James C. Brown

26 papers receiving 541 citations

Peers

James C. Brown
Comparison fields: 5 of 111
  • Orthopedics and Sports Medicine 64
  • Equine 10
  • Pulmonary and Respiratory Medicine 196
  • Small Animals 40
  • Transplantation 13
Replace Stacy Hoshaw‐Woodard with:
Stacy Hoshaw‐Woodard United States
Esther Rodrı́guez Spain
Raphael Shafir Israel
Pietro Bortoletto United States
Eva Dick United Kingdom
C.Y. Maximilian Png United States
C. Vermylen Belgium
Philipp Soergel Germany
Sanja Kupešić Croatia
Zhen-Feng Liu China
James C. Brown relative to Stacy Hoshaw‐Woodard United States Stacy Hoshaw‐Woodard's profile →
Citations per field
00.5×4.8×
Stacy Hoshaw‐Woodard · 1×
Citations per year

Countries citing papers authored by James C. Brown

Since Specialization
Citations

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

Fields of papers citing papers by James C. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James C. Brown. 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 James C. Brown. The network helps show where James C. Brown may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20249
4 20210
5 202114
6 202036
7 201920
8 201857
9 201739
10
Scanning technology selection impacts acceptability and usefulness of image-rich content
20161
11 20148
12 201415
13 201411
14 201350
15 201311
16 201248
17 20107
18 200415
19 200418
20 20035

About James C. Brown

James C. Brown is a scholar working on Transplantation, Family Practice, Emergency Medicine, Radiology, Nuclear Medicine and Imaging and Microbiology, having authored 33 papers that have together received 592 indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (8 papers), Radiation Dose and Imaging (4 papers), Renal Transplantation Outcomes and Treatments (3 papers), Traumatic Brain Injury Research (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Injury Epidemiology and Prevention (2 papers), Polyomavirus and related diseases (2 papers) and Microbial infections and disease research (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (64 citations), Equine (10 citations), Pulmonary and Respiratory Medicine (196 citations), Small Animals (40 citations) and Transplantation (13 citations). James C. Brown has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Lucian Boia, Philip Rubin, Michael Feldstein, Omar M. Salazar, Bowen E. Keller, Ian Robertson, Jason A. Osborne, Karen Hind, Peter Francis and Gareth Jones. Their work appears in journals such as American Journal of Veterinary Research, Journal of Pediatric Surgery, Sports Medicine, Veterinary Radiology & Ultrasound and Cancer.

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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