Stephen Tenn

1.3k citations
53 papers · 942 · h-index 16

Impact in

Papers in

Stephen Tenn

52 papers receiving 924 citations

Peers

Stephen Tenn
Comparison fields: 5 of 97
  • Radiation 372
  • Radiology, Nuclear Medicine and Imaging 300
  • Human-Computer Interaction 67
  • Genetics 127
  • Pulmonary and Respiratory Medicine 348
Replace Y. Tamaki with:
Y. Tamaki Japan
A. Minken Netherlands
Lucía Zamorano United States
Peter Schullian Austria
Christopher Kennedy United States
Timothy T. Bui United States
Akira Hagiwara Japan
Maximilien Vermandel France
P. Meyer France
Geirmund Unsgaard Norway
Stephen Tenn relative to Y. Tamaki Japan Y. Tamaki's profile →
Citations per field
00.5×10×16.8×
Y. Tamaki · 1×
Citations per year

Countries citing papers authored by Stephen Tenn

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Tenn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016210
2 2008166
3 201564
4 201463
5 201530
6 201822
7 201720
8 201920
9 201719
10 200517
11 201617
12 201216
13 202116
14 201516
15 201416
16 202116
17 201815
18 202315
19 201715
20 201614

About Stephen Tenn

Stephen Tenn is a scholar working on Radiation, Pulmonary and Respiratory Medicine, Neurology, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 53 papers that have together received 942 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (28 papers), Meningioma and schwannoma management (12 papers), Brain Metastases and Treatment (10 papers), Glioma Diagnosis and Treatment (10 papers), Lung Cancer Diagnosis and Treatment (9 papers), Medical Imaging Techniques and Applications (8 papers), Radiation Therapy and Dosimetry (6 papers) and Head and Neck Cancer Studies (5 papers). The work is most often cited by research in Radiation (372 citations), Radiology, Nuclear Medicine and Imaging (300 citations), Human-Computer Interaction (67 citations), Genetics (127 citations) and Pulmonary and Respiratory Medicine (348 citations). Stephen Tenn has collaborated with scholars based in United States, Australia and Taiwan. Frequent co-authors include Timothy D. Solberg, Paul Medin, Isaac Yang, Jian‐Yue Jin, F Yin, Nolan Ung, Daniel T. Nagasawa, Percy Lee, Panayiotis E. Pelargos and Tania Kaprealian. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Medical Physics, World Neurosurgery, Practical Radiation Oncology and Cancers.

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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