M Bergmann

16 papers receiving 462 citations

Peers

M Bergmann
Comparison fields: 5 of 74
  • Cellular and Molecular Neuroscience 245
  • Biological Psychiatry 13
  • Molecular Biology 260
  • Toxicology 10
  • Pharmacology 34
Replace Lijuan C. Wang with:
Lijuan C. Wang United States
Ronit Shaltiel‐Karyo Israel
Sudha M. Cowsik India
Sijie Huang China
Medhane Cumbay United States
Elizabeth A. Harley United States
Daniela G. Dengler United States
Mariantonella Colucci Italy
Ryan H. Gumpper United States
Ferenc Ötvös Hungary
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Citations per field
00.5×11×
Lijuan C. Wang · 1×
Citations per year

Countries citing papers authored by M Bergmann

Since Specialization
Citations

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

Fields of papers citing papers by M Bergmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2008280
2 201038
3 201927
4 201023
5 201717
6 202416
7 201316
8 202016
9 202012
10 20257
11 20186
12 20254
13 20243
14
Autonomic nervous system activity in primary Raynaud's phenomenon:Heart rate variability, plasma catecholamines and [<sup>123</sup>I]MIBG heart scintigraphy
20222
15
Problems and preliminary results of the use of the creatine kinase test for the selection of stress-resistant breeding pigs
19901
16
SELF-MONITORING OF BLOOD GLUCOSE LEVELS IN DIABETES. PRINCIPALS AND PRACTICE
19841
17
[Developmental stages of the hyperglycemic syndrome in obob-mice].
19711
18 20260
19 20250

About M Bergmann

M Bergmann is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Surgery, having authored 19 papers that have together received 470 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (2 papers), Pharmacological Effects and Assays (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Alcohol Consumption and Health Effects (2 papers), Diabetes Management and Research (1 paper), Hormonal and reproductive studies (1 paper) and Bone and Dental Protein Studies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (245 citations), Biological Psychiatry (13 citations), Molecular Biology (260 citations), Toxicology (10 citations) and Pharmacology (34 citations). M Bergmann has collaborated with scholars based in Denmark, United States and Spain. Frequent co-authors include Amy Hauck Newman, Claus J. Løland, Jonathan A. Javitch, Thijs Beuming, Ulrik Gether, Luis Gracia, Julie Kniazeff, Lei Shi, Harel Weinstein and Anne Schmedes. Their work appears in journals such as Journal of Chromatography B, Journal of Nutrition, Diabetologia, JHEP Reports and Journal of Medicinal Chemistry.

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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