Xia Jin

1.1k citations
38 papers · 555 indexed · h-index 15

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment
    • SARS-CoV-2 and COVID-19 Research

Papers in

Xia Jin

35 papers receiving 542 citations

Peers

Xia Jin
Comparison fields: 5 of 82
  • Virology 124
  • Infectious Diseases 379
  • Epidemiology 293
  • Health 52
  • Sociology and Political Science 189
Replace Jianhua Hou with:
Jianhua Hou China
Matthew L. Romo United States
Johann Kolstee Australia
Catherine Maulsby United States
Megha Mehrotra United States
Sara H Bares United States
Krystal Chi Kei Lee Hong Kong
Ramona Bhatia United States
Megan Valentine United States
Pablo K. Valente United States
Xia Jin relative to Jianhua Hou China Jianhua Hou's profile →
Citations per field
00.5×10×15×21×
Jianhua Hou · 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 202071
2 200950
3 201043
4 200842
5 201140
6 202234
7 202133
8 201927
9 201224
10 200919
11 201018
12 202018
13 201217
14 201115
15 201614
16 201013
17 20169
18 20108
19 20246
20
[Ecological risk assessment of human activity of rapid economic development regions in southern Jiangsu, China: a case study of Dantu District of Zhenjiang City].
20146

About Xia Jin

Xia Jin is a scholar working on Infectious Diseases, Epidemiology, Sociology and Political Science, Virology and Health, having authored 38 papers that have together received 555 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (18 papers), HIV, Drug Use, Sexual Risk (17 papers), Sex work and related issues (12 papers), HIV Research and Treatment (6 papers), Vaccine Coverage and Hesitancy (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Adolescent Sexual and Reproductive Health (2 papers) and HIV, TB, and STIs Epidemiology (2 papers). The work is most often cited by research in Virology (124 citations), Infectious Diseases (379 citations), Epidemiology (293 citations), Health (52 citations) and Sociology and Political Science (189 citations). Xia Jin has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Junjie Xu, M. Kumi Smith, Guowei Ding, Ning Wang, Ray Y. Chen, Yan Yao, Katherine Brown, Fan Jiang, Ke Peng and Yihong Hu. Their work appears in journals such as International Journal of STD & AIDS, Scientific Reports, JAIDS Journal of Acquired Immune Deficiency Syndromes, International Journal of Infectious Diseases and EClinicalMedicine.

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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