Stephen Tenn

52 papers receiving 942 citations

Peers

Stephen Tenn
Comparison fields: 5 of 96
  • Radiation 321
  • Human-Computer Interaction 64
  • Radiology, Nuclear Medicine and Imaging 159
  • Pulmonary and Respiratory Medicine 223
  • Genetics 75
Replace A. Minken with:
A. Minken Netherlands
Maximilien Vermandel France
P. Meyer France
Timothy T. Bui United States
Ana María Barragán Montero Belgium
Barbara Carl Germany
Shengyu Yao China
Akira Hagiwara Japan
Hartmut Gumprecht Germany
Xiangpan Li China
Stephen Tenn relative to A. Minken Netherlands A. Minken's profile →
Citations per field
00.5×3.6×
A. Minken · 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 2016213
2 2008166
3 201564
4 201463
5 201530
6 201921
7 201821
8 201720
9 201719
10 202118
11 202118
12 201617
13 201616
14 201216
15 201516
16 200516
17 201416
18 201715
19 202315
20 201715

About Stephen Tenn

Stephen Tenn is a scholar working on Pulmonary and Respiratory Medicine, Radiation, Neurology, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 53 papers that have together received 959 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (20 papers), Brain Metastases and Treatment (8 papers), Meningioma and schwannoma management (8 papers), Glioma Diagnosis and Treatment (6 papers), Head and Neck Cancer Studies (5 papers), Neurofibromatosis and Schwannoma Cases (5 papers), Lung Cancer Diagnosis and Treatment (5 papers) and Radiation Therapy and Dosimetry (4 papers). The work is most often cited by research in Radiation (321 citations), Human-Computer Interaction (64 citations), Radiology, Nuclear Medicine and Imaging (159 citations), Pulmonary and Respiratory Medicine (223 citations) and Genetics (75 citations). Stephen Tenn has collaborated with scholars based in United States, Brazil and Australia. Frequent co-authors include Timothy D. Solberg, Paul Medin, Isaac Yang, Jian‐Yue Jin, F Yin, Nolan Ung, Daniel T. Nagasawa, Percy Lee, Tania Kaprealian and Panayiotis E. Pelargos. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Medical Physics, World Neurosurgery, Practical Radiation Oncology and Clinical Neurology and 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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