Meng Lin

51 total papers · 2.6k total citations
33 papers, 1.1k citations indexed

About

Meng Lin is a scholar working on Molecular Biology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Meng Lin has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 11 papers in Immunology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Meng Lin's work include interferon and immune responses (8 papers), Inflammasome and immune disorders (6 papers) and Immune Response and Inflammation (4 papers). Meng Lin is often cited by papers focused on interferon and immune responses (8 papers), Inflammasome and immune disorders (6 papers) and Immune Response and Inflammation (4 papers). Meng Lin collaborates with scholars based in China, United States and Germany. Meng Lin's co-authors include Jun Cui, Rong‐Fu Wang, Peng Tan, Yang Du, Tianhao Duan, Qingxiang Liu, Weihong Xie, Zhiyao Zhao, Yunfei Qin and Helen Y. Wang and has published in prestigious journals such as Nature Communications, The EMBO Journal and Molecular Cell.

In The Last Decade

Meng Lin

32 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
Meng Lin	589	399	139	137	131	33	1.1k
Akihiro Konno	398 0.7×	549 1.4×	125 0.9×	86 0.6×	97 0.7×	37	1.2k
Thomas Carroll	646 1.1×	339 0.8×	106 0.8×	168 1.2×	65 0.5×	22	1.1k
Cláudia Silva	386 0.7×	259 0.6×	219 1.6×	124 0.9×	84 0.6×	40	1.1k
Kristofor K. Ellestad	456 0.8×	449 1.1×	124 0.9×	123 0.9×	91 0.7×	27	1.1k
Il‐Young Hwang	568 1.0×	536 1.3×	144 1.0×	57 0.4×	137 1.0×	40	1.2k
Hong‐Ru Chen	312 0.5×	262 0.7×	105 0.8×	47 0.3×	84 0.6×	37	1.0k
Stamatia Papoutsopoulou	417 0.7×	376 0.9×	170 1.2×	207 1.5×	90 0.7×	39	1.1k
Yasunobu Arima	379 0.6×	501 1.3×	228 1.6×	100 0.7×	103 0.8×	37	1.2k
Zhengcai Jia	377 0.6×	354 0.9×	102 0.7×	49 0.4×	199 1.5×	51	971
Scott M. Krummey	258 0.4×	536 1.3×	187 1.3×	80 0.6×	114 0.9×	37	1.0k

Countries citing papers authored by Meng Lin

Since Specialization

Citations

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

Fields of papers citing papers by Meng Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Lin

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