P. Charles Lin

21 total papers · 982 total citations
11 papers, 797 citations indexed

About

P. Charles Lin is a scholar working on Molecular Biology, Immunology and Allergy and Pharmacology. According to data from OpenAlex, P. Charles Lin has authored 11 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Immunology and Allergy and 2 papers in Pharmacology. Recurrent topics in P. Charles Lin's work include Angiogenesis and VEGF in Cancer (7 papers), Cell Adhesion Molecules Research (5 papers) and Inflammatory mediators and NSAID effects (2 papers). P. Charles Lin is often cited by papers focused on Angiogenesis and VEGF in Cancer (7 papers), Cell Adhesion Molecules Research (5 papers) and Inflammatory mediators and NSAID effects (2 papers). P. Charles Lin collaborates with scholars based in United States, Australia and United Kingdom. P. Charles Lin's co-authors include Hanako Kobayashi, Kimberly Boelte, Edwin F. Donnelly, Elaine Sierra‐Rivera, Dennis E. Hallahan, Ling Geng, Gerald McMahon, Laura M. DeBusk, Richard Breyer and Ambra Pozzi and has published in prestigious journals such as The Journal of Experimental Medicine, PLoS ONE and Oncogene.

In The Last Decade

P. Charles Lin

11 papers receiving 786 citations

Author Peers

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

Author Last Decade Papers Cites
P. Charles Lin 417 232 194 124 95 11 797
Michael Papetti 638 1.5× 171 0.7× 217 1.1× 100 0.8× 67 0.7× 11 967
Eva Besemfelder 458 1.1× 186 0.8× 142 0.7× 140 1.1× 53 0.6× 12 864
Stacy Carl-McGrath 417 1.0× 377 1.6× 161 0.8× 96 0.8× 96 1.0× 17 924
Rachelle L. Dillon 539 1.3× 255 1.1× 159 0.8× 70 0.6× 60 0.6× 18 821
Hanhua Huang 591 1.4× 182 0.8× 261 1.3× 126 1.0× 94 1.0× 13 863
Sujatha Jagadeeswaran 462 1.1× 359 1.5× 196 1.0× 99 0.8× 169 1.8× 16 966
Fazilat F. Mohammed 317 0.8× 285 1.2× 361 1.9× 121 1.0× 66 0.7× 9 1.0k
Frances D. Battey 441 1.1× 114 0.5× 363 1.9× 105 0.8× 63 0.7× 9 1.0k
Shannon C. Dixon 453 1.1× 216 0.9× 153 0.8× 115 0.9× 222 2.3× 18 844
Evelyn Aranda 410 1.0× 210 0.9× 126 0.6× 105 0.8× 55 0.6× 12 750

Countries citing papers authored by P. Charles Lin

Since Specialization
Citations

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

Fields of papers citing papers by P. Charles Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Charles Lin. 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 P. Charles Lin. The network helps show where P. Charles Lin may publish in the future.

Co-authorship network of co-authors of P. Charles Lin

This figure shows the co-authorship network connecting the top 25 collaborators of P. Charles Lin. A scholar is included among the top collaborators of P. Charles Lin 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 P. Charles Lin. P. Charles Lin 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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