Cornelia Geers

709 citations
12 papers · 536 · h-index 9

Impact in

  • Cell Biology top 10%
    • Hemoglobin structure and function
    • Muscle metabolism and nutrition
    • Enzyme function and inhibition
    • Ion channel regulation and function

Papers in

    • Ion channel regulation and function 9
    • Enzyme function and inhibition 9
    • Hemoglobin structure and function 3
    • Muscle metabolism and nutrition 2

Cornelia Geers

12 papers receiving 523 citations

Peers

Cornelia Geers
Comparison fields: 5 of 92
  • Cell Biology 117
  • Molecular Biology 322
  • Complementary and alternative medicine 36
  • Physical and Theoretical Chemistry 39
  • Physiology 94
Replace J. F. Manery with:
J. F. Manery Canada
R.H. Bowman United States
Marjorie R. Stetten United States
Tian‐Xiao Sun United States
Shota Ikeda Japan
M. Gagelmann Germany
Frederick B. Loiselle Canada
Johannes Fels Germany
Monica Andersson Sweden
Atsushi Masuda Japan
Cornelia Geers relative to J. F. Manery Canada J. F. Manery's profile →
Citations per field
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Citations per year

Countries citing papers authored by Cornelia Geers

Since Specialization
Citations

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

Fields of papers citing papers by Cornelia Geers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Cornelia Geers, 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 Cornelia Geers Line = papers co-authored together Cornelia Geers links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2000311
2 200459
3 198538
4 199030
5 198625
6 199221
7 198812
8 198411
9 199510
10 19847
11 19916
12 19956

About Cornelia Geers

Cornelia Geers is a scholar working on Molecular Biology, Cell Biology, Cardiology and Cardiovascular Medicine, Physical and Theoretical Chemistry and Complementary and alternative medicine, having authored 12 papers that have together received 536 indexed citations. Recurring topics across this work include Ion channel regulation and function (9 papers), Enzyme function and inhibition (9 papers), Hemoglobin structure and function (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Cardiovascular and exercise physiology (2 papers), Nitric Oxide and Endothelin Effects (2 papers), Muscle metabolism and nutrition (2 papers) and Chemical Reactions and Mechanisms (2 papers). The work is most often cited by research in Cell Biology (117 citations), Molecular Biology (322 citations), Complementary and alternative medicine (36 citations), Physical and Theoretical Chemistry (39 citations) and Physiology (94 citations). Cornelia Geers has collaborated with scholars based in Germany and United States. Frequent co-authors include Gerolf Gros, Andrea Gärtner, Petra Wetzel, Anthony Wynshaw‐Boris, Nancy B. Wehr, Edward D. Crandall, Thomas A. Heming, Geumsoo Kim, Mary Ann Robinson and Jennie W. Owens. Their work appears in journals such as Journal of Applied Physiology, Life Sciences, Physiological Reviews, The Journal of Physiology and Biochemical Journal.

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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