P. Jonathan Li

2.2k total citations · 2 hit papers
10 papers, 842 citations indexed

About

P. Jonathan Li is a scholar working on Molecular Biology, Oncology and Hepatology. According to data from OpenAlex, P. Jonathan Li has authored 10 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Hepatology. Recurrent topics in P. Jonathan Li's work include Hepatocellular Carcinoma Treatment and Prognosis (4 papers), CRISPR and Genetic Engineering (3 papers) and Liver Disease and Transplantation (2 papers). P. Jonathan Li is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (4 papers), CRISPR and Genetic Engineering (3 papers) and Liver Disease and Transplantation (2 papers). P. Jonathan Li collaborates with scholars based in United States. P. Jonathan Li's co-authors include Alexander Marson, Theodore L. Roth, Eric Shifrut, Victoria Tobin, Morgan E. Diolaiti, Julia Carnevale, Jonathan M. Woo, Alan Ashworth, Jeffrey A. Bluestone and David N. Nguyen and has published in prestigious journals such as Cell, Nature Biotechnology and Journal of Hepatology.

In The Last Decade

P. Jonathan Li

10 papers receiving 826 citations

Hit Papers

Genome-wide CRISPR Screens in Primary Human T Cells Revea... 2018 2026 2020 2023 2018 2023 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
P. Jonathan Li United States 7 507 418 263 158 93 10 842
Huajun Jin China 15 321 0.6× 414 1.0× 238 0.9× 171 1.1× 34 0.4× 27 731
Jessica Fioravanti Spain 15 209 0.4× 400 1.0× 559 2.1× 120 0.8× 197 2.1× 22 998
Zhenqing Feng China 14 261 0.5× 368 0.9× 204 0.8× 84 0.5× 26 0.3× 26 674
Patricia Roxburgh United Kingdom 14 296 0.6× 491 1.2× 123 0.5× 191 1.2× 38 0.4× 50 754
Andressa Ardiani United States 16 269 0.5× 447 1.1× 316 1.2× 148 0.9× 45 0.5× 19 819
Qiuyu Zhuang China 12 454 0.9× 150 0.4× 343 1.3× 41 0.3× 208 2.2× 21 828
Daniel Hollyman United Kingdom 6 171 0.3× 321 0.8× 146 0.6× 161 1.0× 84 0.9× 10 499
Jan Martínek United States 7 244 0.5× 397 0.9× 492 1.9× 117 0.7× 48 0.5× 14 924
Linjie Guo United States 13 348 0.7× 930 2.2× 749 2.8× 248 1.6× 42 0.5× 24 1.4k
Hsiao‐Wei Tsao United States 7 249 0.5× 429 1.0× 626 2.4× 62 0.4× 53 0.6× 7 843

Countries citing papers authored by P. Jonathan Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of P. Jonathan Li

This figure shows the co-authorship network connecting the top 25 collaborators of P. Jonathan Li. A scholar is included among the top collaborators of P. Jonathan Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with P. Jonathan Li. P. Jonathan Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Li, P. Jonathan, Sachin Shah, & Neil Mehta. (2024). Recent Advances in Liver Transplantation for Hepatocellular Carcinoma. Current Treatment Options in Oncology. 25(9). 1153–1162. 3 indexed citations
2.
Li, P. Jonathan, et al.. (2024). Enhancing the prognostic accuracy of the RETREAT score with AFP-L3 and DCP tumor markers. Liver Transplantation. 31(6). 727–736. 6 indexed citations
3.
Li, P. Jonathan, et al.. (2023). AFP-L3 and DCP strongly predict early hepatocellular carcinoma recurrence after liver transplantation. Journal of Hepatology. 79(6). 1469–1477. 75 indexed citations breakdown →
4.
Mehta, Neil, Prashant Kotwani, P. Jonathan Li, et al.. (2023). AFP-L3 and DCP are superior to AFP in predicting waitlist dropout in HCC patients: Results of a prospective study. Liver Transplantation. 29(10). 1041–1049. 15 indexed citations
5.
Li, P. Jonathan, Jeroen P. Roose, David M. Jablons, & Johannes R. Kratz. (2021). Bioinformatic Approaches to Validation and Functional Analysis of 3D Lung Cancer Models. Cancers. 13(4). 701–701. 1 indexed citations
6.
Roth, Theodore L., P. Jonathan Li, Franziska Blaeschke, et al.. (2020). Pooled Knockin Targeting for Genome Engineering of Cellular Immunotherapies. Cell. 181(3). 728–744.e21. 130 indexed citations
7.
Nguyen, David N., Theodore L. Roth, P. Jonathan Li, et al.. (2019). Polymer-stabilized Cas9 nanoparticles and modified repair templates increase genome editing efficiency. Nature Biotechnology. 38(1). 44–49. 194 indexed citations
8.
Shifrut, Eric, Julia Carnevale, Victoria Tobin, et al.. (2018). Genome-wide CRISPR Screens in Primary Human T Cells Reveal Key Regulators of Immune Function. Cell. 175(7). 1958–1971.e15. 339 indexed citations breakdown →
9.
Thompson, Thornton W., Benjamin T. Jackson, P. Jonathan Li, et al.. (2018). Tumor-derived CSF-1 induces the NKG2D ligand RAE-1δ on tumor-infiltrating macrophages. eLife. 7. 14 indexed citations
10.
Thompson, Thornton W., P. Jonathan Li, Jiaxi Wang, et al.. (2017). Endothelial cells express NKG2D ligands and desensitize antitumor NK responses. eLife. 6. 65 indexed citations

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.

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