C. Lerner

1.3k citations
21 papers · 1.1k · h-index 17

Impact in

Papers in

C. Lerner

20 papers receiving 995 citations

Peers

C. Lerner
Comparison fields: 5 of 77
  • Pharmacology 239
  • Computational Theory and Mathematics 256
  • Organic Chemistry 429
  • Molecular Medicine 55
  • Physical and Theoretical Chemistry 62
Replace Patrizio Mattei with:
Patrizio Mattei Switzerland
Kathleen A. Farley United States
Thomas F. J. Lampe Germany
J. V. N. Vara Prasad United States
Marshall Morningstar United States
Angelo Spinello Italy
Mikhail Fedorovich Gordeev Russia
Martin Pettersson United States
Christian Scheurer Switzerland
Suvit Thaisrivongs United States
C. Lerner relative to Patrizio Mattei Switzerland Patrizio Mattei's profile →
Citations per field
00.5×2×3×3.9×
Patrizio Mattei · 1×
Citations per year

Countries citing papers authored by C. Lerner

Since Specialization
Citations

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

Fields of papers citing papers by C. Lerner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Lerner. 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 C. Lerner. The network helps show where C. Lerner may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005265
2 2008114
3 201697
4 201986
5 200066
6 200160
7 200956
8 201955
9 200253
10 201650
11 200149
12 201134
13 200432
14 201226
15 200624
16 201622
17 200317
18 200615
19 20004
20 20243

About C. Lerner

C. Lerner is a scholar working on Pharmacology, Computational Theory and Mathematics, Molecular Biology, Organic Chemistry and Inorganic Chemistry, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Enzyme function and inhibition (11 papers), Computational Drug Discovery Methods (7 papers), Enzyme Structure and Function (5 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Metal-Catalyzed Oxygenation Mechanisms (4 papers), Carbohydrate Chemistry and Synthesis (3 papers), Microbial Natural Products and Biosynthesis (2 papers) and Organic Chemistry Synthesis Methods (2 papers). The work is most often cited by research in Pharmacology (239 citations), Computational Theory and Mathematics (256 citations), Organic Chemistry (429 citations), Molecular Medicine (55 citations) and Physical and Theoretical Chemistry (62 citations). C. Lerner has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Andrew G. Myers, Dionicio R. Siegel, Jason D. Brubaker, Mark G. Charest, François Diederich, Roland Jakob‐Roetne, Edilio Borroni, Gerhard Zürcher, V. Gramlich and Markus Georg Rudolph. Their work appears in journals such as Helvetica Chimica Acta, Journal of Medicinal Chemistry, Angewandte Chemie International Edition, ChemBioChem and Science.

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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