Stephen E. de Laszlo

1.2k citations
28 papers · 786 indexed · h-index 16

Impact in

Papers in

Stephen E. de Laszlo

28 papers receiving 738 citations

Peers

Stephen E. de Laszlo
Comparison fields: 5 of 66
  • Organic Chemistry 482
  • Endocrinology, Diabetes and Metabolism 104
  • Molecular Biology 394
  • Immunology and Allergy 27
  • Biotechnology 33
Replace Allan Hallett with:
Allan Hallett United Kingdom
Peter Raddatz Germany
Jerome Cohen United States
S. KLUTCHKO United States
Kelvin Cooper United States
V. F. Pozdnev Russia
Inge Thøger Christensen Denmark
Richard M. Weier United States
Yuji Nomoto Japan
Feroze Ujjainwalla United States
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Citations per field
00.5×7.3×
Allan Hallett · 1×
Citations per year

Countries citing papers authored by Stephen E. de Laszlo

Since Specialization
Citations

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

Fields of papers citing papers by Stephen E. de Laszlo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen E. de Laszlo. 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 Stephen E. de Laszlo. The network helps show where Stephen E. de Laszlo may publish in the future.

Co-authors

The 25 scholars most cited alongside Stephen E. de Laszlo, 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 Stephen E. de Laszlo Line = papers co-authored together Stephen E. de Laszlo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999150
2 1993102
3 199971
4 198542
5 199241
6 199939
7 198639
8 200037
9 198933
10 198424
11 200223
12 199319
13 199319
14 199418
15 199715
16 198515
17 199514
18 199612
19 199012
20 199411

About Stephen E. de Laszlo

Stephen E. de Laszlo is a scholar working on Immunology and Allergy, Organic Chemistry, Biotechnology, Cancer Research and Physiology, having authored 28 papers that have together received 786 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (9 papers), Quinazolinone synthesis and applications (7 papers), Cell Adhesion Molecules Research (5 papers), Renin-Angiotensin System Studies (5 papers), Neuropeptides and Animal Physiology (4 papers), Peptidase Inhibition and Analysis (4 papers), Synthesis and Biological Activity (3 papers) and Synthesis and Biological Evaluation (3 papers). The work is most often cited by research in Organic Chemistry (482 citations), Endocrinology, Diabetes and Metabolism (104 citations), Molecular Biology (394 citations), Immunology and Allergy (27 citations) and Biotechnology (33 citations). Stephen E. de Laszlo has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Paul G. Williard, William K. Hagmann, Malcolm MacCoss, William J. Greenlee, Gregory Koch, Raymond S.L. Chang, Margaret A. Cascieri, Victor J. Lotti, Arthur A. Patchett and Steven V. Ley. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Tetrahedron Letters, The Journal of Organic Chemistry, Journal of Medicinal Chemistry and European Journal of Medicinal Chemistry.

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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