Citation Network


Which of the vast oceans of literatures are the most important? How to read key literature in a limited time when you are new to a field? "Citation Network" allows researchers to quickly identify the classic / important literatures in a field within a few minutes and do more research with less effort.

Below, we use “hyperscanning” (a technique in brain science) as a keyword to demonstrate the citation network in this field. Here is a screen shot:

After entering the keyword, Stork searched and analyzed 154 related publications in real time, and then made a network graph of the relationship between them. Each point is an article, arranged from left to right by publication date (the oldest is on the left). The size of the points is proportional to the impact score of the literature. The impact score is, in most cases, the number of times the article has been cited (by papers limited to the keyword), but for the newly published literature, the impact factor of the publishing journal is added because it has not been cited yet. It is very clear from the diagram which are important articles. For example, the big point on the far left is the classic article by Montague in 2002 who was the pioneer in hyperscanning.

This graph, as well as individual papers inside it, can be dragged, zoomed in/out with the mouse. After clicking on an point, the information (author and year) of the literature will appear. Click again and the abstract page will be loaded.

What if the number of literatures is large? When the number of literatures is several thousand, the points will be very dense, and the important literatures become difficult to visually identify. In this case, you may click on the buttons below the graph to limit the number of literatures shown. For example, clicking on button "Keep TOP 5%" will only keep the top 5% of the literatures in the graph.

Stork also lists the detailed of these literatures (up to Top 1000) below the graph, including author, year, journal, number, title, PubMed ID, impact factor and citation numbers. By clicking the PubMed ID you find the abstract. In addition, if you want to download all literatures, click on “Export Papers” button, and the list will be downloaded as CSV file which can be opened in Excel or other programs.



The citation data is from PubMed. Compared to Google Scholar or Web of Science, the data is not as comprehensive. But it is adequate for the purpose of finding important literatuers.


From the above example, it can be seen that the citation network has the following benefits for researchers and students:

  1. Identify the classic literatures in a field quickly
  2. Provide a handy tool when writing review articles
  3. Read the most important articles in a limited time

How to use?

Please go to Stork main page (account required), scroll down to the Advanced Feature section, check the "Add to cart" box and then click "Subscribe" Button. Your payment is processed securely via Stripe.

Other advanced features

  1. Stork Pro
  2. Email Translate
  3. NIH Grant Database: Search, Translate & Alert
  4. PubMed Multi-Language Search, Translate & Alert
  5. Big Analysis
  6. Citation Network
  7. Preprint Alert
  8. AI Creative Abstract
  9. Sentence Sea
  10. Listen to papers

Stork Official Website: