Ping Jin
Impact in
- Genetics top 2%
- Mesenchymal stem cell research
- Immunology top 2%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
-
- RNA Interference and Gene Delivery 6
- Oncology 34
- CAR-T cell therapy research 25
- Co-authors
- David F. Stroncek (72 shared papers)Ena Wang (31 shared papers)Francesco M. Marincola (30 shared papers)Jiaqiang Ren (24 shared papers)Marianna Sabatino (18 shared papers)Gynheung An (7 shared papers)Monica C. Panelli (13 shared papers)Sara Civini (11 shared papers)
- Journals
- Journal of Translational Medicine (22 papers)Cytotherapy (9 papers)Blood (8 papers)Transfusion (4 papers)Scientific Reports (3 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Ping Jin
122 papers receiving 4.5k citations
Ping Jin's Hit Papers
Peers
Comparison fields: 5 of 133
- Genetics 512
- Immunology 977
- Cancer Research 612
- Oncology 906
- Molecular Biology 1.9k
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 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | NAFLD causes selective CD4+ T lymphocyte loss and promotes hepatocarcinogenesis Hit paper breakdown → | 2016 | 593 |
| 2 | 2011 | 207 | |
| 3 | 2007 | 180 | |
| 4 | 2017 | 166 | |
| 5 | 2010 | 159 | |
| 6 | 2009 | 152 | |
| 7 | 2016 | 126 | |
| 8 | 2010 | 117 | |
| 9 | 2010 | 109 | |
| 10 | 2013 | 106 | |
| 11 | 2013 | 105 | |
| 12 | 2011 | 102 | |
| 13 | 2006 | 93 | |
| 14 | 2003 | 92 | |
| 15 | 2012 | 88 | |
| 16 | 2007 | 87 | |
| 17 | 2009 | 84 | |
| 18 | 2019 | 77 | |
| 19 | 2010 | 74 | |
| 20 | 2016 | 71 |
About Ping Jin
Ping Jin is a scholar working on Molecular Biology, Oncology, Immunology, Genetics and Plant Science, having authored 128 papers that have together received 4.6k indexed citations. Recurring topics across this work include CAR-T cell therapy research (25 papers), Immunotherapy and Immune Responses (16 papers), Mesenchymal stem cell research (14 papers), Hematopoietic Stem Cell Transplantation (10 papers), Immune Cell Function and Interaction (10 papers), Virus-based gene therapy research (8 papers), T-cell and B-cell Immunology (7 papers) and RNA Interference and Gene Delivery (6 papers). The work is most often cited by research in Genetics (512 citations), Immunology (977 citations), Cancer Research (612 citations), Oncology (906 citations) and Molecular Biology (1.9k citations). Ping Jin has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include David F. Stroncek, Ena Wang, Francesco M. Marincola, Jiaqiang Ren, Marianna Sabatino, Gynheung An, Monica C. Panelli, Sara Civini, Jakyung Yi and Hee Joong Jeong. Their work appears in journals such as Journal of Translational Medicine, Cytotherapy, Blood, Transfusion and Scientific Reports.
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.