J.-C. Lin

23 total papers · 861 total citations
19 papers, 684 citations indexed

About

J.-C. Lin is a scholar working on Oncology, Epidemiology and Rheumatology. According to data from OpenAlex, J.-C. Lin has authored 19 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 7 papers in Epidemiology and 6 papers in Rheumatology. Recurrent topics in J.-C. Lin's work include Viral-associated cancers and disorders (10 papers), Eosinophilic Disorders and Syndromes (6 papers) and Antibiotic Resistance in Bacteria (5 papers). J.-C. Lin is often cited by papers focused on Viral-associated cancers and disorders (10 papers), Eosinophilic Disorders and Syndromes (6 papers) and Antibiotic Resistance in Bacteria (5 papers). J.-C. Lin collaborates with scholars based in Taiwan, United States and Belgium. J.-C. Lin's co-authors include Joseph S. Pagano, Erik De Clercq, Shannon C. Kenney, James Kamine, Elizabeth Holley-Guthrie, L. Kristopher Siu, Feng‐Yee Chang, J S Pagano, Chang‐Phone Fung and H. Machida and has published in prestigious journals such as Journal of Virology, The Journal of Infectious Diseases and Antimicrobial Agents and Chemotherapy.

In The Last Decade

J.-C. Lin

19 papers receiving 651 citations

Author Peers

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

Author						Papers	Cites
J.-C. Lin	280	234	190	185	109	19	684
Jung-Chung Lin	247 0.9×	247 1.1×	206 1.1×	173 0.9×	73 0.7×	30	673
Christian Fermér	79 0.3×	252 1.1×	76 0.4×	202 1.1×	23 0.2×	27	719
Erik Beuken	132 0.5×	380 1.6×	69 0.4×	55 0.3×	21 0.2×	22	611
Quynh Nguyen	94 0.3×	135 0.6×	110 0.6×	78 0.4×	11 0.1×	27	650
Paul Grint	77 0.3×	200 0.9×	47 0.2×	90 0.5×	26 0.2×	30	790
M Green	269 1.0×	255 1.1×	33 0.2×	331 1.8×	82 0.8×	20	696
Maria Angela Biasolo	137 0.5×	328 1.4×	36 0.2×	182 1.0×	26 0.2×	25	687
Mario Zucca	54 0.2×	112 0.5×	46 0.2×	81 0.4×	17 0.2×	18	683
Percy Schröttner	69 0.2×	99 0.4×	37 0.2×	61 0.3×	26 0.2×	37	578
Ruth J. Napier	80 0.3×	244 1.0×	62 0.3×	229 1.2×	9 0.1×	24	736

Countries citing papers authored by J.-C. Lin

Since Specialization

Citations

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

Fields of papers citing papers by J.-C. Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.-C. 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 J.-C. Lin. The network helps show where J.-C. Lin may publish in the future.

Co-authorship network of co-authors of J.-C. Lin

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