Jin Su

2.4k citations
81 papers · 1.7k · h-index 24

Impact in

    • Cell Adhesion Molecules Research
  • Oncology top 10%
    • Peptidase Inhibition and Analysis
    • Cancer Cells and Metastasis
    • HER2/EGFR in Cancer Research

Papers in

Jin Su

74 papers receiving 1.6k citations

Peers

Jin Su
Comparison fields: 5 of 127
  • Immunology and Allergy 256
  • Oncology 272
  • Cancer Research 129
  • Molecular Biology 622
  • Emergency Medical Services 54
Replace Eisaku Ueta with:
Eisaku Ueta Japan
Shoichi Suzuki Japan
Katherina Sewald Germany
Josiane Pierre France
Timothy D. Bigby United States
A M Waltersdorph United States
Jingming Wang China
Caterina Di Sano Italy
Marianne Gallup United States
Rama Malaviya United States
Jin Su relative to Eisaku Ueta Japan Eisaku Ueta's profile →
Citations per field
00.5×5.9×
Eisaku Ueta · 1×
Citations per year

Countries citing papers authored by Jin Su

Since Specialization
Citations

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

Fields of papers citing papers by Jin Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020190
2 2004161
3 201090
4 202166
5 201164
6 201463
7 201657
8 201955
9 201654
10 201547
11 200945
12 202045
13 201341
14 202440
15 201436
16 201535
17 202034
18 201234
19 201432
20 201532

About Jin Su

Jin Su is a scholar working on Molecular Biology, Oncology, Immunology and Allergy, Pulmonary and Respiratory Medicine and Pharmacology, having authored 81 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (15 papers), Gut microbiota and health (8 papers), Berberine and alkaloids research (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Cancer Cells and Metastasis (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Immunology and Allergy (256 citations), Oncology (272 citations), Cancer Research (129 citations), Molecular Biology (622 citations) and Emergency Medical Services (54 citations). Jin Su has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Ray Wü, Chunxi Li, Libo Yao, Xin Bu, Tingting Ren, Jiangtian Yu, Yan Zhang, Hu Zhao, Hongwei Zhou and Haiyue Liu. Their work appears in journals such as PLoS ONE, Microbiology Spectrum, Frontiers in Microbiology, Journal of Separation Science and The Journal of Pathology.

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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