Ben E. Paxton

872 citations
32 papers · 615 indexed · h-index 14

Ben E. Paxton

31 papers receiving 600 citations

Peers

Ben E. Paxton
Comparison fields: 5 of 95
  • Internal Medicine 171
  • Emergency Medical Services 116
  • Health Informatics 9
  • Surgery 269
  • Endocrine and Autonomic Systems 37
Replace Paul St. Jacques with:
Paul St. Jacques United States
Bruria Hirsh Raccah Israel
Alicia Lorenzo Spain
Nicolas Lerolle France
Françoise Carpentier France
Nicholas A. Bosch United States
Jiung-Hsiun Liu Taiwan
Dieter Conen Switzerland
Richard Strauß Germany
Ghadeer K. Dawwas United States
Ben E. Paxton relative to Paul St. Jacques United States Paul St. Jacques's profile →
Citations per field
00.5×10×15×18.5×
Paul St. Jacques · 1×
Citations per year

Countries citing papers authored by Ben E. Paxton

Since Specialization
Citations

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

Fields of papers citing papers by Ben E. Paxton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben E. Paxton. 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 Ben E. Paxton. The network helps show where Ben E. Paxton may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20220
2 202188
3 20218
4 202010
5 201613
6 201611
7 201526
8 201427
9 201418
10 201325
11 201312
12 201248
13 201132
14 200823
15 20075
16 20073
17 200695
18 200612
19 200621
20 200661

About Ben E. Paxton

Ben E. Paxton is a scholar working on Internal Medicine, Pharmacy, Endocrine and Autonomic Systems, Obstetrics and Gynecology and Reproductive Medicine, having authored 32 papers that have together received 615 indexed citations. Recurring topics across this work include Radiation Dose and Imaging (5 papers), Radiology practices and education (5 papers), Venous Thromboembolism Diagnosis and Management (5 papers), Regulation of Appetite and Obesity (4 papers), Uterine Myomas and Treatments (4 papers), Diagnosis and Treatment of Venous Diseases (4 papers), Endometriosis Research and Treatment (4 papers) and Medical Malpractice and Liability Issues (3 papers). The work is most often cited by research in Internal Medicine (171 citations), Emergency Medical Services (116 citations), Health Informatics (9 citations), Surgery (269 citations) and Endocrine and Autonomic Systems (37 citations). Ben E. Paxton has collaborated with scholars based in United States, United Kingdom and Qatar. Frequent co-authors include Hyun S. Kim, Michael B. Streiff, Ajanta Patra, Charles Kim, Aravind Arepally, Matthew P. Lungren, Sandra S. Stinnett, Judy M. Lee, Juliet A. Usher‐Smith and Dara L. Kraitchman. Their work appears in journals such as Journal of Vascular and Interventional Radiology, Radiology, American Journal of Roentgenology, CardioVascular and Interventional Radiology and BMC Public Health.

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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