John Bothmer

22 papers receiving 509 citations

Peers

John Bothmer
Comparison fields: 5 of 62
  • Pharmacology 163
  • Anesthesiology and Pain Medicine 42
  • Biochemistry 30
  • Physiology 112
  • Cellular and Molecular Neuroscience 56
Replace Klaus Schaffler with:
Klaus Schaffler Germany
Wolfgang P. Meder Germany
Chaoli Huang China
Divya Ramesh United States
Guido van Amerongen Netherlands
Zahed Subhan United Kingdom
Gábor Tuboly Hungary
Victoria E. Mendizábal Argentina
J.C. Péchadre France
Zifeng Wu China
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Citations per year

Countries citing papers authored by John Bothmer

Since Specialization
Citations

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

Fields of papers citing papers by John Bothmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Bothmer, 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 John Bothmer Line = papers co-authored together John Bothmer 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 2004137
2 200575
3 201753
4 199846
5 201842
6 199240
7 202432
8 199422
9 199318
10 202118
11 199412
12 199411
13 19909
14 19939
15 19927
16 19926
17 19986
18 19934
19
The effect of age on phosphatidylinositol kinase, phosphatidylinositol phosphate kinase and diacylglycerol kinase activities in rat brain cortex.
19944
20 20022

About John Bothmer

John Bothmer is a scholar working on Biochemistry, Physiology, Pharmacology, Neurology and Pharmacology, having authored 22 papers that have together received 555 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Lipid metabolism and biosynthesis (5 papers), Sphingolipid Metabolism and Signaling (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Treatment of Major Depression (3 papers), Alkaloids: synthesis and pharmacology (2 papers), Neurological Disorders and Treatments (2 papers) and Neurological Disease Mechanisms and Treatments (1 paper). The work is most often cited by research in Pharmacology (163 citations), Anesthesiology and Pain Medicine (42 citations), Biochemistry (30 citations), Physiology (112 citations) and Cellular and Molecular Neuroscience (56 citations). John Bothmer has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Stuart Montgomery, A.K.T. Huusom, Marjanne Markerink‐Van Ittersum, JELLEMER JOLLES, Jelle Jolles, Marleen Wingen, Johannes Gerardus Ramaekers, Rivka Ravid, Dick Terwel and Marilyn Ann Huestis. Their work appears in journals such as Dementia and Geriatric Cognitive Disorders, European Journal of Pharmacology, Journal of Neurochemistry, Molecules 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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