Eva Bartels

1.1k citations
29 papers · 1.0k · h-index 17

Impact in

Papers in

    • Photoreceptor and optogenetics research 8
    • Neurobiology and Insect Physiology Research 6
    • Neuroscience and Neuropharmacology Research 4
    • Neuroscience and Neural Engineering 4
    • Ion channel regulation and function 7
    • Receptor Mechanisms and Signaling 3

Eva Bartels

29 papers receiving 914 citations

Peers

Eva Bartels
Comparison fields: 5 of 84
  • Cellular and Molecular Neuroscience 560
  • Electrochemistry 98
  • Molecular Biology 649
  • Pharmacology 140
  • Bioengineering 45
Replace Julian M. Tobias with:
Julian M. Tobias United States
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Derek J. Cash United States
T. I. Shaw United Kingdom
Chae Hee Kang United States
David E. Goldman United States
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Citations per field
00.5×10×
Julian M. Tobias · 1×
Citations per year

Countries citing papers authored by Eva Bartels

Since Specialization
Citations

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

Fields of papers citing papers by Eva Bartels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Eva Bartels, 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 Eva Bartels Line = papers co-authored together Eva Bartels links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1966214
2 1971189
3 1963113
4 196151
5 196645
6 196740
7 196938
8 196430
9 196230
10 196528
11 197025
12 197922
13 197220
14 196319
15 197218
16 197018
17 196816
18 196014
19 196514
20 196214

About Eva Bartels

Eva Bartels is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology, Electrochemistry and Organic Chemistry, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (8 papers), Photoreceptor and optogenetics research (8 papers), Ion channel regulation and function (7 papers), Neurobiology and Insect Physiology Research (6 papers), Electrochemical Analysis and Applications (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Neuroscience and Neural Engineering (4 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (560 citations), Electrochemistry (98 citations), Molecular Biology (649 citations), Pharmacology (140 citations) and Bioengineering (45 citations). Eva Bartels has collaborated with scholars based in United States, Puerto Rico and Canada. Frequent co-authors include Arthur Karlin, Bernard F. Erlanger, N. H. Wassermann, Thomas R. Podleski, Philip Rosenberg, Henry G. Mautner, David Nachmansohn, George D. Webb, Terrone L. Rosenberry and Walter J. Deal. Their work appears in journals such as Biochemical Pharmacology, Proceedings of the National Academy of Sciences, Biochimica et Biophysica Acta (BBA) - Biomembranes, Journal of Neurochemistry and Biochemical and Biophysical Research Communications.

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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