C. Lerner

1.3k citations
22 papers · 1.0k indexed · h-index 18

Impact in

Papers in

C. Lerner

21 papers receiving 978 citations

Peers

C. Lerner
Comparison fields: 5 of 90
  • Organic Chemistry 431
  • Computational Theory and Mathematics 203
  • Pharmacology 209
  • Molecular Medicine 61
  • Molecular Biology 515
Replace Thomas Lampe with:
Thomas Lampe Germany
Mark McGann United States
Vladimir I. Polshakov Russia
Siegfried S. F. Leung United States
Patrizio Mattei Switzerland
Thompson N. Doman United States
Daniel Hunziker Switzerland
Hamdy M. Abdel‐Rahman Egypt
Barry S. Selinsky United States
Kenneth Borrelli United States
C. Lerner relative to Thomas Lampe Germany Thomas Lampe's profile →
Citations per field
00.5×2.7×
Thomas Lampe · 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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005248
2 2008103
3 201680
4 201967
5 200064
6 200157
7 200249
8 201649
9 200149
10 201941
11 200939
12 201131
13 200431
14 201226
15 200622
16 201621
17 200317
18 200917
19 200615
20 20004

About C. Lerner

C. Lerner is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Organic Chemistry and Physiology, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Chemical Synthesis and Analysis (6 papers), Protein Structure and Dynamics (5 papers), DNA and Nucleic Acid Chemistry (4 papers), Adenosine and Purinergic Signaling (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Microbial Natural Products and Biosynthesis (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Organic Chemistry (431 citations), Computational Theory and Mathematics (203 citations), Pharmacology (209 citations), Molecular Medicine (61 citations) and Molecular Biology (515 citations). C. Lerner has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Dionicio Siegel, Jason D. Brubaker, Mark G. Charest, Andrew G. Myers, François Diederich, Roland Jakob‐Roetne, Edilio Borroni, G. Zürcher, Völker Gramlich and M.G. Rudolph. Their work appears in journals such as Angewandte Chemie International Edition, Helvetica Chimica Acta, Journal of Medicinal Chemistry, Scientific Reports and Journal of the American Chemical Society.

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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