Thomas Möhring

515 citations
9 papers · 382 · h-index 7

Impact in

    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications

Papers in

    • Machine Learning in Bioinformatics 2
    • Metabolomics and Mass Spectrometry Studies 2
    • Bioinformatics and Genomic Networks 1
    • Advanced Proteomics Techniques and Applications 5
    • Mass Spectrometry Techniques and Applications 2

Thomas Möhring

9 papers receiving 354 citations

Peers

Thomas Möhring
Comparison fields: 5 of 97
  • Spectroscopy 205
  • Microbiology 20
  • Archeology 33
  • Molecular Biology 185
  • Paleontology 18
Replace Timothy S. Collier with:
Timothy S. Collier United States
Ricardo Graña‐Montes Spain
Alexander Brzhozovskiy Russia
Matthew E. Pope Canada
Imke Schulte Germany
Marialaura Dilillo Italy
Wen-guey Wu Taiwan
Ksenia G. Kuznetsova Russia
Tatsuo Murakami Japan
Vivian Delcourt France
Thomas Möhring relative to Timothy S. Collier United States Timothy S. Collier's profile →
Citations per field
00.5×6.7×
Timothy S. Collier · 1×
Citations per year

Countries citing papers authored by Thomas Möhring

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Möhring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2005206
2 200244
3 201141
4 200529
5 200523
6 200419
7 201414
8 20054
9 20072

About Thomas Möhring

Thomas Möhring is a scholar working on Molecular Biology, Spectroscopy, Small Animals, Paleontology and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 382 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (5 papers), Machine Learning in Bioinformatics (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Blood properties and coagulation (1 paper), Archaeology and ancient environmental studies (1 paper), Animal Behavior and Welfare Studies (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Spectroscopy (205 citations), Microbiology (20 citations), Archeology (33 citations), Molecular Biology (185 citations) and Paleontology (18 citations). Thomas Möhring has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Markus Kellmann, Rüdiger Hess, Harald Tammen, Peter Schulz‐Knappe, Christoph Menzel, Imke Schulte, Jürgen Rullkötter, Arie Nissenbaum, Karl Mechtler and Johann Holzmann. Their work appears in journals such as PROTEOMICS, Combinatorial Chemistry & High Throughput Screening, Clinical Chemistry, Journal of Archaeological Science and Journal of Mass Spectrometry.

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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