Norman Best

475 total citations
60 papers, 298 citations indexed

About

Norman Best is a scholar working on Surgery, Neurology and Pharmacology. According to data from OpenAlex, Norman Best has authored 60 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Surgery, 16 papers in Neurology and 12 papers in Pharmacology. Recurrent topics in Norman Best's work include Musculoskeletal pain and rehabilitation (12 papers), Medical Practices and Rehabilitation (10 papers) and Long-Term Effects of COVID-19 (9 papers). Norman Best is often cited by papers focused on Musculoskeletal pain and rehabilitation (12 papers), Medical Practices and Rehabilitation (10 papers) and Long-Term Effects of COVID-19 (9 papers). Norman Best collaborates with scholars based in Germany, United States and Estonia. Norman Best's co-authors include Dana Loudovici-Krug, Christina Lemhöfer, Christian Sturm, Christoph Gutenbrünner, Matthias Aurich, Steffen Derlien, Gunther O. Hofmann, U. Smolenski, Bernd Rolauffs and Stefanie Quickert and has published in prestigious journals such as SHILAP Revista de lepidopterología, Quality of Life Research and Tissue Engineering Part A.

In The Last Decade

Norman Best

48 papers receiving 281 citations

Peers

Norman Best
Comparison fields: 5 of 70
  • Neurology 174
  • Clinical Psychology 103
  • Psychiatry and Mental health 85
  • Critical Care and Intensive Care Medicine 63
  • Surgery 41
Replace Ahmed M. Abodonya with:
Ahmed M. Abodonya Saudi Arabia
Deniz Palamar Türkiye
Ganesh Bavikatte United Kingdom
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Owen M Katalinic Australia
Patrizia Santoro Italy
M.I. Pedraza Spain
İbrahim Gündoğdu Türkiye
Laura Stone McGuire United States
M. de Sèze France
Ahmed M. Abodonya Saudi Arabia View profile →
Citations per field, relative to Norman Best
Norman Best · 1×
Citations per year, relative to Norman Best
Norman Best · 1×

Countries citing papers authored by Norman Best

Since Specialization
Citations

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

Fields of papers citing papers by Norman Best

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norman Best

This figure shows the co-authorship network connecting the top 25 collaborators of Norman Best. A scholar is included among the top collaborators of Norman Best 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 Norman Best. Norman Best 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
# Work Indexed citations
1 0
2 2
3 2
4 0
5 1
6 20
7 8
8 2
9 0
10 18
11 1
12 1
13 3
14 10
15 39
16 1
17 1
18 30
19 14
20 0

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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