Thomas Steinbrecher

5.2k citations
66 papers · 2.8k indexed · h-index 31

Impact in

Papers in

Thomas Steinbrecher

65 papers receiving 2.7k citations

Peers

Thomas Steinbrecher
Comparison fields: 5 of 125
  • Computational Theory and Mathematics 436
  • Physical and Theoretical Chemistry 233
  • Molecular Biology 1.7k
  • Organic Chemistry 407
  • Microbiology 87
Replace Jihyun Shim with:
Jihyun Shim United States
Xiao Zhu United States
Guoming Xiong United States
Shibasish Chowdhury India
Nathan Schmid Switzerland
E. Prabhu Raman United States
Yixiang Cao United States
Bertrand García‐Moreno E. United States
Jennifer L. Knight United States
Thomas Steinbrecher relative to Jihyun Shim United States Jihyun Shim's profile →
Citations per field
00.5×1.7×
Jihyun Shim · 1×
Citations per year

Countries citing papers authored by Thomas Steinbrecher

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Steinbrecher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201864
2 201763
3 201731
4 201684
5 201544
6 201469
7 201310
8 201243
9 201212
10 201252
11 20127
12 201214
13 201026
14 2010125
15 200758
16 200730
17 200638
18 200210
19 19949
20 199130

About Thomas Steinbrecher

Thomas Steinbrecher is a scholar working on Physical and Theoretical Chemistry, Molecular Biology, Cellular and Molecular Neuroscience, Pharmaceutical Science and Computational Theory and Mathematics, having authored 66 papers that have together received 2.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (14 papers), DNA and Nucleic Acid Chemistry (11 papers), Spectroscopy and Quantum Chemical Studies (9 papers), Photochemistry and Electron Transfer Studies (9 papers), Photoreceptor and optogenetics research (8 papers), Enzyme Structure and Function (7 papers), Computational Drug Discovery Methods (7 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Computational Theory and Mathematics (436 citations), Physical and Theoretical Chemistry (233 citations), Molecular Biology (1.7k citations), Organic Chemistry (407 citations) and Microbiology (87 citations). Thomas Steinbrecher has collaborated with scholars based in Germany, United States and Oman. Frequent co-authors include David A. Case, Andreas Labahn, David L. Mobley, Marcus Elstner, Joachim Lätzer, InSuk Joung, Thorsten Koslowski, Anne S. Ulrich, Robert Abel and Tomáš Kubař. Their work appears in journals such as The Journal of Physical Chemistry B, Journal of Chemical Theory and Computation, Physical Chemistry Chemical Physics, Journal of Chemical Information and Modeling and Journal of Computational 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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