Christopher Böhm

2.3k citations
15 papers · 836 · h-index 12

Impact in

  • Physiology top 5%
    • Alzheimer's disease research and treatments
  • Aging top 10%

Papers in

    • Signaling Pathways in Disease 1
    • Protein Tyrosine Phosphatases 1
    • Lipid Membrane Structure and Behavior 1
    • Wnt/β-catenin signaling in development and cancer 1
    • Alzheimer's disease research and treatments 7

Christopher Böhm

14 papers receiving 829 citations

Peers

Christopher Böhm
Comparison fields: 5 of 78
  • Physiology 498
  • Aging 33
  • Cell Biology 164
  • Pharmacology 120
  • Molecular Biology 475
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Pierre Dourlen France
Veerle Baert Belgium
Tadashi Nakaya Japan
Georges Lévesque Canada
Elaine Waldron Germany
Manasi Benurwar United Kingdom
M. Catarina Silva United States
Gonzalo H. Olivares Chile
Mikiro Nawa Japan
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Citations per field
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Citations per year

Countries citing papers authored by Christopher Böhm

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Böhm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2006240
2 2014124
3 2011102
4 200664
5 201655
6 201353
7 201550
8 201435
9 200929
10 200528
11 200923
12 201121
13 20139
14 20123
15 20250

About Christopher Böhm

Christopher Böhm is a scholar working on Molecular Biology, Physiology, Cell Biology, Computational Theory and Mathematics and Genetics, having authored 15 papers that have together received 836 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Cellular transport and secretion (4 papers), Computational Drug Discovery Methods (2 papers), Signaling Pathways in Disease (1 paper), Protein Tyrosine Phosphatases (1 paper), Lipid Membrane Structure and Behavior (1 paper), Poxvirus research and outbreaks (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Physiology (498 citations), Aging (33 citations), Cell Biology (164 citations), Pharmacology (120 citations) and Molecular Biology (475 citations). Christopher Böhm has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Peter St George‐Hyslop, Gerold Schmitt‐Ulms, Fusheng Chen, Ekaterina Rogaeva, Paul E. Fraser, Raphaëlle Pardossi‐Piquard, Frédéric Checler, Wolfgang Hampe, Richard Mayeux and Yalun Zhang. Their work appears in journals such as Journal of Biological Chemistry, Human Molecular Genetics, FEBS Journal, Journal of Proteome Research and Structure.

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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