Ye Jin

1.4k citations
44 papers · 1.0k · h-index 16

Impact in

Papers in

Ye Jin

41 papers receiving 1.0k citations

Peers

Ye Jin
Comparison fields: 5 of 111
  • Molecular Medicine 267
  • Clinical Biochemistry 128
  • Infectious Diseases 318
  • Endocrinology 88
  • Periodontics 52
Replace A. M. J. J. Verweij-Van Vught with:
A. M. J. J. Verweij-Van Vught Netherlands
Jui‐Fen Lai Taiwan
Kelsi Penewit United States
Ryan C. Johnson United States
Maryada Sharma India
Adam Waalkes United States
Cristina Cigana Italy
Christophe Bordi France
Francesca Fabretti Germany
Ye Jin relative to A. M. J. J. Verweij-Van Vught Netherlands A. M. J. J. Verweij-Van Vught's profile →
Citations per field
00.5×10×20×28.2×
A. M. J. J. Verweij-Van Vught · 1×
Citations per year

Countries citing papers authored by Ye Jin

Since Specialization
Citations

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

Fields of papers citing papers by Ye Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019157
2 2017145
3 2002128
4 2017121
5 201857
6 202041
7 202139
8 202138
9 202124
10 202220
11 201919
12 201818
13 202017
14 199016
15 202115
16 202115
17 201814
18 202213
19 202412
20 202012

About Ye Jin

Ye Jin is a scholar working on Infectious Diseases, Molecular Biology, Molecular Medicine, Public Health, Environmental and Occupational Health and Hematology, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (23 papers), Bacterial biofilms and quorum sensing (15 papers), Antibiotic Resistance in Bacteria (7 papers), Streptococcal Infections and Treatments (6 papers), Acute Myeloid Leukemia Research (6 papers), Antimicrobial Peptides and Activities (5 papers), Bacterial Identification and Susceptibility Testing (5 papers) and Biochemical and Structural Characterization (3 papers). The work is most often cited by research in Molecular Medicine (267 citations), Clinical Biochemistry (128 citations), Infectious Diseases (318 citations), Endocrinology (88 citations) and Periodontics (52 citations). Ye Jin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hak‐Kong Yip, Fangyou Yu, Yinjuan Guo, Jingjing Duan, Zhihao Hao, Liangxing Wang, Liang Chen, Barry N. Kreiswirth, Zi‐jun Xu and Ji‐chun Ma. Their work appears in journals such as mSystems, Emerging Microbes & Infections, Frontiers in Microbiology, Frontiers in Immunology and Frontiers in Cellular and Infection Microbiology.

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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