Ke Lin

715 total citations
11 papers, 98 citations indexed

About

Ke Lin is a scholar working on Oncology, Infectious Diseases and Surgery. According to data from OpenAlex, Ke Lin has authored 11 papers receiving a total of 98 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 2 papers in Infectious Diseases and 2 papers in Surgery. Recurrent topics in Ke Lin's work include SARS-CoV-2 and COVID-19 Research (2 papers), Autoimmune Neurological Disorders and Treatments (1 paper) and Influenza Virus Research Studies (1 paper). Ke Lin is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (2 papers), Autoimmune Neurological Disorders and Treatments (1 paper) and Influenza Virus Research Studies (1 paper). Ke Lin collaborates with scholars based in China, Hong Kong and United States. Ke Lin's co-authors include Zhangfan Fu, Jingwen Ai, Hongyu Wang, Yuanhan Zhao, H. C. Zhang, Jieyu Song, Yang Zhou, Wenhong Zhang, Peng Cui and Meisi Lin and has published in prestigious journals such as BMC Cancer, Frontiers in Cellular and Infection Microbiology and Frontiers in Medicine.

In The Last Decade

Ke Lin

9 papers receiving 98 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ke Lin China 7 42 28 16 16 15 11 98
María José Currás-Tuala Spain 6 74 1.8× 33 1.2× 9 0.6× 42 2.6× 5 0.3× 16 150
Alberto San Francisco Ramos United Kingdom 4 21 0.5× 31 1.1× 11 0.7× 16 1.0× 6 0.4× 9 78
Seble Tekle Kiros Italy 7 100 2.4× 19 0.7× 8 0.5× 16 1.0× 6 0.4× 18 123
Art Marzok Canada 4 70 1.7× 31 1.1× 9 0.6× 19 1.2× 7 0.5× 5 116
Ester Gea‐Mallorquí United Kingdom 8 95 2.3× 42 1.5× 16 1.0× 25 1.6× 13 0.9× 25 186
Daniel Jenkin United Kingdom 5 51 1.2× 20 0.7× 13 0.8× 33 2.1× 4 0.3× 10 91
Daryl Geers Netherlands 5 93 2.2× 45 1.6× 13 0.8× 19 1.2× 34 2.3× 15 144
Dario Bernacchia Italy 5 85 2.0× 17 0.6× 9 0.6× 16 1.0× 2 0.1× 7 115
Marc Bennedbæk Denmark 7 45 1.1× 25 0.9× 7 0.4× 28 1.8× 2 0.1× 16 119
Ryan Gadd United States 2 117 2.8× 20 0.7× 10 0.6× 9 0.6× 16 1.1× 3 138

Countries citing papers authored by Ke Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ke Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Lin. A scholar is included among the top collaborators of Ke 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 Ke Lin. Ke Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
2.
Zhang, Jisheng, Aijun Zhang, Yi Yang, et al.. (2025). Explainable machine learning model and nomogram for predicting the efficacy of Traditional Chinese Medicine in treating Long COVID: a retrospective study. Frontiers in Medicine. 12. 1529993–1529993. 2 indexed citations
3.
Lin, Ke, Yan Jiang, Kaichun Wu, et al.. (2024). Association of Klotho and Gout in Middle-Aged and Older Adults. JCR Journal of Clinical Rheumatology. 31(4). 127–133.
4.
Song, Jieyu, Xiaojia Wang, Yi Zhang, et al.. (2023). Utility of clinical metagenomics in diagnosing malignancies in a cohort of patients with Epstein-Barr virus positivity. Frontiers in Cellular and Infection Microbiology. 13. 1211732–1211732. 8 indexed citations
5.
Lin, Ke, Liangmin Fu, Fei Liu, et al.. (2023). Overexpression of TREM1 is Associated with the Immune-Suppressive Microenvironment and Unfavorable Prognosis in Pan-Cancer. Journal of Inflammation Research. Volume 16. 1375–1391. 9 indexed citations
6.
Fu, Zhangfan, Haocheng Zhang, Yi Zhang, et al.. (2022). Evaluations of Clinical Utilization of Metagenomic Next-Generation Sequencing in Adults With Fever of Unknown Origin. Frontiers in Cellular and Infection Microbiology. 11. 745156–745156. 25 indexed citations
7.
Lin, Meisi, Rita Yim, Qiyan Chen, et al.. (2022). Pan-cancer analysis of oncogenic TNFAIP2 identifying its prognostic value and immunological function in acute myeloid leukemia. BMC Cancer. 22(1). 1068–1068. 9 indexed citations
8.
Li, Jiao, Bo Deng, Xiaoni Liu, et al.. (2022). Immunotherapies for the Effective Treatment of Primary Autoimmune Cerebellar Ataxia: a Case Series. The Cerebellum. 22(6). 1216–1222. 2 indexed citations
9.
Ai, Jingwen, Yi Zhang, H. C. Zhang, et al.. (2022). Safety and immunogenicity of a third-dose homologous BBIBP-CorV boosting vaccination: interim results from a prospective open-label study. Emerging Microbes & Infections. 11(1). 639–647. 29 indexed citations
10.
Zhang, Yi, Ning Jiang, Tao Li, et al.. (2022). SARS-CoV-2 intra-host single-nucleotide variants associated with disease severity. Virus Evolution. 8(2). veac106–veac106. 8 indexed citations

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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