Jinxi Lin

3.4k citations
79 papers · 1.6k indexed · h-index 20

Impact in

  • Neurology top 2%
    • Neurological Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disorders and Treatments
    • Venous Thromboembolism Diagnosis and Management

Papers in

    • Venous Thromboembolism Diagnosis and Management 7
    • Neurological Disease Mechanisms and Treatments 7

Jinxi Lin

73 papers receiving 1.6k citations

Peers

Jinxi Lin
Comparison fields: 5 of 101
  • Neurology 384
  • Internal Medicine 116
  • Cardiology and Cardiovascular Medicine 451
  • Epidemiology 644
  • Neurology 264
Replace Bo Song with:
Bo Song China
Yongjun Cao China
Francesca Papa Italy
Shoujiang You China
Riccardo Di Sciacca Italy
Cristina Sarti Italy
Pilar Chacón Spain
Yoshinobu Wakisaka Japan
Bradley S. Jacobs United States
Jinxi Lin relative to Bo Song China Bo Song's profile →
Citations per field
00.5×1.5×2.0×
Bo Song · 1×
Citations per year

Countries citing papers authored by Jinxi Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jinxi Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jinxi 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 Jinxi Lin Line = papers co-authored together Jinxi Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20240
3 20230
4 20235
5 20234
6 202311
7 20232
8
Interleukin-6 as Predictor of One-Year Cognitive Function After Ischemic Stroke or TIA
202212
9 20224
10 202212
11 20225
12 20221
13 202138
14 20219
15 202138
16 20206
17 20179
18 2016250
19 201250
20 201214

About Jinxi Lin

Jinxi Lin is a scholar working on Internal Medicine, Neurology, Cardiology and Cardiovascular Medicine, Nephrology and Epidemiology, having authored 79 papers that have together received 1.6k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (29 papers), Antiplatelet Therapy and Cardiovascular Diseases (22 papers), Lipoproteins and Cardiovascular Health (19 papers), Cerebrovascular and Carotid Artery Diseases (16 papers), Atrial Fibrillation Management and Outcomes (12 papers), Venous Thromboembolism Diagnosis and Management (7 papers), Neurological Disease Mechanisms and Treatments (7 papers) and Atherosclerosis and Cardiovascular Diseases (6 papers). The work is most often cited by research in Neurology (384 citations), Internal Medicine (116 citations), Cardiology and Cardiovascular Medicine (451 citations), Epidemiology (644 citations) and Neurology (264 citations). Jinxi Lin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yongjun Wang, Hao Li, Xingquan Zhao, Yuesong Pan, Yilong Wang, Hidekazu Tomimoto, Xia Meng, Liping Liu, Hideaki Wakita and Xia Meng. Their work appears in journals such as Stroke, Stroke and Vascular Neurology, Neurology, Cerebrovascular Diseases and Frontiers in Neurology.

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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