Stephen Seedial

937 citations
18 papers · 705 · h-index 13

Impact in

Papers in

Stephen Seedial

17 papers receiving 697 citations

Peers

Stephen Seedial
Comparison fields: 5 of 75
  • Internal Medicine 38
  • Genetics 85
  • Pulmonary and Respiratory Medicine 167
  • Cancer Research 71
  • Neurology 62
Replace Benjamin J. Shin with:
Benjamin J. Shin United States
Olumuyiwa Idowu United States
Korff Krause Germany
Ashley Goss United States
Gale L. Tang United States
Claire Squiban France
Nathaniel G. dela Paz United States
P Houston United Kingdom
Shunichi Matsumoto Japan
K. Werther Denmark
Stephen Seedial relative to Benjamin J. Shin United States Benjamin J. Shin's profile →
Citations per field
00.5×3.5×
Benjamin J. Shin · 1×
Citations per year

Countries citing papers authored by Stephen Seedial

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Seedial

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2010123
2 201275
3 201274
4 201271
5 201368
6 201565
7 201245
8 201444
9 201742
10 201432
11 201221
12 201621
13 201816
14 20244
15 20212
16 20111
17 20171
18 20210

About Stephen Seedial

Stephen Seedial is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Internal Medicine and Genetics, having authored 18 papers that have together received 705 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (6 papers), Aortic aneurysm repair treatments (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Cell Adhesion Molecules Research (2 papers), Ultrasound in Clinical Applications (2 papers), Angiogenesis and VEGF in Cancer (1 paper), Endometriosis Research and Treatment (1 paper) and Renal cell carcinoma treatment (1 paper). The work is most often cited by research in Internal Medicine (38 citations), Genetics (85 citations), Pulmonary and Respiratory Medicine (167 citations), Cancer Research (71 citations) and Neurology (62 citations). Stephen Seedial has collaborated with scholars based in United States and Barbados. Frequent co-authors include K. Craig Kent, Xudong Shi, Bo Liu, Pasithorn A. Suwanabol, Dai Yamanouchi, Yi Si, Bo Liu, Stephanie Morgan, Justin Lengfeld and Apostolos John Tsiouris. Their work appears in journals such as Journal of Vascular Surgery, American Journal of Physiology-Heart and Circulatory Physiology, Cancers, Radiographics and Journal of neurosurgery.

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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