Simon P. Behringer

1.8k citations
12 papers · 177 · h-index 7

Impact in

Papers in

    • Glioma Diagnosis and Treatment 4
    • Surgical Simulation and Training 1

Simon P. Behringer

12 papers receiving 177 citations

Peers

Simon P. Behringer
Comparison fields: 5 of 59
  • Genetics 67
  • Developmental Neuroscience 11
  • Neurology 19
  • Cancer Research 17
  • Cellular and Molecular Neuroscience 21
Replace Salvador Castaneda Vega with:
Salvador Castaneda Vega Germany
Swetha J. Sundar United States
Jaroslav Slamecka United States
Alice Willison Germany
Julie Lerond France
Yunxiang Ji China
Nicole Hellbach Germany
Rajiv K. Khajuria Germany
Yoko T. Udaka United States
Kentaro Yuda Japan
Simon P. Behringer relative to Salvador Castaneda Vega Germany Salvador Castaneda Vega's profile →
Citations per field
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Salvador Castaneda Vega · 1×
Citations per year

Countries citing papers authored by Simon P. Behringer

Since Specialization
Citations

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

Fields of papers citing papers by Simon P. Behringer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon P. Behringer. 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 Simon P. Behringer. The network helps show where Simon P. Behringer may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201951
2 201926
3 201922
4 202121
5 201821
6 202014
7 202211
8 20086
9 20232
10 20241
11 20241
12 20191

About Simon P. Behringer

Simon P. Behringer is a scholar working on Genetics, Surgery, Molecular Biology, Epidemiology and Neurology, having authored 12 papers that have together received 177 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (4 papers), Meningioma and schwannoma management (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Immune cells in cancer (2 papers), Extracellular vesicles in disease (2 papers), Pancreatic and Hepatic Oncology Research (1 paper), Surgical Simulation and Training (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Genetics (67 citations), Developmental Neuroscience (11 citations), Neurology (19 citations), Cancer Research (17 citations) and Cellular and Molecular Neuroscience (21 citations). Simon P. Behringer has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Dieter Henrik Heiland, Kevin Joseph, Oliver Schnell, Jürgen Beck, Vidhya M. Ravi, Marie Follo, Daniel Delev, Roman Sankowski, Irina Mader and Ulrich Hofmann. Their work appears in journals such as Cancers, Neuro-Oncology, Neurosurgical Review, Life Science Alliance and Acta Neurochirurgica.

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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