Xia Jin

490 citations
38 papers · 312 · h-index 12

Impact in

Papers in

Xia Jin

37 papers receiving 307 citations

Peers

Xia Jin
Comparison fields: 5 of 109
  • Nephrology 85
  • Pathology and Forensic Medicine 31
  • Statistics and Probability 14
  • Complementary and alternative medicine 13
  • Global and Planetary Change 31
Replace Jin Sha with:
Jin Sha United States
Constance Xhaard France
Keisuke Okamoto Japan
Ivar Werner Sweden
Asako Kobayashi Japan
Kyle Ware United States
Xiongfei Wu China
А.В. Сивков Russia
Xuehong Dong China
Cuiping Liu China
Xia Jin relative to Jin Sha United States Jin Sha's profile →
Citations per field
00.5×4.7×
Jin Sha · 1×
Citations per year

Countries citing papers authored by Xia Jin

Since Specialization
Citations

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

Fields of papers citing papers by Xia Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201429
2 202229
3 202125
4 201320
5 201319
6 201319
7 202018
8 202316
9 201415
10 200915
11 202212
12 202411
13 20247
14 20227
15 20247
16
Efficacy of hysteroscopic cold knife separation on intrauterine adhesions.
20217
17 20247
18 20236
19 20136
20 20155

About Xia Jin

Xia Jin is a scholar working on Molecular Biology, Nephrology, Plant Science, Immunology and Oncology, having authored 38 papers that have together received 312 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (6 papers), Proteins in Food Systems (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Plant Molecular Biology Research (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Legume Nitrogen Fixing Symbiosis (2 papers), Gynecological conditions and treatments (2 papers) and Protein Hydrolysis and Bioactive Peptides (2 papers). The work is most often cited by research in Nephrology (85 citations), Pathology and Forensic Medicine (31 citations), Statistics and Probability (14 citations), Complementary and alternative medicine (13 citations) and Global and Planetary Change (31 citations). Xia Jin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jianhua Mao, Aimin Liu, Haidong Fu, Lizhong Du, Huijun Shen, Qiang Shu, Chunyue Feng, Jie Mi, Yiqing Chen and Hao Wang. Their work appears in journals such as BioMed Research International, Journal of Cellular Biochemistry, FEBS Journal, World Journal of Pediatrics and American Journal of Translational Research.

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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