Feng Zhou

108 total papers · 10.6k total citations
69 papers, 1.2k citations indexed

About

Feng Zhou is a scholar working on Surgery, Epidemiology and Infectious Diseases. According to data from OpenAlex, Feng Zhou has authored 69 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Surgery, 21 papers in Epidemiology and 13 papers in Infectious Diseases. Recurrent topics in Feng Zhou's work include Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers), Tuberculosis Research and Epidemiology (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). Feng Zhou is often cited by papers focused on Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers), Tuberculosis Research and Epidemiology (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). Feng Zhou collaborates with scholars based in China, United States and Germany. Feng Zhou's co-authors include Qi Jin, Lei Gao, Yu Yang, Xiangwei Li, Cong Gao, Mufei Li, Jinliang Xing, Yuhua Ruan, Hongzhou Lu and Yunzhi Zhang and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Feng Zhou

65 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Feng Zhou 432 324 306 263 137 69 1.2k
Pi‐Yueh Chang 274 0.6× 107 0.3× 208 0.7× 398 1.5× 108 0.8× 68 1.4k
Eleni Karapanagiotou 143 0.3× 193 0.6× 116 0.4× 459 1.7× 76 0.6× 68 1.4k
Joseph L. Kinzie 172 0.4× 94 0.3× 478 1.6× 148 0.6× 88 0.6× 39 1.5k
Hua Wu 164 0.4× 82 0.3× 146 0.5× 228 0.9× 104 0.8× 86 1.2k
Luc L. Oligny 252 0.6× 55 0.2× 522 1.7× 342 1.3× 190 1.4× 59 1.4k
Anita Koushik 543 1.3× 83 0.3× 210 0.7× 283 1.1× 84 0.6× 64 1.4k
José Miguel Dora 184 0.4× 130 0.4× 190 0.6× 212 0.8× 93 0.7× 62 1.3k
Ming Wang 122 0.3× 382 1.2× 143 0.5× 260 1.0× 210 1.5× 62 1.3k
Jing Wu 288 0.7× 166 0.5× 135 0.4× 225 0.9× 107 0.8× 54 1.2k
Alfin G. Vicencio 181 0.4× 502 1.5× 299 1.0× 252 1.0× 272 2.0× 48 1.4k

Countries citing papers authored by Feng Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Feng Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Zhou. A scholar is included among the top collaborators of Feng Zhou 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 Feng Zhou. Feng Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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