Michael‐Robin Witt

1.1k citations
22 papers · 881 · h-index 13

Impact in

Papers in

    • Neuroscience and Neuropharmacology Research 16
    • Receptor Mechanisms and Signaling 4
    • Lipid Membrane Structure and Behavior 3
    • Ion channel regulation and function 3
    • Nicotinic Acetylcholine Receptors Study 3
    • Natural product bioactivities and synthesis 2

Michael‐Robin Witt

22 papers receiving 856 citations

Peers

Michael‐Robin Witt
Comparison fields: 5 of 88
  • Cellular and Molecular Neuroscience 234
  • Complementary and alternative medicine 65
  • Oncology 203
  • Behavioral Neuroscience 24
  • Rehabilitation 41
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Shuang Qiu China
Emile Andriambeloson France
Saki Nakamura Japan
Helena Cimarosti Brazil
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Itschak Lamensdorf Israel
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Hsueh‐Meei Huang United States
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Citations per year

Countries citing papers authored by Michael‐Robin Witt

Since Specialization
Citations

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

Fields of papers citing papers by Michael‐Robin Witt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael‐Robin Witt. 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 Michael‐Robin Witt. The network helps show where Michael‐Robin Witt may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013299
2 1999123
3 199464
4 200557
5 199954
6 199849
7 199740
8 199736
9 198824
10 199624
11 199222
12 199519
13 199714
14 199711
15 199910
16 19959
17 19979
18 20137
19 20006
20 19972

About Michael‐Robin Witt

Michael‐Robin Witt is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology, Endocrinology, Diabetes and Metabolism and Organic Chemistry, having authored 22 papers that have together received 881 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (16 papers), Receptor Mechanisms and Signaling (4 papers), Lipid Membrane Structure and Behavior (3 papers), Ion channel regulation and function (3 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Alkaloids: synthesis and pharmacology (3 papers), Natural product bioactivities and synthesis (2 papers) and Hormonal Regulation and Hypertension (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (234 citations), Complementary and alternative medicine (65 citations), Oncology (203 citations), Behavioral Neuroscience (24 citations) and Rehabilitation (41 citations). Michael‐Robin Witt has collaborated with scholars based in Denmark, Sweden and Japan. Frequent co-authors include Mogens Brøndsted Nielsen, Kim Dekermendjian, Olov Sterner, Stefan Rehnmark, Johannes Eimer, Rainer Heuchel, Matthias Löhr, Xiaohui Jia, Caroline S. Verbeke and Rune Toftgård. Their work appears in journals such as European Journal of Pharmacology, Pharmacology, Neurochemical Research, Brain Research and BMC Cancer.

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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