P. Jonathan Li
Impact in
- Oncology top 10%
- CAR-T cell therapy research
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- CRISPR and Genetic Engineering 3
- Single-cell and spatial transcriptomics 1
- Oncology 4
- CAR-T cell therapy research 2
- Co-authors
- Eric Shifrut (3 shared papers)Alexander Marson (3 shared papers)Theodore L. Roth (3 shared papers)Victoria Tobin (2 shared papers)Jonathan M. Woo (1 shared paper)Julia Carnevale (1 shared paper)Morgan E. Diolaiti (1 shared paper)Alan Ashworth (1 shared paper)
- Journals
- eLife (2 papers)Cell (2 papers)Liver Transplantation (2 papers)Cancers (1 paper)Journal of Hepatology (1 paper)
- Partner nations
- United States
In The Last Decade
P. Jonathan Li
10 papers receiving 826 citations
P. Jonathan Li's Hit Papers
Peers
Comparison fields: 5 of 70
- Oncology 418
- Immunology 263
- Business and International Management 19
- Hepatology 71
- Molecular Biology 507
Countries citing papers authored by P. Jonathan Li
This map shows the geographic impact of P. Jonathan Li'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 P. Jonathan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Jonathan Li more than expected).
Fields of papers citing papers by P. Jonathan Li
This network shows the impact of papers produced by P. Jonathan Li. 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 P. Jonathan Li. The network helps show where P. Jonathan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Jonathan Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Genome-wide CRISPR Screens in Primary Human T Cells Reveal Key Regulators of Immune Function Hit paper breakdown → | 2018 | 339 |
| 2 | 2019 | 194 | |
| 3 | 2020 | 130 | |
| 4 | AFP-L3 and DCP strongly predict early hepatocellular carcinoma recurrence after liver transplantation Hit paper breakdown → | 2023 | 75 |
| 5 | 2017 | 65 | |
| 6 | 2023 | 15 | |
| 7 | 2018 | 14 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 3 | |
| 10 | 2021 | 1 |
About P. Jonathan Li
P. Jonathan Li is a scholar working on Molecular Biology, Oncology, Hepatology, Surgery and Immunology, having authored 10 papers that have together received 842 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (4 papers), CRISPR and Genetic Engineering (3 papers), CAR-T cell therapy research (2 papers), T-cell and B-cell Immunology (2 papers), Immune cells in cancer (2 papers), Immune Cell Function and Interaction (2 papers), Liver Disease and Transplantation (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Oncology (418 citations), Immunology (263 citations), Business and International Management (19 citations), Hepatology (71 citations) and Molecular Biology (507 citations). P. Jonathan Li has collaborated with scholars based in United States. Frequent co-authors include Eric Shifrut, Alexander Marson, Theodore L. Roth, Victoria Tobin, Jonathan M. Woo, Julia Carnevale, Morgan E. Diolaiti, Alan Ashworth, David N. Nguyen and Jeffrey A. Bluestone. Their work appears in journals such as eLife, Cell, Liver Transplantation, Cancers and Journal of Hepatology.
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.