Guorong Lin

31 total papers · 810 total citations
25 papers, 682 citations indexed

About

Guorong Lin is a scholar working on Molecular Biology, Surgery and Biochemistry. According to data from OpenAlex, Guorong Lin has authored 25 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Surgery and 5 papers in Biochemistry. Recurrent topics in Guorong Lin's work include Cholesterol and Lipid Metabolism (8 papers), Metabolism, Diabetes, and Cancer (5 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). Guorong Lin is often cited by papers focused on Cholesterol and Lipid Metabolism (8 papers), Metabolism, Diabetes, and Cancer (5 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). Guorong Lin collaborates with scholars based in China, Canada and United States. Guorong Lin's co-authors include John F. Oram, David P. Wade, Armando J. Mendez, Richard M. Lawn, Kathleen M. MacLeod, H. S. Soliman, Karin Bornfeldt, Fulin Sun, Chunzhong Wang and Ujendra Kumar and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.

In The Last Decade

Guorong Lin

25 papers receiving 670 citations

Author Peers

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

Author						Papers	Cites
Guorong Lin	348	265	128	86	80	25	682
C. Delbart	258 0.7×	175 0.7×	128 1.0×	41 0.5×	95 1.2×	23	665
Yong‐Hyun Han	288 0.8×	137 0.5×	83 0.6×	120 1.4×	167 2.1×	37	779
Neelam Srivastava	306 0.9×	186 0.7×	100 0.8×	35 0.4×	62 0.8×	21	642
Yaling Tang	218 0.6×	171 0.6×	57 0.4×	89 1.0×	96 1.2×	38	675
Johan Bourghardt Fagman	280 0.8×	164 0.6×	158 1.2×	105 1.2×	55 0.7×	25	712
Matteo Pedrelli	226 0.6×	270 1.0×	76 0.6×	58 0.7×	132 1.6×	37	681
Kezhi Dai	332 1.0×	105 0.4×	59 0.5×	123 1.4×	54 0.7×	20	705
Swapnil V. Shewale	247 0.7×	134 0.5×	46 0.4×	66 0.8×	133 1.7×	19	587
Jaganathan Subramani	269 0.8×	73 0.3×	104 0.8×	103 1.2×	99 1.2×	28	672
Sadatsugu Sakane	253 0.7×	80 0.3×	82 0.6×	76 0.9×	95 1.2×	28	754

Countries citing papers authored by Guorong Lin

Since Specialization

Citations

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

Fields of papers citing papers by Guorong Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guorong Lin

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