Fang-An Chen

16 total papers · 546 total citations
15 papers, 462 citations indexed

About

Fang-An Chen is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Fang-An Chen has authored 15 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 6 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in Fang-An Chen's work include Immunotherapy and Immune Responses (9 papers), Immune Cell Function and Interaction (6 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Fang-An Chen is often cited by papers focused on Immunotherapy and Immune Responses (9 papers), Immune Cell Function and Interaction (6 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Fang-An Chen collaborates with scholars based in United States, Japan and Canada. Fang-An Chen's co-authors include Richard B. Bankert, Nejat K. Egilmez, Hiroshi Takita, Yoshimi Iwanuma, Yoshihiro Kawaguchi, Michael S. Sabel, Thomas F. Conway, M Sugano, S K Huang and Soichiro Yokota and has published in prestigious journals such as International Journal of Cancer, Journal of Immunological Methods and Cancer Immunology Immunotherapy.

In The Last Decade

Fang-An Chen

14 papers receiving 449 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fang-An Chen 198 180 157 86 85 15 462
Sebastian B. Riese 173 0.9× 290 1.6× 86 0.5× 55 0.6× 60 0.7× 19 520
Garrett C. Booth 136 0.7× 234 1.3× 88 0.6× 71 0.8× 51 0.6× 10 457
Jagdish Rao 183 0.9× 177 1.0× 91 0.6× 66 0.8× 46 0.5× 8 532
Gregory J. Duigou 142 0.7× 279 1.6× 162 1.0× 73 0.8× 26 0.3× 22 528
Radoslav Mladenov 190 1.0× 275 1.5× 89 0.6× 101 1.2× 65 0.8× 23 545
Ling Tian 271 1.4× 290 1.6× 189 1.2× 53 0.6× 25 0.3× 20 500
Xiaoli Hui 81 0.4× 218 1.2× 186 1.2× 106 1.2× 47 0.6× 16 476
Vinod Nadella 222 1.1× 157 0.9× 100 0.6× 39 0.5× 40 0.5× 16 463
Amanda McWatters 112 0.6× 221 1.2× 191 1.2× 91 1.1× 39 0.5× 27 538
Khalid Abu Ajaj 64 0.3× 222 1.2× 163 1.0× 97 1.1× 155 1.8× 16 496

Countries citing papers authored by Fang-An Chen

Since Specialization
Citations

This map shows the geographic impact of Fang-An Chen'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 Fang-An Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang-An Chen more than expected).

Fields of papers citing papers by Fang-An Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fang-An Chen. 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 Fang-An Chen. The network helps show where Fang-An Chen may publish in the future.

Co-authorship network of co-authors of Fang-An Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Fang-An Chen. A scholar is included among the top collaborators of Fang-An Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fang-An Chen. Fang-An Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026