E. Jason Abel

3.7k citations
118 papers · 2.5k indexed · h-index 28

Impact in

Papers in

E. Jason Abel

113 papers receiving 2.5k citations

Peers

E. Jason Abel
Comparison fields: 5 of 90
  • Pulmonary and Respiratory Medicine 1.9k
  • Cancer Research 514
  • Internal Medicine 68
  • Molecular Biology 1.2k
  • Oncology 472
Replace Hervé Lang with:
Hervé Lang France
Jacques Tostain France
Ken‐ryu Han United States
Joan Sweet Canada
Stanley L. Liauw United States
Junji Yonese Japan
Alberto Bossi France
Brian F. Chapin United States
Bobby Shayegan Canada
Jonas Busch Germany
E. Jason Abel relative to Hervé Lang France Hervé Lang's profile →
Citations per field
00.5×1.5×2.4×
Hervé Lang · 1×
Citations per year

Countries citing papers authored by E. Jason Abel

Since Specialization
Citations

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

Fields of papers citing papers by E. Jason Abel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20239
2 20231
3 20232
4 202215
5 202219
6 20219
7 20203
8 20203
9 20195
10 201939
11 201935
12 201943
13 20189
14 20166
15 20164
16 201452
17 201460
18 201250
19 2010139
20 20099

About E. Jason Abel

E. Jason Abel is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Surgery, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 118 papers that have together received 2.5k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (90 papers), Renal and related cancers (53 papers), Bladder and Urothelial Cancer Treatments (31 papers), Cancer Genomics and Diagnostics (21 papers), MRI in cancer diagnosis (17 papers), Prostate Cancer Diagnosis and Treatment (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Pediatric Urology and Nephrology Studies (7 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.9k citations), Cancer Research (514 citations), Internal Medicine (68 citations), Molecular Biology (1.2k citations) and Oncology (472 citations). E. Jason Abel has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Christopher G. Wood, Stephen H. Culp, Meghan G. Lubner, Surena F. Matin, Vitaly Margulis, Pheroze Tamboli, Nizar M. Tannir, José A. Karam, Timothy J. Ziemlewicz and Tracy M. Downs. Their work appears in journals such as The Journal of Urology, Urology, Abdominal Radiology, European Urology and British Journal of Urology.

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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