Li Di

181 papers receiving 8.6k citations

Li Di's Hit Papers

The expanding role of prodrugs in contemporary drug design and development 2018 · 570 citations
5700+5+10Years since publication200400600

Peers

Li Di
Comparison fields: 5 of 154
  • Pharmacology 1.6k
  • Pharmaceutical Science 627
  • Computational Theory and Mathematics 1.4k
  • Oncology 2.0k
  • Molecular Biology 3.4k
Replace Dennis A. Smith with:
Dennis A. Smith United Kingdom
Edward H. Kerns United States
Amit S. Kalgutkar United States
Duxin Sun United States
Kristina Luthman Sweden
Peter W. Swaan United States
Gerd Folkers Switzerland
Alex Avdeef United States
Su Zeng China
Manthena V. S. Varma United States
Li Di relative to Dennis A. Smith United Kingdom Dennis A. Smith's profile →
Citations per field
00.5×3.8×
Dennis A. Smith · 1×
Citations per year

Countries citing papers authored by Li Di

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Li Di Line = papers co-authored together Li Di links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 187 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The effect of plasma protein binding on in vivo efficacy: misconceptions in drug discovery
Hit paper breakdown →
2010626
2
The expanding role of prodrugs in contemporary drug design and development
Hit paper breakdown →
2018570
3
Coexistence of passive and carrier-mediated processes in drug transport
Hit paper breakdown →
2010493
4
Strategic Approaches to Optimizing Peptide ADME Properties
Hit paper breakdown →
2014485
5 2011403
6 2012207
7 2003203
8 2004200
9 2015198
10 2011189
11 2015156
12 2018153
13 2014151
14 2005139
15 2006132
16 2017130
17 2008121
18 2012121
19 2018118
20 2012117

About Li Di

Li Di is a scholar working on Pharmacology, Molecular Biology, Oncology, Computational Theory and Mathematics and Spectroscopy, having authored 187 papers that have together received 8.8k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (64 papers), Drug Transport and Resistance Mechanisms (52 papers), Computational Drug Discovery Methods (28 papers), Analytical Chemistry and Chromatography (14 papers), Myasthenia Gravis and Thymoma (11 papers), Pharmacological Effects and Toxicity Studies (11 papers), Protein Interaction Studies and Fluorescence Analysis (10 papers) and Statistical Methods in Clinical Trials (9 papers). The work is most often cited by research in Pharmacology (1.6k citations), Pharmaceutical Science (627 citations), Computational Theory and Mathematics (1.4k citations), Oncology (2.0k citations) and Molecular Biology (3.4k citations). Li Di has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Edward H. Kerns, Dennis A. Smith, Tristan S. Maurer, Nicholas A. Meanwell, Jarkko Rautio, Michael J. Hageman, Takashi Mano, Paul V. Fish, Kevin Beaumont and Bo Feng. Their work appears in journals such as Drug Metabolism and Disposition, Journal of Pharmaceutical Sciences, The AAPS Journal, Journal of Medicinal Chemistry 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.

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