Huidan Li

27 total papers · 481 total citations
20 papers, 383 citations indexed

About

Huidan Li is a scholar working on Molecular Biology, Immunology and Psychiatry and Mental health. According to data from OpenAlex, Huidan Li has authored 20 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Immunology and 4 papers in Psychiatry and Mental health. Recurrent topics in Huidan Li's work include Connective Tissue Growth Factor Research (8 papers), Psoriasis: Treatment and Pathogenesis (5 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers). Huidan Li is often cited by papers focused on Connective Tissue Growth Factor Research (8 papers), Psoriasis: Treatment and Pathogenesis (5 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers). Huidan Li collaborates with scholars based in China. Huidan Li's co-authors include Baihua Shen, Ningli Li, Rongfen Huo, Tianhang Zhai, Jie Zhang, Yue Sun, Haichuan Li, Pinru Wu, Dongmei Shi and Xianjin Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Investigative Dermatology.

In The Last Decade

Huidan Li

17 papers receiving 379 citations

Author Peers

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

Author Last Decade Papers Cites
Huidan Li 160 145 57 55 49 20 383
Pinru Wu 175 1.1× 110 0.8× 33 0.6× 100 1.8× 53 1.1× 14 401
Shangxue Yan 127 0.8× 126 0.9× 32 0.6× 14 0.3× 104 2.1× 20 353
Shuhui Meng 123 0.8× 112 0.8× 11 0.2× 8 0.1× 67 1.4× 25 340
Quan‐you Zheng 122 0.8× 119 0.8× 26 0.5× 15 0.3× 22 0.4× 21 355
Weiyuan Ma 221 1.4× 106 0.7× 14 0.2× 41 0.7× 23 0.5× 23 407
Zijian Ma 213 1.3× 89 0.6× 11 0.2× 17 0.3× 34 0.7× 31 396
Kazunori Iwasaki 73 0.5× 87 0.6× 23 0.4× 12 0.2× 93 1.9× 21 415
Victor Martín 119 0.7× 148 1.0× 7 0.1× 27 0.5× 68 1.4× 18 419
Yan Dai 181 1.1× 99 0.7× 28 0.5× 18 0.3× 8 0.2× 19 417
Yiping Hu 191 1.2× 88 0.6× 35 0.6× 5 0.1× 128 2.6× 28 442

Countries citing papers authored by Huidan Li

Since Specialization
Citations

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

Fields of papers citing papers by Huidan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huidan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Huidan Li. A scholar is included among the top collaborators of Huidan Li 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 Huidan Li. Huidan Li 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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