The chart shows the distribution of publications by all Research.com ranked scientists in the field of Medicine in 2026. The highlighted bar marks where Joel G. Fletcher sits on this spectrum.
This scientist: 497 publications — 57th percentile
57% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,796 publications or more.
The chart shows the D-index (discipline H-index) distribution of Medicine scientists ranked by Research.com in 2026. The highlighted bar marks where Joel G. Fletcher sits on this spectrum.
This scientist: 101 D-Index — 61st percentile
61% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 217 D-Index or more.
Joel G. Fletcher is affiliated with the Mayo Clinic in the United States. Their research primarily focuses on medicine, with a strong emphasis on radiology, nuclear medicine, and imaging. They have contributed extensively to the subfields of biomedical engineering, surgery, genetics, and epidemiology.
Their work covers a range of topics within medical imaging, including advanced X-ray and CT imaging, radiation dose and imaging, and medical imaging techniques and applications. They have also addressed conditions related to inflammatory bowel disease, diverticular disease and complications, radiomics and machine learning in medical imaging, and autoimmune and inflammatory disorders.
Recent publications by Joel G. Fletcher highlight their involvement in innovations and clinical applications of computed tomography (CT). Notable papers include:
Joel G. Fletcher frequently collaborates with several researchers, including Cynthia H. McCollough, Shuai Leng, David H. Bruining, Lifeng Yu, and Akitoshi Inoue. Their work appears in a variety of prominent publication venues, predominantly in:
Their extensive publication record spans over 300 contributions in the field of medicine, with imaging-related research particularly well represented. Joel's research integrates advanced imaging techniques with clinical diagnostics, particularly in radiation dose assessment and disease detection through radiomics and machine learning approaches.
Cynthia H. McCollough;Shuai Leng;Lifeng Yu;Joel G. Fletcher
Susan M Wolf;Frances P Lawrenz;Charles A. Nelson;Jeffrey P. Kahn
David A. Schwartz;Maurits J. Wiersema;Kika M. Dudiak;J.G. Fletcher
Marcia Irene Canto;Ralph H. Hruban;Elliot K. Fishman;Ihab R. Kamel
Benjamin Pariente;Jacques Cosnes;Silvio Danese;William J. Sandborn
Scott R. Paulsen;James E. Huprich;Joel G. Fletcher;Fargol Booya
Andrew N. Primak;Joel G. Fletcher;Terri J. Vrtiska;Oleksandr P. Dzyubak
Fletcher Jg;Johnson Cd;Welch Tj;MacCarty Rl
Lifeng Yu;Xin Liu;Shuai Leng;James M Kofler
Peter B Wold;Joel G Fletcher;C Daniel Johnson;William J Sandborn
Craig A. Solem;Edward V. Loftus;Joel G. Fletcher;Todd H. Baron
Hassan A. Siddiki;Jeff L. Fidler;Joel G. Fletcher;Sharon S. Burton
Kale D. Bodily;Joel G. Fletcher;Craig A. Solem;C. Daniel Johnson
Shuai Leng;Michael Bruesewitz;Shengzhen Tao;Kishore Rajendran
Joel G. Fletcher;Maurits J. Wiersema;Michael A. Farrell;Jeff L. Fidler
Lifeng Yu;Jodie A. Christner;Shuai Leng;Jia Wang
Naoki Takahashi;Akira Kawashima;Joel G. Fletcher;Suresh T. Chari
Armando Manduca;Lifeng Yu;Joshua D. Trzasko;Natalia Khaylova
Matthew R. Callstrom;C. Daniel Johnson;J. G. Fletcher;Judd E. Reed
Joel G. Fletcher;C. Daniel Johnson;Timothy J. Welch;Robert L. MacCarty
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