Jin Lin

760 citations
30 papers · 372 · h-index 11

Impact in

  • Neurology top 10%
    • Neurological Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disorders and Treatments
  • Nephrology top 10%
    • Acute Kidney Injury Research

Papers in

Jin Lin

27 papers receiving 366 citations

Peers

Jin Lin
Comparison fields: 5 of 68
  • Neurology 106
  • Nephrology 65
  • Critical Care and Intensive Care Medicine 10
  • Epidemiology 58
  • Complementary and alternative medicine 13
Replace Ling-yun Liu with:
Ling-yun Liu China
Xiaoli Ge China
Rosa Montero United Kingdom
Lixin Wang China
Leandro Eziquiel de Souza Brazil
Lisanne C. de Vos Netherlands
Emi Ogasawara Japan
Megan Watts United States
Nengxian Shi China
Jin Lin relative to Ling-yun Liu China Ling-yun Liu's profile →
Citations per field
00.5×
Ling-yun Liu · 1×
Citations per year

Countries citing papers authored by Jin Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jin Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jin Lin Line = papers co-authored together Jin Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003136
2 202133
3 201828
4 202125
5 202015
6 202114
7 202213
8 202213
9 201912
10 201811
11 202310
12 20219
13 20167
14 20216
15 20225
16
[Distribution of ischemic leukoaraiosis in MRI: a difference from white matter lesions in CADASIL].
20055
17 20214
18 20244
19 20214
20 20144

About Jin Lin

Jin Lin is a scholar working on Nephrology, Epidemiology, Surgery, Molecular Biology and Pharmacology, having authored 30 papers that have together received 372 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (10 papers), Acute Kidney Injury Research (9 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers), Hemodynamic Monitoring and Therapy (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (2 papers), Gestational Diabetes Research and Management (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Neurology (106 citations), Nephrology (65 citations), Critical Care and Intensive Care Medicine (10 citations), Epidemiology (58 citations) and Complementary and alternative medicine (13 citations). Jin Lin has collaborated with scholars based in China, Australia and Japan. Frequent co-authors include Meili Duan, Ryo Ohtani, Hideaki Wakita, Hidekazu Tomimoto, Masako Kinoshita, H. Shibasaki, Ichiro Akiguchi, Masafumi Ihara, Lei Dong and Jiawei He. Their work appears in journals such as Frontiers in Medicine, Journal of Clinical Medicine, Frontiers in Cellular and Infection Microbiology, Nephrology and Acta Neuropathologica.

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.

Explore authors with similar magnitude of impact