Ping Jin
Impact in
- Immunology top 5%
- Invertebrate Immune Response Mechanisms
- Aquaculture disease management and microbiota
- Immune Response and Inflammation
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
- Immunology 37
- Invertebrate Immune Response Mechanisms 37
- Immune Response and Inflammation 9
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- MicroRNA in disease regulation 7
- NF-κB Signaling Pathways 2
- Co-authors
- Fei Ma (35 shared papers)Liming Chen (13 shared papers)Shengjie Li (10 shared papers)Sheng Qin (6 shared papers)Ruimin Li (8 shared papers)Xiaojun Song (10 shared papers)Andrew P. McMahon (1 shared paper)Tod M. Woolf (1 shared paper)
- Journals
- Fish & Shellfish Immunology (6 papers)International Journal of Molecular Sciences (3 papers)Gene (3 papers)Genomics (3 papers)American Journal of Physiology-Cell Physiology (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ping Jin
52 papers receiving 787 citations
Peers
Comparison fields: 5 of 60
- Immunology 378
- Developmental Neuroscience 46
- Cancer Research 88
- Insect Science 53
- Aging 8
Countries citing papers authored by Ping Jin
This map shows the geographic impact of Ping 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 Ping Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Jin more than expected).
Fields of papers citing papers by Ping Jin
This network shows the impact of papers produced by Ping 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 Ping Jin. The network helps show where Ping Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Jin, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 137 | |
| 2 | 2015 | 56 | |
| 3 | 2012 | 44 | |
| 4 | 2019 | 36 | |
| 5 | 2020 | 29 | |
| 6 | 2013 | 28 | |
| 7 | 2016 | 28 | |
| 8 | 2016 | 28 | |
| 9 | 2012 | 25 | |
| 10 | 2017 | 22 | |
| 11 | 2021 | 21 | |
| 12 | 2021 | 21 | |
| 13 | 2021 | 20 | |
| 14 | 2017 | 19 | |
| 15 | 2012 | 18 | |
| 16 | 2021 | 17 | |
| 17 | 2022 | 16 | |
| 18 | 2013 | 15 | |
| 19 | 2017 | 14 | |
| 20 | 2021 | 14 |
About Ping Jin
Ping Jin is a scholar working on Immunology, Cancer Research, Molecular Biology, Infectious Diseases and Oncology, having authored 55 papers that have together received 804 indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (37 papers), Immune Response and Inflammation (9 papers), MicroRNA in disease regulation (7 papers), Developmental Biology and Gene Regulation (7 papers), Genomics and Phylogenetic Studies (4 papers), COVID-19 Clinical Research Studies (3 papers), Chromosomal and Genetic Variations (3 papers) and NF-κB Signaling Pathways (2 papers). The work is most often cited by research in Immunology (378 citations), Developmental Neuroscience (46 citations), Cancer Research (88 citations), Insect Science (53 citations) and Aging (8 citations). Ping Jin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Fei Ma, Liming Chen, Shengjie Li, Sheng Qin, Ruimin Li, Xiaojun Song, Andrew P. McMahon, Tod M. Woolf, David A. Bumcrot and Elizabeth A. Wang. Their work appears in journals such as Fish & Shellfish Immunology, International Journal of Molecular Sciences, Gene, Genomics and American Journal of Physiology-Cell Physiology.
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.