Mark Tann

2.6k citations
66 papers · 1.9k indexed · h-index 21

Impact in

Papers in

Mark Tann

66 papers receiving 1.8k citations

Peers

Mark Tann
Comparison fields: 5 of 98
  • Radiology, Nuclear Medicine and Imaging 798
  • Hepatology 267
  • Pulmonary and Respiratory Medicine 857
  • Radiation 211
  • Oncology 525
Replace Chiara Floridi with:
Chiara Floridi Italy
Ravi K. Kaza United States
George M. Fuhrman United States
Christoph Trumm Germany
Louke Delrue Belgium
W. Dennis Foley United States
Alan Herschtal Australia
Joanne F. Chou United States
Stefan Diederich Germany
Andrea Veltri Italy
Mark Tann relative to Chiara Floridi Italy Chiara Floridi's profile →
Citations per field
00.5×3.0×
Chiara Floridi · 1×
Citations per year

Countries citing papers authored by Mark Tann

Since Specialization
Citations

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

Fields of papers citing papers by Mark Tann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013206
2 2007140
3 2002117
4 2018108
5 2012102
6 200793
7 200993
8 201085
9 200180
10 201777
11 200471
12 201371
13 200370
14 200665
15 201344
16 200436
17 201428
18 201927
19 200625
20 201422

About Mark Tann

Mark Tann is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Radiation, Pulmonary and Respiratory Medicine and Oncology, having authored 66 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (14 papers), Medical Imaging Techniques and Applications (11 papers), Prostate Cancer Treatment and Research (10 papers), Radiopharmaceutical Chemistry and Applications (8 papers), Liver Disease Diagnosis and Treatment (8 papers), Advanced Radiotherapy Techniques (8 papers), MRI in cancer diagnosis (7 papers) and Pancreatic and Hepatic Oncology Research (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (798 citations), Hepatology (267 citations), Pulmonary and Respiratory Medicine (857 citations), Radiation (211 citations) and Oncology (525 citations). Mark Tann has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Kumaresan Sandrasegaran, Fatih Akisik, Temel Tirkes, S. Gregory Jennings, Helen T. Winer-Muram, Marc Kohli, James Fletcher, Robert Timmerman, D.J. Hoopes and Ronald C. McGarry. Their work appears in journals such as Journal of Clinical Oncology, American Journal of Roentgenology, Radiographics, Journal of Endourology and The American Journal of Surgery.

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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