Li Di

3.1k total citations · 2 hit papers
18 papers, 2.0k citations indexed

About

Li Di is a scholar working on Computational Theory and Mathematics, Spectroscopy and Molecular Biology. According to data from OpenAlex, Li Di has authored 18 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Theory and Mathematics, 6 papers in Spectroscopy and 4 papers in Molecular Biology. Recurrent topics in Li Di's work include Analytical Chemistry and Chromatography (6 papers), Computational Drug Discovery Methods (6 papers) and Pharmacogenetics and Drug Metabolism (3 papers). Li Di is often cited by papers focused on Analytical Chemistry and Chromatography (6 papers), Computational Drug Discovery Methods (6 papers) and Pharmacogenetics and Drug Metabolism (3 papers). Li Di collaborates with scholars based in United States, Canada and China. Li Di's co-authors include Edward H. Kerns, Guy T. Carter, Oliver J. McConnell, Kristi Fan, Susan Petusky, Xuewen Ma, Youping Huang, Donna M. Huryn, Cynthia Hess Kenny and Scott C. Mayer and has published in prestigious journals such as European Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry and Current Pharmaceutical Design.

In The Last Decade

Li Di

18 papers receiving 2.0k citations

Hit Papers

High throughput artificial membrane permeability assay fo... 2003 2026 2010 2018 2003 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Di United States 13 767 613 533 490 277 18 2.0k
Katarina Nikolić Serbia 23 989 1.3× 651 1.1× 819 1.5× 689 1.4× 179 0.6× 133 2.4k
Anabella Villalobos United States 17 1.1k 1.5× 542 0.9× 627 1.2× 616 1.3× 224 0.8× 25 2.3k
Saverio Cellamare Italy 29 646 0.8× 515 0.8× 369 0.7× 747 1.5× 181 0.7× 90 2.1k
Maija Lahtela‐Kakkonen Finland 30 1.1k 1.4× 267 0.4× 318 0.6× 424 0.9× 322 1.2× 76 2.7k
Kristi Fan United States 13 817 1.1× 735 1.2× 768 1.4× 377 0.8× 213 0.8× 22 1.9k
Sushant K. Shrivastava India 31 737 1.0× 1.0k 1.7× 796 1.5× 1.0k 2.1× 215 0.8× 110 2.8k
Patrick Dallemagne France 28 996 1.3× 665 1.1× 596 1.1× 1.5k 3.0× 153 0.6× 147 3.0k
Michael S. Malamas United States 27 1.5k 1.9× 610 1.0× 461 0.9× 1.2k 2.4× 295 1.1× 71 3.3k
Cosimo Altomare Italy 31 972 1.3× 1.2k 1.9× 746 1.4× 1.6k 3.3× 171 0.6× 162 3.7k
Renren Bai China 28 929 1.2× 411 0.7× 301 0.6× 755 1.5× 209 0.8× 94 2.6k

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-authorship network of co-authors of Li Di

