Yu Jin

3.7k citations
121 papers · 2.9k · 1 hit paper · h-index 32

Impact in

Papers in

Yu Jin

117 papers receiving 2.9k citations

Hit Papers

Gut microbiota–derived short‐chain fatty acids regulate group 3 innate lymphoid cells in HCC 2022 · 131 citations
1310+1+2Years since publication4080120

Peers

Yu Jin
Comparison fields: 5 of 134
  • Infectious Diseases 749
  • Cardiology and Cardiovascular Medicine 644
  • Immunology 455
  • Animal Science and Zoology 213
  • Epidemiology 680
Replace Xuemei Li with:
Xuemei Li China
Xiangdong Li China
Miao Wang China
Jianping Li China
Yasukiyo Mori Japan
Gerald D. Abrams United States
Alicia K. Olivier United States
Ji‐Won Yoon Canada
Yutaka Yoshida Japan
Noriyuki Kasai Japan
Yu Jin relative to Xuemei Li China Xuemei Li's profile →
Citations per field
00.5×1.7×
Xuemei Li · 1×
Citations per year

Countries citing papers authored by Yu Jin

Since Specialization
Citations

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

Fields of papers citing papers by Yu Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011167
2
Gut microbiota–derived short‐chain fatty acids regulate group 3 innate lymphoid cells in HCC
Hit paper breakdown →
2022131
3 2013113
4 2017106
5 2015102
6 2010101
7 200876
8 202275
9 201473
10 201273
11 200670
12 201561
13
Geochronology and geochemistry of the Qinling Group in the eastern Qinling Orogen.
200960
14 200954
15 200953
16 200951
17 201751
18 201050
19 201347
20 201246

About Yu Jin

Yu Jin is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Cardiology and Cardiovascular Medicine and Immunology, having authored 121 papers that have together received 2.9k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (26 papers), Viral gastroenteritis research and epidemiology (24 papers), Respiratory viral infections research (14 papers), RNA regulation and disease (7 papers), Immune Cell Function and Interaction (6 papers), Animal Virus Infections Studies (5 papers), Whipple's Disease and Interleukins (5 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Infectious Diseases (749 citations), Cardiology and Cardiovascular Medicine (644 citations), Immunology (455 citations), Animal Science and Zoology (213 citations) and Epidemiology (680 citations). Yu Jin has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Mark S. Kindy, Zhaojun Duan, Xin‐hui Yuan, Zheng Xing, Zhiwei Wu, Han‐Chun Gao, Sebastiano Gattoni‐Celli, Salim S. El‐Amouri, Thomas J. McCarthy and Jackson Streeter. Their work appears in journals such as PLoS ONE, BMC Infectious Diseases, Antiviral Research, BMC Pediatrics and Virus 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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