Jie Ping
Impact in
- Molecular Biology top 1%
- Extracellular vesicles in disease
- Single-cell and spatial transcriptomics
- CRISPR and Genetic Engineering
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
Papers in
- Genetics 20
- Genetic Associations and Epidemiology 16
- BRCA gene mutations in cancer 3
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- MicroRNA in disease regulation 4
- Co-authors
- Robert J. Coffey (6 shared papers)Jeffrey L. Franklin (4 shared papers)Qi Liu (4 shared papers)James N. Higginbotham (3 shared papers)Dennis K. Jeppesen (2 shared papers)Qin Zhang (2 shared papers)James G. Patton (3 shared papers)Aidan M. Fenix (1 shared paper)
- Journals
- Nature Communications (5 papers)Nature Genetics (4 papers)Oncotarget (4 papers)Carcinogenesis (3 papers)Medicine (3 papers)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Jie Ping
69 papers receiving 4.6k citations
Jie Ping's Hit Papers
Peers
Comparison fields: 5 of 90
- Molecular Biology 2.6k
- Cancer Research 195
- Oncology 217
- Epidemiology 290
- Genetics 110
Countries citing papers authored by Jie Ping
This map shows the geographic impact of Jie Ping'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 Jie Ping with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Ping more than expected).
Fields of papers citing papers by Jie Ping
This network shows the impact of papers produced by Jie Ping. 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 Jie Ping. The network helps show where Jie Ping may publish in the future.
Co-authors
The 25 scholars most cited alongside Jie Ping, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Reassessment of Exosome Composition Hit paper breakdown → | 2019 | 2475 |
| 2 | 2019 | 326 | |
| 3 | 2013 | 300 | |
| 4 | 2017 | 155 | |
| 5 | 2017 | 146 | |
| 6 | 2018 | 139 | |
| 7 | 2018 | 119 | |
| 8 | 2022 | 100 | |
| 9 | 2015 | 84 | |
| 10 | 2015 | 71 | |
| 11 | 2015 | 59 | |
| 12 | 2010 | 45 | |
| 13 | 2015 | 45 | |
| 14 | 2015 | 37 | |
| 15 | 2018 | 32 | |
| 16 | 2024 | 31 | |
| 17 | 2014 | 29 | |
| 18 | 2010 | 26 | |
| 19 | 2010 | 24 | |
| 20 | 2021 | 23 |
About Jie Ping
Jie Ping is a scholar working on Genetics, Cancer Research, Molecular Biology, Oncology and Hepatology, having authored 72 papers that have together received 4.7k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (16 papers), Bioinformatics and Genomic Networks (5 papers), MicroRNA in disease regulation (4 papers), Single-cell and spatial transcriptomics (4 papers), Extracellular vesicles in disease (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Colorectal Cancer Surgical Treatments (3 papers) and BRCA gene mutations in cancer (3 papers). The work is most often cited by research in Molecular Biology (2.6k citations), Cancer Research (195 citations), Oncology (217 citations), Epidemiology (290 citations) and Genetics (110 citations). Jie Ping has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Robert J. Coffey, Jeffrey L. Franklin, Qi Liu, James N. Higginbotham, Dennis K. Jeppesen, Qin Zhang, James G. Patton, Aidan M. Fenix, Lisa J. Zimmerman and Dylan Tyler Burnette. Their work appears in journals such as Nature Communications, Nature Genetics, Oncotarget, Carcinogenesis and Medicine.
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.