George P. Nanos

1.0k citations
18 papers · 701 indexed · 1 hit paper · h-index 8

George P. Nanos

18 papers receiving 684 citations

Hit Papers

Targeted Muscle Reinnervation Treats Neuroma and Phantom ...20182026202020232018100200300

Peers

George P. Nanos
Comparison fields: 5 of 64
  • Surgery 313
  • Biomedical Engineering 296
  • Cellular and Molecular Neuroscience 259
  • Anesthesiology and Pain Medicine 168
  • Rehabilitation 115
Replace L. E. Jones with:
L. E. Jones Australia
İsmail Safaz Türkiye
S. E. R. HOVIUS Netherlands
Toshiki Matsunaga Japan
Brian M. Kelly United States
W. J. Gaine United Kingdom
Johannes A. Mayer Austria
Soshi Samejima United States
Ryan Solinsky United States
V. Fialka Austria
George P. Nanos relative to L. E. Jones Australia L. E. Jones's profile →
Citations per field
00.5×7.6×
L. E. Jones · 1×
Citations per year

Countries citing papers authored by George P. Nanos

Since Specialization
Citations

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

Fields of papers citing papers by George P. Nanos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George P. Nanos

This figure shows the co-authorship network connecting the top 25 collaborators of George P. Nanos. A scholar is included among the top collaborators of George P. Nanos 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 George P. Nanos. George P. Nanos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 2
2 2
3 28
4 7
5
Targeted Muscle Reinnervation Treats Neuroma and Phantom Pain in Major Limb Amputeesbreakdown →
320
6 1
7 1
8 6
9 58
10 17
11 23
12 34
13 148
14 1
15 3
16
Dismounted Complex Blast Injury.
43
17 6
18 1

About George P. Nanos

George P. Nanos is a scholar working on Anesthesiology and Pain Medicine, Rehabilitation and Pharmacology, having authored 18 papers that have together received 701 indexed citations. Recurring topics across this work include Orthopedic Surgery and Rehabilitation (7 papers), Musculoskeletal pain and rehabilitation (5 papers) and Pain Management and Treatment (4 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (168 citations), Rehabilitation (115 citations) and Cellular and Molecular Neuroscience (259 citations). George P. Nanos has collaborated with scholars based in United States, Somalia and Germany. Frequent co-authors include Scott M. Tintle, Jason M. Souza, Ian L. Valerio, Benjamin K. Potter, Jason H. Ko, Lauren M. Mioton, Sumanas W. Jordan, Gregory A. Dumanian, William J. Ertl and A. Vania Apkarian. Their work appears in journals such as Annals of Surgery, Clinical Orthopaedics and Related Research and Journal of Vascular Surgery.

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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