Michael Sabio

42 papers receiving 1.1k citations

Peers

Michael Sabio
Comparison fields: 5 of 87
  • Organic Chemistry 395
  • Physical and Theoretical Chemistry 117
  • Spectroscopy 203
  • Cellular and Molecular Neuroscience 206
  • Computational Theory and Mathematics 135
Replace Alexei Toutchkine with:
Alexei Toutchkine United States
E. Gavuzzo Italy
Daniel L. Cheney United States
Anny‐Odile Colson United States
David G. Vander Velde United States
Vijay M. Krishnamurthy United States
Alain Sillen France
Arlindo L. Castelhano United States
Torbjoern Drakenberg Sweden
Richard G. Hiskey United States
Michael Sabio relative to Alexei Toutchkine United States Alexei Toutchkine's profile →
Citations per field
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Alexei Toutchkine · 1×
Citations per year

Countries citing papers authored by Michael Sabio

Since Specialization
Citations

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

Fields of papers citing papers by Michael Sabio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990101
2 200983
3 199979
4 200868
5 198966
6 198554
7 198348
8 198248
9 200846
10 198844
11 200441
12 200340
13 200434
14 198834
15 200730
16 201129
17 198928
18 198426
19 198325
20 199021

About Michael Sabio

Michael Sabio is a scholar working on Molecular Biology, Organic Chemistry, Spectroscopy, Cellular and Molecular Neuroscience and Atomic and Molecular Physics, and Optics, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (11 papers), Molecular spectroscopy and chirality (9 papers), Advanced Chemical Physics Studies (6 papers), Neuropeptides and Animal Physiology (6 papers), Computational Drug Discovery Methods (5 papers), Chemical Reaction Mechanisms (5 papers), Analytical Chemistry and Chromatography (4 papers) and Crystallography and molecular interactions (4 papers). The work is most often cited by research in Organic Chemistry (395 citations), Physical and Theoretical Chemistry (117 citations), Spectroscopy (203 citations), Cellular and Molecular Neuroscience (206 citations) and Computational Theory and Mathematics (135 citations). Michael Sabio has collaborated with scholars based in United States, Switzerland and Denmark. Frequent co-authors include Sid Topiol, Raymond L. Disch, Jerome M. Schulman, William C. Lumma, Kenneth Jones, Paul Erhardt, Michelle A. Uberti, Kenneth W. Bair, Sompong Wattanasin and Gabriele Weitz‐Schmidt. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of the American Chemical Society, Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry and Tetrahedron Letters.

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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