Haiying Fan

12 total papers · 498 total citations
9 papers, 362 citations indexed

About

Haiying Fan is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Haiying Fan has authored 9 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Haiying Fan's work include Glycosylation and Glycoproteins Research (2 papers), NF-κB Signaling Pathways (2 papers) and RNA modifications and cancer (2 papers). Haiying Fan is often cited by papers focused on Glycosylation and Glycoproteins Research (2 papers), NF-κB Signaling Pathways (2 papers) and RNA modifications and cancer (2 papers). Haiying Fan collaborates with scholars based in United States and China. Haiying Fan's co-authors include Baogui Sun, Anne Lafond-Walker, Lewis C. Becker, Qiuping Gu, Suyi Cao, Brent W. Weston, Vishnu Vardhan Reddy Karnati, John L. Carson, Binghe Wang and Weijuan Ni and has published in prestigious journals such as PLoS ONE, American Journal of Physiology-Heart and Circulatory Physiology and Journal of Molecular and Cellular Cardiology.

In The Last Decade

Haiying Fan

9 papers receiving 354 citations

Author Peers

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

Author Last Decade Papers Cites
Haiying Fan 190 71 63 53 48 9 362
Juanjuan Xie 270 1.4× 99 1.4× 27 0.4× 31 0.6× 95 2.0× 18 378
Kokichi Suzuki 142 0.7× 48 0.7× 114 1.8× 19 0.4× 13 0.3× 15 398
Ini‐Isabée Witzel 198 1.0× 86 1.2× 35 0.6× 56 1.1× 6 0.1× 8 379
Zachariah H. Foda 273 1.4× 54 0.8× 56 0.9× 15 0.3× 9 0.2× 9 391
Brian Kawahara 240 1.3× 65 0.9× 22 0.3× 19 0.4× 12 0.3× 11 403
Luyu Qi 148 0.8× 29 0.4× 57 0.9× 20 0.4× 10 0.2× 10 392
Alessandra Mezzetti 194 1.0× 23 0.3× 30 0.5× 35 0.7× 52 1.1× 6 333
Yu-Chieh Lee 223 1.2× 80 1.1× 22 0.3× 36 0.7× 10 0.2× 14 367
Rachel Lieberman 150 0.8× 96 1.4× 21 0.3× 13 0.2× 17 0.4× 14 336
Chun Liu 267 1.4× 67 0.9× 30 0.5× 21 0.4× 10 0.2× 18 368

Countries citing papers authored by Haiying Fan

Since Specialization
Citations

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

Fields of papers citing papers by Haiying Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiying Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Haiying Fan. A scholar is included among the top collaborators of Haiying Fan 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 Haiying Fan. Haiying Fan 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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2026