Li Jin

414 citations
24 papers · 292 · h-index 8

Impact in

Papers in

Li Jin

24 papers receiving 280 citations

Peers

Li Jin
Comparison fields: 5 of 69
  • Orthopedics and Sports Medicine 85
  • Nephrology 26
  • Genetics 21
  • Oncology 47
  • Pathology and Forensic Medicine 31
Replace Jeremy M. Kilburn with:
Jeremy M. Kilburn United States
José Luis del Castillo Pardo de Vera Spain
Mohammad W. Aref United States
Hideko Takagi Japan
Sung Woon Pyo South Korea
Jiewen Jin China
Ashraf Fakhrjou Iran
Makoto Enokida Japan
Nathalie Portero-Muzy France
Emma Louise Woods United Kingdom
Li Jin relative to Jeremy M. Kilburn United States Jeremy M. Kilburn's profile →
Citations per field
00.5×2×2.8×
Jeremy M. Kilburn · 1×
Citations per year

Countries citing papers authored by Li Jin

Since Specialization
Citations

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

Fields of papers citing papers by Li Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004128
2 201940
3 201723
4 201817
5 201214
6
Association Between Blood PLT and RBC Related Indices and Disease Activity in Patients with Rheumatoid Arthritis
202213
7 201711
8 20249
9 20197
10 20225
11 20234
12 20244
13 20254
14 20193
15 20141
16 20231
17
Study Overview about Therapy of Cervical Spondylosis by Traction
20071
18 20221
19 20231
20 20231

About Li Jin

Li Jin is a scholar working on Nephrology, Pathology and Forensic Medicine, Hematology, Surgery and Molecular Biology, having authored 24 papers that have together received 292 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (3 papers), Lung Cancer Diagnosis and Treatment (2 papers), Orthopaedic implants and arthroplasty (2 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper), Dialysis and Renal Disease Management (1 paper), Parathyroid Disorders and Treatments (1 paper), Advancements in Transdermal Drug Delivery (1 paper) and Connective tissue disorders research (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (85 citations), Nephrology (26 citations), Genetics (21 citations), Oncology (47 citations) and Pathology and Forensic Medicine (31 citations). Li Jin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xudong Joshua Li, Quanjun Cui, Gwo‐Jaw Wang, Gary Balian, Liyi Xie, Francis H. Shen, Jie Feng, Wanhong Lu, Li Xiao and Tinghui Li. Their work appears in journals such as Renal Failure, Biosensors, Frontiers in Physiology, Calcified Tissue International and ACS Applied Materials & Interfaces.

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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