Li Di
Impact in
- Pharmacology top 0.05%
- Pharmacogenetics and Drug Metabolism
- Pharmaceutical Science top 0.5%
- Drug Solubulity and Delivery Systems
Papers in
- Pharmacology 95
- Pharmacogenetics and Drug Metabolism 87
- Oncology 76
- Drug Transport and Resistance Mechanisms 69
- Co-authors
- Edward H. Kerns (66 shared papers)Dennis A. Smith (8 shared papers)Tristan S. Maurer (11 shared papers)Michael J. Hageman (1 shared paper)Nicholas A. Meanwell (1 shared paper)Jarkko Rautio (1 shared paper)Kevin C. Beaumont (6 shared papers)Takashi Mano (1 shared paper)
- Journals
- Drug Metabolism and Disposition (23 papers)Journal of Pharmaceutical Sciences (16 papers)Journal of Medicinal Chemistry (14 papers)The AAPS Journal (14 papers)Bioorganic & Medicinal Chemistry Letters (8 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Li Di
241 papers receiving 11.7k citations
Li Di's Hit Papers
Peers
Comparison fields: 5 of 158
- Pharmacology 1.9k
- Pharmaceutical Science 766
- Computational Theory and Mathematics 2.2k
- Oncology 2.5k
- Infectious Diseases 1.4k
Countries citing papers authored by Li Di
This map shows the geographic impact of Li Di'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 Li Di with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Di more than expected).
Fields of papers citing papers by Li Di
This network shows the impact of papers produced by Li Di. 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 Li Di. The network helps show where Li Di may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Di, 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 248 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An oral SARS-CoV-2 M pro inhibitor clinical candidate for the treatment of COVID-19 Hit paper breakdown → | 2021 | 1544 |
| 2 | The effect of plasma protein binding on in vivo efficacy: misconceptions in drug discovery Hit paper breakdown → | 2010 | 729 |
| 3 | The expanding role of prodrugs in contemporary drug design and development Hit paper breakdown → | 2018 | 616 |
| 4 | Coexistence of passive and carrier-mediated processes in drug transport Hit paper breakdown → | 2010 | 539 |
| 5 | Strategic Approaches to Optimizing Peptide ADME Properties Hit paper breakdown → | 2014 | 531 |
| 6 | 2011 | 429 | |
| 7 | 2011 | 269 | |
| 8 | 2015 | 247 | |
| 9 | 2012 | 243 | |
| 10 | 2003 | 229 | |
| 11 | 2004 | 225 | |
| 12 | 2018 | 168 | |
| 13 | 2014 | 162 | |
| 14 | 2015 | 161 | |
| 15 | 2005 | 157 | |
| 16 | 2017 | 153 | |
| 17 | 2006 | 145 | |
| 18 | 2011 | 137 | |
| 19 | 2008 | 135 | |
| 20 | 2018 | 135 |
About Li Di
Li Di is a scholar working on Pharmacology, Oncology, Computational Theory and Mathematics, Spectroscopy and Molecular Biology, having authored 248 papers that have together received 12.3k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (87 papers), Drug Transport and Resistance Mechanisms (69 papers), Computational Drug Discovery Methods (43 papers), Analytical Chemistry and Chromatography (25 papers), Pharmacological Effects and Toxicity Studies (16 papers), Protein Interaction Studies and Fluorescence Analysis (14 papers), Myasthenia Gravis and Thymoma (13 papers) and Statistical Methods in Clinical Trials (11 papers). The work is most often cited by research in Pharmacology (1.9k citations), Pharmaceutical Science (766 citations), Computational Theory and Mathematics (2.2k citations), Oncology (2.5k citations) and Infectious Diseases (1.4k citations). Li Di has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Edward H. Kerns, Dennis A. Smith, Tristan S. Maurer, Michael J. Hageman, Nicholas A. Meanwell, Jarkko Rautio, Kevin C. Beaumont, Takashi Mano, Paul V. Fish and Bo Feng. Their work appears in journals such as Drug Metabolism and Disposition, Journal of Pharmaceutical Sciences, Journal of Medicinal Chemistry, The AAPS Journal and Bioorganic & Medicinal Chemistry Letters.
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.