Xiaoping Jin

1.1k citations
34 papers · 709 · h-index 12

Impact in

Papers in

Xiaoping Jin

33 papers receiving 706 citations

Peers

Xiaoping Jin
Comparison fields: 5 of 97
  • Cancer Research 76
  • Immunology 109
  • Molecular Biology 342
  • Cardiology and Cardiovascular Medicine 54
  • Nephrology 17
Replace Yideng Jiang with:
Yideng Jiang China
Jiru Zhang China
Geng Zhang China
Le Bu China
Zhipeng Cao China
Xiaobin Zhou China
Wenbo Zhi United States
Jiani Yuan China
Yoon Suk Kim South Korea
Xiaoping Jin relative to Yideng Jiang China Yideng Jiang's profile →
Citations per field
00.5×1.7×
Yideng Jiang · 1×
Citations per year

Countries citing papers authored by Xiaoping Jin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201696
2 201982
3 201175
4 201764
5 200362
6 201649
7 201945
8 201238
9 201723
10
Celastrol may have an anti-atherosclerosis effect in a rabbit experimental carotid atherosclerosis model.
201418
11 202517
12 201115
13 201811
14 202211
15 201610
16
The association between the FABP2 Ala54Thr variant and the risk of type 2 diabetes mellitus: a meta-analysis based on 11 case-control studies.
20159
17 20239
18 20118
19 20138
20
[Association of matrix metalloproteinase-3 serum level and the promoter 5A/6A polymorphism of the MMP-3 gene with atherosclerotic cerebral infarction].
20087

About Xiaoping Jin

Xiaoping Jin is a scholar working on Cancer Research, Hematology, Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine, having authored 34 papers that have together received 709 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (9 papers), S100 Proteins and Annexins (4 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Peptidase Inhibition and Analysis (2 papers), Cardiac Fibrosis and Remodeling (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Nanoplatforms for cancer theranostics (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cancer Research (76 citations), Immunology (109 citations), Molecular Biology (342 citations), Cardiology and Cardiovascular Medicine (54 citations) and Nephrology (17 citations). Xiaoping Jin has collaborated with scholars based in China and United States. Frequent co-authors include Xinwei He, Xiaofei Hu, Feng Wang, Min Sheng Zhu, Weiling Li, Eileen Turcott, Gregory J. Mize, Li Cai, David Morris and Guo‐Rong Chen. Their work appears in journals such as Scientific Reports, Vascular Medicine, Journal of Pharmaceutical Innovation, Cell Biology and Toxicology and Journal of the Neurological Sciences.

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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