Gary S. Laco

1.6k citations
34 papers · 1.3k · h-index 21

Impact in

  • Toxicology top 0.5%
    • Bioactive Compounds and Antitumor Agents
  • Virology top 5%
    • HIV Research and Treatment

Papers in

Gary S. Laco

34 papers receiving 1.3k citations

Peers

Gary S. Laco
Comparison fields: 5 of 82
  • Toxicology 213
  • Virology 203
  • Molecular Biology 856
  • Infectious Diseases 208
  • Oncology 275
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Citations per field
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Citations per year

Countries citing papers authored by Gary S. Laco

Since Specialization
Citations

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

Fields of papers citing papers by Gary S. Laco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary S. Laco. 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 Gary S. Laco. The network helps show where Gary S. Laco may publish in the future.

Co-authors

The 25 scholars most cited alongside Gary S. Laco, 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 Gary S. Laco Line = papers co-authored together Gary S. Laco links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999152
2
Differential induction of topoisomerase I-DNA cleavage complexes by the indenoisoquinoline MJ-III-65 (NSC 706744) and camptothecin: base sequence analysis and activity against camptothecin-resistant topoisomerases I.
200393
3
Characterization of a novel topoisomerase I mutation from a camptothecin-resistant human prostate cancer cell line.
200181
4 199179
5 200271
6 199367
7 199862
8 199660
9 201457
10 200248
11 199743
12
Use of camptothecin-resistant mammalian cell lines to evaluate the role of topoisomerase I in the antiproliferative activity of the indolocarbazole, NB-506, and its topoisomerase I binding site.
200142
13 200540
14 200039
15 201738
16 200234
17
ネコ免疫不全ウイルス(FIV)プロテアーゼのS3およびS3′サブサイト特異性の分析 in vitroおよびex vivoで,FIV,SIVおよびHIVに効果のある広範囲プロテアーゼ阻害剤の研究
199829
18 201628
19 199625
20 200025

About Gary S. Laco

Gary S. Laco is a scholar working on Molecular Biology, Infectious Diseases, Oncology, Virology and Toxicology, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (13 papers), HIV/AIDS drug development and treatment (11 papers), HIV Research and Treatment (8 papers), Neutropenia and Cancer Infections (8 papers), Bioactive Compounds and Antitumor Agents (7 papers), Plant Virus Research Studies (4 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers) and Biochemical and Molecular Research (3 papers). The work is most often cited by research in Toxicology (213 citations), Virology (203 citations), Molecular Biology (856 citations), Infectious Diseases (208 citations) and Oncology (275 citations). Gary S. Laco has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Yves Pommier, Philippe Pourquier, Yoshimasa Urasaki, Glenda Kohlhagen, John H. Elder, Roger N. Beachy, Jiaxi Wu, Donald M. Jerina, Jane M. Sayer and Heiko Kroth. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Biochemistry, Virology and PLoS ONE.

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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