Xia Jin

536 citations
38 papers · 351 · h-index 12

Impact in

Papers in

    • Plant Gene Expression Analysis 2
    • Protein Hydrolysis and Bioactive Peptides 2
    • Renal Diseases and Glomerulopathies 4

Xia Jin

37 papers receiving 342 citations

Peers

Xia Jin
Comparison fields: 5 of 107
  • Nephrology 75
  • Complementary and alternative medicine 13
  • Statistics and Probability 14
  • Global and Planetary Change 32
  • Gastroenterology 7
Replace Yanli Yu with:
Yanli Yu China
Keisuke Okamoto Japan
Dongming Chen China
Jin Sha United States
Haiyan Li China
Bo Young Jeong South Korea
Asako Kobayashi Japan
Constance Xhaard France
А.В. Сивков Russia
Xia Jin relative to Yanli Yu China Yanli Yu's profile →
Citations per field
00.5×10×13×
Yanli Yu · 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 202232
2 202131
3 201431
4 201323
5 201321
6 201320
7 202019
8 202317
9 201417
10 200915
11 202214
12 202413
13 202410
14 20249
15 20248
16 20137
17 20227
18
Efficacy of hysteroscopic cold knife separation on intrauterine adhesions.
20217
19 20236
20 20236

About Xia Jin

Xia Jin is a scholar working on Molecular Biology, Nephrology, Plant Science, Immunology and Neurology, having authored 38 papers that have together received 351 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (4 papers), Proteins in Food Systems (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Plant Pathogenic Bacteria Studies (2 papers), Plant Molecular Biology Research (2 papers), Plant Gene Expression Analysis (2 papers), Quantum many-body systems (2 papers) and Protein Hydrolysis and Bioactive Peptides (2 papers). The work is most often cited by research in Nephrology (75 citations), Complementary and alternative medicine (13 citations), Statistics and Probability (14 citations), Global and Planetary Change (32 citations) and Gastroenterology (7 citations). Xia Jin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Aimin Liu, Jianhua Mao, Haidong Fu, Lizhong Du, Huijun Shen, Qiang Shu, Chunyue Feng, Jie Mi, Weizhong Gu and Xiao Dong Chen. Their work appears in journals such as BioMed Research International, Journal of Food Engineering, World Journal of Pediatrics, Medicine and Frontiers in Oncology.

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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