Fu-lin Tang

96 total papers · 1.4k total citations
52 papers, 857 citations indexed

About

Fu-lin Tang is a scholar working on Rheumatology, Immunology and Epidemiology. According to data from OpenAlex, Fu-lin Tang has authored 52 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Rheumatology, 15 papers in Immunology and 10 papers in Epidemiology. Recurrent topics in Fu-lin Tang's work include Systemic Lupus Erythematosus Research (18 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Rheumatoid Arthritis Research and Therapies (8 papers). Fu-lin Tang is often cited by papers focused on Systemic Lupus Erythematosus Research (18 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Rheumatoid Arthritis Research and Therapies (8 papers). Fu-lin Tang collaborates with scholars based in China and United States. Fu-lin Tang's co-authors include Xuan Zhang, Lidan Zhao, Xiaofeng Zeng, Xin You, Fengchun Zhang, Wenjie Zheng, Fengchun Zhang, Hua Chen, Huaxia Yang and Xinping Tian and has published in prestigious journals such as PLoS ONE, Science Translational Medicine and Medicine.

In The Last Decade

Fu-lin Tang

49 papers receiving 837 citations

Author Peers

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

Author Last Decade Papers Cites
Fu-lin Tang 422 384 161 104 97 52 857
Yasuo Nagafuchi 320 0.8× 381 1.0× 169 1.0× 105 1.0× 101 1.0× 46 767
Iman H. Bassyouni 433 1.0× 493 1.3× 166 1.0× 58 0.6× 101 1.0× 43 920
Edith Oregon‐Romero 314 0.7× 332 0.9× 156 1.0× 41 0.4× 82 0.8× 51 774
Tsan‐Teng Ou 342 0.8× 406 1.1× 245 1.5× 89 0.9× 163 1.7× 59 992
Anna Laura Fedele 475 1.1× 239 0.6× 171 1.1× 66 0.6× 67 0.7× 48 862
María‐Eugenia Miranda‐Carús 464 1.1× 528 1.4× 188 1.2× 72 0.7× 126 1.3× 30 1.0k
Georg Stummvoll 283 0.7× 543 1.4× 131 0.8× 52 0.5× 117 1.2× 32 939
Taro Iwamoto 503 1.2× 320 0.8× 121 0.8× 197 1.9× 68 0.7× 41 916
Thomas Karonitsch 460 1.1× 352 0.9× 233 1.4× 136 1.3× 151 1.6× 41 980
Hiroko Kanda 271 0.6× 299 0.8× 129 0.8× 109 1.0× 95 1.0× 55 817

Countries citing papers authored by Fu-lin Tang

Since Specialization
Citations

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

Fields of papers citing papers by Fu-lin Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fu-lin Tang. 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 Fu-lin Tang. The network helps show where Fu-lin Tang may publish in the future.

Co-authorship network of co-authors of Fu-lin Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Fu-lin Tang. A scholar is included among the top collaborators of Fu-lin Tang 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 Fu-lin Tang. Fu-lin Tang 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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