S. Bergmann

845 total citations
36 papers, 622 citations indexed

About

S. Bergmann is a scholar working on Neurology, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, S. Bergmann has authored 36 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 7 papers in Epidemiology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in S. Bergmann's work include Parkinson's Disease Mechanisms and Treatments (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Botulinum Toxin and Related Neurological Disorders (3 papers). S. Bergmann is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Botulinum Toxin and Related Neurological Disorders (3 papers). S. Bergmann collaborates with scholars based in Germany, United Kingdom and United States. S. Bergmann's co-authors include W Jaroß, M Hanefeld, R. Siekmeier, R B Godwin-Austen, Theodora Temelkova‐Kurktschiev, Carsta Koehler, Elena Henkel, J. D. Parkes, Steffi Kopprasch and B. Schulte‐Hubbert and has published in prestigious journals such as The Lancet, European Heart Journal and Clinica Chimica Acta.

In The Last Decade

S. Bergmann

33 papers receiving 590 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. Bergmann Germany 13 169 139 128 88 87 36 622
Nivaldo Ribeiro Villela Brazil 16 163 1.0× 169 1.2× 116 0.9× 108 1.2× 123 1.4× 43 688
Marianna Conte Italy 7 171 1.0× 142 1.0× 45 0.4× 116 1.3× 82 0.9× 7 645
Jelena P. Seferović Serbia 12 327 1.9× 64 0.5× 228 1.8× 86 1.0× 99 1.1× 26 672
Carlin Chang Hong Kong 13 85 0.5× 96 0.7× 144 1.1× 76 0.9× 76 0.9× 27 469
L. Bordier France 12 84 0.5× 84 0.6× 265 2.1× 107 1.2× 104 1.2× 95 666
Carmelo Buttà Italy 13 286 1.7× 157 1.1× 44 0.3× 75 0.9× 73 0.8× 30 662
Wojciech Turaj Poland 18 119 0.7× 298 2.1× 98 0.8× 97 1.1× 49 0.6× 47 851
Claudia Francesconi Austria 14 287 1.7× 124 0.9× 173 1.4× 82 0.9× 70 0.8× 29 886
Changfeng Man China 15 100 0.6× 115 0.8× 53 0.4× 195 2.2× 96 1.1× 45 801
Antoine Caillon Canada 14 226 1.3× 80 0.6× 139 1.1× 153 1.7× 70 0.8× 24 867

Countries citing papers authored by S. Bergmann

Since Specialization
Citations

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

Fields of papers citing papers by S. Bergmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Bergmann

This figure shows the co-authorship network connecting the top 25 collaborators of S. Bergmann. A scholar is included among the top collaborators of S. Bergmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. Bergmann. S. Bergmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Graessler, J., Klaus‐Martin Schulte, S. Bergmann, et al.. (2017). Urinary Lipidomics: evidence for multiple sources and sexual dimorphism in healthy individuals. The Pharmacogenomics Journal. 18(2). 331–339. 11 indexed citations
3.
Erhard, Michael, et al.. (2015). Betrachtungen und Empfehlungen zur artgemäßen und tierschutzgerechten Haltung von Straußenvögeln in Deutschland. Tierärztliche Praxis Ausgabe G Großtiere / Nutztiere. 43(4). 232–244. 3 indexed citations
4.
Gräßler, J, Steffi Kopprasch, Jens Passauer, et al.. (2013). Differential effects of lipoprotein apheresis by lipidfiltration or dextran sulfate adsorption on lipidomic profile. Atherosclerosis Supplements. 14(1). 151–155. 12 indexed citations
5.
Kolditz, Martin, Michael Halank, B. Schulte‐Hubbert, et al.. (2012). Copeptin predicts clinical deterioration and persistent instability in community-acquired pneumonia. Respiratory Medicine. 106(9). 1320–1328. 45 indexed citations
6.
Hanefeld, M, et al.. (2009). Anomalies of lipoprotein pattern and fibrinolysis in acromegalic patients: Relation to growth hormone levels and insulin-like growth factor I. Experimental and Clinical Endocrinology & Diabetes. 105(6). 331–335. 21 indexed citations
7.
Hanefeld, M, et al.. (2009). Effect of Acarbose on Postmeal Mononuclear Blood Cell Response in Patients with Early Type 2 Diabetes: The AI(I)DA Study. Hormone and Metabolic Research. 41(2). 132–136. 18 indexed citations
8.
Goette, Andreas, Alicja Bukowska, Dobromir Dobrev, et al.. (2009). Acute atrial tachyarrhythmia induces angiotensin II type 1 receptor-mediated oxidative stress and microvascular flow abnormalities in the ventricles. European Heart Journal. 30(11). 1411–1420. 101 indexed citations
9.
Rothe, Ulrike, Gabriele Müller, Rebecca M. Koch, et al.. (2008). Prevalence for the Cluster of Risk Factors of the Metabolic Vascular Syndrome in a Working Population in Germany. Hormone and Metabolic Research. 41(2). 168–170. 4 indexed citations
10.
Schwarz, Peter E. H., et al.. (2007). High Prevalence of Dyslipidemia in the Dresden Jewish Population. Hormone and Metabolic Research. 39(9). 700–701. 1 indexed citations
11.
Siekmeier, R., et al.. (2006). Glutathion und Angiotensin-converting-enzyme im Plasma asymptomatischer Rauchermittleren Alters. Atemwegs- und Lungenkrankheiten. 32(6). 236–252. 1 indexed citations
12.
Temelkova‐Kurktschiev, Theodora, et al.. (2002). Subclinical inflammation is strongly related to insulin resistance but not to impaired insulin secretion in a high risk population for diabetes. Metabolism. 51(6). 743–749. 119 indexed citations
13.
Bergmann, S., et al.. (1998). Even moderate cigarette smoking influences the pattern of circulating monocytes and the concentration of sICAM-1. Respiration Physiology. 114(3). 269–275. 69 indexed citations
14.
Kopprasch, Steffi, et al.. (1996). Comparison of circulating phagocyte oxidative activity measured by chemiluminescence in whole blood and isolated polymorphonuclear leukocytes. Clinica Chimica Acta. 253(1-2). 145–157. 18 indexed citations
15.
Jaroß, W, et al.. (1996). Dietary Habits in Eastern Germany: Changes after Reunification and their Relation to CHD Risk Profiles (DRECAN). Reviews on Environmental Health. 11(1-2). 27–33. 5 indexed citations
16.
Fohlman, Jan, Martin Höglund, & S. Bergmann. (1994). Successful treatment of chronic wound infection in neutropenia and rheumatoid arthritis with filgrastim (rhG-GSF). Annals of Hematology. 69(3). 153–156. 4 indexed citations
17.
Jaroß, W, et al.. (1994). Comparison of risk factors for coronary heart disease in Dresden and Münster. European Journal of Epidemiology. 10(3). 307–315. 18 indexed citations
18.
Bergmann, S., et al.. (1974). THE ABSORPTION AND METABOLISM OF A STANDARD ORAL DOSE OF LEVODOPA IN PATIENTS WITH PARKINSONISM. British Journal of Clinical Pharmacology. 1(5). 417–424. 18 indexed citations
19.
Godwin-Austen, R B, et al.. (1971). Incidence of Side Effects from Levodopa during the Introduction of Treatment. BMJ. 1(5743). 267–268. 10 indexed citations
20.
Godwin-Austen, R B, et al.. (1970). COMBINED TREATMENT OF PARKINSONISM WITH L-DOPA AND AMANTADINE. The Lancet. 296(7669). 383–385. 41 indexed citations

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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