Jean Feng

About

Jean Feng is a scholar working on Surgery, Artificial Intelligence and Oncology. According to data from OpenAlex, Jean Feng has authored 32 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 6 papers in Artificial Intelligence and 5 papers in Oncology. Recurrent topics in Jean Feng’s work include Gestational Diabetes Research and Management (5 papers), Colorectal Cancer Screening and Detection (3 papers) and Pregnancy and preeclampsia studies (3 papers). Jean Feng is often cited by papers focused on Gestational Diabetes Research and Management (5 papers), Colorectal Cancer Screening and Detection (3 papers) and Pregnancy and preeclampsia studies (3 papers). Jean Feng collaborates with scholars based in United States, China and France. Jean Feng's co-authors include Romain Pirracchio, Noah Simon, Alan Hubbard, Rachael V. Phillips, Ivana Malenica, Charles P. Quesenberry, Leo Anthony Celi, Andrew Bishara, C.E. Lewis and David R. Jacobs and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and Annals of Surgery.

In The Last Decade

Co-authorship network of co-authors of Jean Feng i

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Fields of papers citing papers by Jean Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean Feng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jean Feng. The network helps show where Jean Feng may publish in the future.

Countries citing papers authored by Jean Feng

Since Specialization

Citations

This map shows the geographic impact of Jean Feng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jean Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean Feng more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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