Martin Bohl

532 citations
31 papers · 369 · h-index 10

Impact in

Papers in

    • Steroid Chemistry and Biochemistry 7
    • DNA and Nucleic Acid Chemistry 4
    • Lipid Membrane Structure and Behavior 4
    • Estrogen and related hormone effects 13

Martin Bohl

30 papers receiving 355 citations

Peers

Martin Bohl
Comparison fields: 5 of 71
  • Spectroscopy 66
  • Computational Theory and Mathematics 58
  • Organic Chemistry 102
  • Molecular Biology 216
  • Physical and Theoretical Chemistry 29
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Mark Lipton Canada
Patrick Brunelle Canada
Tommi Hassinen Finland
Renatus Sikorski Austria
Jason P. Schwans United States
Alex De Groot Belgium
G.I. Bachmanova Russia
Jorge Alí‐Torres Colombia
Daniel P. Dolata United States
Catharine R. Jones United Kingdom
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Citations per year

Countries citing papers authored by Martin Bohl

Since Specialization
Citations

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

Fields of papers citing papers by Martin Bohl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199150
2 199739
3 200437
4 200435
5 200532
6 200325
7 198421
8 199020
9 200217
10 198511
11 20029
12 19928
13 20068
14 19878
15 19837
16 19876
17 19846
18 19895
19 20184
20 19893

About Martin Bohl

Martin Bohl is a scholar working on Molecular Biology, Genetics, Organic Chemistry, Materials Chemistry and Computational Theory and Mathematics, having authored 31 papers that have together received 369 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (13 papers), Steroid Chemistry and Biochemistry (7 papers), Computational Drug Discovery Methods (5 papers), DNA and Nucleic Acid Chemistry (4 papers), Lipid Membrane Structure and Behavior (4 papers), Free Radicals and Antioxidants (3 papers), Nonlinear Optical Materials Research (3 papers) and Molecular Sensors and Ion Detection (2 papers). The work is most often cited by research in Spectroscopy (66 citations), Computational Theory and Mathematics (58 citations), Organic Chemistry (102 citations), Molecular Biology (216 citations) and Physical and Theoretical Chemistry (29 citations). Martin Bohl has collaborated with scholars based in Germany, Czechia and Romania. Frequent co-authors include Walter Pohle, H Böhlig, Dorit R. Gauger, Pavel Hobza, Carsten Selle, H. Fritzsche, Helmar Görls, Zeno Simon, Bruno Schönecker and Wolfgang Günther. Their work appears in journals such as Biopolymers, Biophysical Chemistry, The Journal of Physical Chemistry B, Surface Science and Journal of Peptide 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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