Jin Su
Impact in
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
- Oncology top 10%
- Peptidase Inhibition and Analysis
- Cancer Cells and Metastasis
- HER2/EGFR in Cancer Research
Papers in
-
- Gut microbiota and health 8
- Angiogenesis and VEGF in Cancer 4
- Oncology 16
- Cancer Cells and Metastasis 4
- Co-authors
- Ray Wü (1 shared paper)Chunxi Li (6 shared papers)Libo Yao (12 shared papers)Xin Bu (8 shared papers)Tingting Ren (5 shared papers)Jiangtian Yu (6 shared papers)Yan Zhang (5 shared papers)Hu Zhao (8 shared papers)
- Journals
- PLoS ONE (5 papers)Microbiology Spectrum (3 papers)Expert Opinion on Drug Delivery (2 papers)Molecular and Cellular Biochemistry (2 papers)The Journal of Pathology (2 papers)
- Partner nations
- ChinaUnited StatesNorway
In The Last Decade
Jin Su
75 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 129
- Immunology and Allergy 267
- Oncology 280
- Molecular Biology 669
- Cancer Research 134
- Emergency Medical Services 57
Countries citing papers authored by Jin Su
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
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.
All Works
Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 219 | |
| 2 | 2020 | 193 | |
| 3 | 2010 | 96 | |
| 4 | 2021 | 66 | |
| 5 | 2011 | 65 | |
| 6 | 2014 | 64 | |
| 7 | 2019 | 57 | |
| 8 | 2016 | 57 | |
| 9 | 2016 | 54 | |
| 10 | 2015 | 48 | |
| 11 | 2009 | 47 | |
| 12 | 2013 | 46 | |
| 13 | 2020 | 45 | |
| 14 | 2024 | 40 | |
| 15 | 2015 | 36 | |
| 16 | 2014 | 36 | |
| 17 | 2020 | 34 | |
| 18 | 2012 | 34 | |
| 19 | 2014 | 33 | |
| 20 | 2017 | 33 |
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 1.8k 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 (267 citations), Oncology (280 citations), Molecular Biology (669 citations), Cancer Research (134 citations) and Emergency Medical Services (57 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, Expert Opinion on Drug Delivery, Molecular and Cellular Biochemistry 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.