This figure shows the co-authorship network connecting the top 25 collaborators of Li Di. A scholar is included among the top collaborators of Li Di 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 Li Di. Li Di is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Wang, Rui, Li Di, Ligang Liu, & Ling Xu. (2017). An Inference Method for Personalized Automotive Service Based on Rough Set and Evidential Reasoning. Journal of Engineering Science and Technology Review. 10(4). 37–44. 1 indexed citations
2.
Wang, Hong, et al.. (2016). Study on the extraction technology of polysaccharide in water chestnut peel by cellulase. Science and Technology of Food Industry. 1 indexed citations
3.
Kerns, Edward H. & Li Di. (2016). Drug-Like Properties: Concepts, Structure Design and Methods from ADME to Toxicity Optimization. Medical Entomology and Zoology. 370 indexed citations breakdown →
4.
Tu, Meihua, Alan M. Mathiowetz, Jeffrey A. Pfefferkorn, et al.. (2013). Medicinal Chemistry Design Principles for Liver Targeting Through OATP Transporters. Current Topics in Medicinal Chemistry. 13(7). 857–866. 38 indexed citations
5.
Di, Li, Edward H. Kerns, & Guy T. Carter. (2009). Drug-Like Property Concepts in Pharmaceutical Design. Current Pharmaceutical Design. 15(19). 2184–2194. 249 indexed citations
6.
Di, Li, Edward H. Kerns, Xuewen Ma, Youping Huang, & Guy T. Carter. (2008). Applications of High Throughput Microsomal Stability Assay in Drug Discovery. Combinatorial Chemistry & High Throughput Screening. 11(6). 469–476. 49 indexed citations
7.
Mayer, Scott C., Frank Boschelli, Li Di, et al.. (2008). Lead identification to generate isoquinolinedione inhibitors of insulin-like growth factor receptor (IGF-1R) for potential use in cancer treatment. Bioorganic & Medicinal Chemistry Letters. 18(12). 3641–3645. 60 indexed citations
8.
Kerns, Edward H., Li Di, & Guy T. Carter. (2008). In Vitro Solubility Assays in Drug Discovery. Current Drug Metabolism. 9(9). 879–885. 85 indexed citations
9.
Mayer, Scott C., Dan M. Berger, Diane H. Boschelli, et al.. (2008). Lead identification to generate 3-cyanoquinoline inhibitors of insulin-like growth factor receptor (IGF-1R) for potential use in cancer treatment. Bioorganic & Medicinal Chemistry Letters. 19(1). 62–66. 34 indexed citations
10.
Yu, Kate, Li Di, Edward H. Kerns, et al.. (2007). Ultra‐performance liquid chromatography/tandem mass spectrometric quantification of structurally diverse drug mixtures using an ESI‐APCI multimode ionization source. Rapid Communications in Mass Spectrometry. 21(6). 893–902. 28 indexed citations
11.
Petucci, Chris, Li Di, & Oliver J. McConnell. (2007). Rapid screening of enzymes for the enzymatic hydrolysis of chiral esters in drug discovery. Chirality. 19(9). 701–705. 4 indexed citations
12.
Kerns, Edward H. & Li Di. (2006). Utility of Mass Spectrometry for Pharmaceutical Profiling Applications. Current Drug Metabolism. 7(5). 457–466. 23 indexed citations
13.
Wrobel, Jay, James W. Jetter, John F. Rogers, et al.. (2006). 5-Alkylated thiazolidinones as follicle-stimulating hormone (FSH) receptor agonists. Bioorganic & Medicinal Chemistry. 14(16). 5729–5741. 49 indexed citations
14.
Di, Li. (2005). Preliminary Study on Process for Extraction of Cortex Magnoliae Officinalis by Orthogonal Experiments. Tianjin Journal of Traditional Chinese Medicine. 1 indexed citations
15.
Di, Li & Edward H. Kerns. (2005). Application of pharmaceutical profiling assays for optimization of drug-like properties.. PubMed. 8(4). 495–504. 45 indexed citations
16.
Di, Li, Oliver J. McConnell, Edward H. Kerns, & Alan G. Sutherland. (2004). Rapid, automated screening method for enzymatic transformations using a robotic system and supercritical fluid chromatography. Journal of Chromatography B. 809(2). 231–235. 5 indexed citations
17.
Di, Li, Edward H. Kerns, Kristi Fan, Oliver J. McConnell, & Guy T. Carter. (2003). High throughput artificial membrane permeability assay for blood–brain barrier. European Journal of Medicinal Chemistry. 38(3). 223–232. 932 indexed citations breakdown →
18.
Kerns, Edward H., et al.. (2003). Pharmaceutical profiling method for lipophilicity and integrity using liquid chromatography–mass spectrometry. Journal of Chromatography B. 791(1-2). 381–388. 53 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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