Lawrence L. Gan

1.3k total citations
6 papers, 110 citations indexed

About

Lawrence L. Gan is a scholar working on Pharmacology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Lawrence L. Gan has authored 6 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pharmacology, 3 papers in Oncology and 2 papers in Computational Theory and Mathematics. Recurrent topics in Lawrence L. Gan's work include Pharmacogenetics and Drug Metabolism (4 papers), Drug Transport and Resistance Mechanisms (3 papers) and Biosimilars and Bioanalytical Methods (2 papers). Lawrence L. Gan is often cited by papers focused on Pharmacogenetics and Drug Metabolism (4 papers), Drug Transport and Resistance Mechanisms (3 papers) and Biosimilars and Bioanalytical Methods (2 papers). Lawrence L. Gan collaborates with scholars based in United States and Taiwan. Lawrence L. Gan's co-authors include Abdul Naveed Shaik, Tonika Bohnert, David A. Williams, Barbara W. LeDuc, Ellen Rohde, Joel T. Mague, William L. Alworth, Maryam Foroozesh, Nancy Eddy Hopkins and Lewis J. Klunk and has published in prestigious journals such as Methods in enzymology on CD-ROM/Methods in enzymology, Journal of Pharmaceutical Sciences and Journal of Chromatography B.

In The Last Decade

Lawrence L. Gan

6 papers receiving 105 citations

Peers

Lawrence L. Gan
Comparison fields: 5 of 58
  • Pharmacology 33
  • Molecular Biology 29
  • Pharmacology 15
  • Oncology 15
  • Organic Chemistry 14
Replace Claudio De Nardi with:
Claudio De Nardi Italy
A. Barrish United States
César Ramírez-Molina United Kingdom
Anne Rose United States
Darshana Patel India
Maureen J. Rawson Canada
Yuko Ogasawara Japan
Carrie M. Mosher United States
Tapon Roy United States
Graham C. Bloomfield Switzerland
Claudio De Nardi Italy View profile →
Citations per field, relative to Lawrence L. Gan
Lawrence L. Gan · 1×
Citations per year, relative to Lawrence L. Gan
Lawrence L. Gan · 1×

Countries citing papers authored by Lawrence L. Gan

Since Specialization
Citations

This map shows the geographic impact of Lawrence L. Gan'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 Lawrence L. Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence L. Gan more than expected).

Fields of papers citing papers by Lawrence L. Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lawrence L. Gan. 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 Lawrence L. Gan. The network helps show where Lawrence L. Gan may publish in the future.

Co-authorship network of co-authors of Lawrence L. Gan

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

All Works

6 of 6 papers shown
# Work Indexed citations
1 34
2 28
3 12
4 17
5 10
6 9

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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2026