Ann E. Remmers

1.5k citations
34 papers · 1.3k · h-index 21

Impact in

Papers in

    • Neuropeptides and Animal Physiology 9
    • Neuroscience and Neuropharmacology Research 7
    • Receptor Mechanisms and Signaling 14
    • Protein Kinase Regulation and GTPase Signaling 8
    • Lipid Membrane Structure and Behavior 2
    • Pharmacological Receptor Mechanisms and Effects 2

Ann E. Remmers

32 papers receiving 1.2k citations

Peers

Ann E. Remmers
Comparison fields: 5 of 100
  • Cellular and Molecular Neuroscience 369
  • Rheumatology 171
  • Molecular Biology 727
  • Genetics 96
  • Surgery 198
Replace Priya Sethu Chockalingam with:
Priya Sethu Chockalingam United States
T. Sunyer United States
Jong Seo Lee South Korea
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Monica Parodi Italy
Astrid Slany Austria
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Whasil Lee United States
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Citations per field
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Citations per year

Countries citing papers authored by Ann E. Remmers

Since Specialization
Citations

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

Fields of papers citing papers by Ann E. Remmers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann E. Remmers. 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 Ann E. Remmers. The network helps show where Ann E. Remmers may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005176
2 2016139
3 199494
4 199782
5 199973
6 199870
7 201464
8 199461
9 199752
10 199938
11 202035
12 199632
13 200231
14 200029
15 200728
16 201827
17 200726
18 199925
19 199823
20 199022

About Ann E. Remmers

Ann E. Remmers is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Rheumatology, Pharmacology and Clinical Biochemistry, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (14 papers), Neuropeptides and Animal Physiology (9 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Lipid Membrane Structure and Behavior (2 papers) and Pharmacological Receptor Mechanisms and Effects (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (369 citations), Rheumatology (171 citations), Molecular Biology (727 citations), Genetics (96 citations) and Surgery (198 citations). Ann E. Remmers has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Richard R. Neubig, Fedor Medzihradsky, Mary Jo Clark, David P. Recker, Jeffrey L. Evelhoch, H. Cecil Charles, Felix Eckstein, Robert J. Buck, Martin I Hudelmaier and Virginia Byers Kraus. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Biochemistry, Journal of Biological Chemistry, British Journal of Clinical Pharmacology and Proceedings of the National Academy of Sciences.

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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