S Beer

512 citations
14 papers · 319 · h-index 8

Impact in

Papers in

S Beer

11 papers receiving 301 citations

Peers

S Beer
Comparison fields: 5 of 66
  • Pathology and Forensic Medicine 157
  • Neurology 120
  • Neurology 50
  • Rehabilitation 39
  • Parasitology 30
Replace Rangasetty Srinivasa with:
Rangasetty Srinivasa India
Nirmal Pandey India
Daniel Becker United States
Joseph Nadell United States
M. Dupuis Belgium
Jee‐Hyun Kwon South Korea
Mitchell B. Strominger United States
David A. McFarling United States
Vincent Guiraud France
Péricles Maranhão‐Filho Brazil
S Beer relative to Rangasetty Srinivasa India Rangasetty Srinivasa's profile →
Citations per field
00.5×1.5×2.0×
Rangasetty Srinivasa · 1×
Citations per year

Countries citing papers authored by S Beer

Since Specialization
Citations

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

Fields of papers citing papers by S Beer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside S Beer, 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 S Beer Line = papers co-authored together S Beer links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2007101
2 199557
3 199243
4 200434
5 199727
6 199924
7
A fatal case of Q fever hepatitis in a child.
198515
8 19889
9 20143
10 19553
11
Clinical data bank at the University Department of Neurology, Bern, Switzerland: basis for an epidemiological study of multiple sclerosis in a high prevalence area.
19872
12 20071
13 20250
14 20010

About S Beer

S Beer is a scholar working on Pathology and Forensic Medicine, Neurology, Rehabilitation, Ecology, Evolution, Behavior and Systematics and Rheumatology, having authored 14 papers that have together received 319 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (7 papers), Medical Practices and Rehabilitation (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Peripheral Neuropathies and Disorders (2 papers), Vector-Borne Animal Diseases (2 papers), Vector-borne infectious diseases (2 papers), Stroke Rehabilitation and Recovery (2 papers) and Insect and Pesticide Research (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (157 citations), Neurology (120 citations), Neurology (50 citations), Rehabilitation (39 citations) and Parasitology (30 citations). S Beer has collaborated with scholars based in Switzerland, Australia and Germany. Frequent co-authors include Jürg Kesselring, Kai M. Rösler, Jan Kool, Jean‐Marie Annoni, Pavel Urban, H. C. Hopf, N. Brune, M.R. Magistris, Andrea M. Humm and M Aladjem. Their work appears in journals such as Clinical Neurophysiology, Journal of Cell Science, Disability and Rehabilitation, Multiple Sclerosis Journal and Journal of Neurology.

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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