Feng Jin

61 papers and 988 indexed citations i.

About

Feng Jin is a scholar working on Genetics, Molecular Biology and Immunology. According to data from OpenAlex, Feng Jin has authored 61 papers receiving a total of 988 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 13 papers in Molecular Biology and 12 papers in Immunology. Recurrent topics in Feng Jin’s work include Chronic Lymphocytic Leukemia Research (17 papers), Chronic Myeloid Leukemia Treatments (7 papers) and Acute Lymphoblastic Leukemia research (6 papers). Feng Jin is often cited by papers focused on Chronic Lymphocytic Leukemia Research (17 papers), Chronic Myeloid Leukemia Treatments (7 papers) and Acute Lymphoblastic Leukemia research (6 papers). Feng Jin collaborates with scholars based in China, United States and Ghana. Feng Jin's co-authors include Joseph P. Balthasar, Suhasini Iyer, Rong Deng, Saileta Prabhu, Srini Ramanathan, Debao Liu, Huafeng Zhou, Minfang Chen, Brian P. Kearney and Wojciech Krzyżański and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer Research.

In The Last Decade

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

Fields of papers citing papers by Feng Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng Jin. 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 Feng Jin. The network helps show where Feng Jin may publish in the future.

Countries citing papers authored by Feng Jin

Since Specialization
Citations

This map shows the geographic impact of Feng Jin'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 Feng Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Jin 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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2025