David M. Weinstein

77 papers receiving 3.7k citations

Peers

David M. Weinstein
Comparison fields: 5 of 160
  • Computational Mathematics 145
  • Computer Graphics and Computer-Aided Design 175
  • Radiology, Nuclear Medicine and Imaging 924
  • Transplantation 91
  • Cognitive Neuroscience 617
Replace Raimond L. Winslow with:
Raimond L. Winslow United States
Krishna S. Nayak United States
Charles R.G. Guttmann United States
Thomas Klein Germany
Mehmet Akçakaya United States
Luke Sonoda United Kingdom
Michael Fulham Australia
Carlos Alberola‐López Spain
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Citations per field
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Raimond L. Winslow · 1×
Citations per year

Countries citing papers authored by David M. Weinstein

Since Specialization
Citations

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

Fields of papers citing papers by David M. Weinstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Weinstein. 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 David M. Weinstein. The network helps show where David M. Weinstein may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003398
2 2005319
3 1995245
4 2000191
5 2000146
6 1999138
7 2005136
8
Diagnostic and prognostic biomarkers in melanoma.
2014124
9 2000120
10 1999114
11 200099
12 200097
13 199593
14 200093
15 200292
16 201691
17 200679
18 199972
19 200172
20 199968

About David M. Weinstein

David M. Weinstein is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine, having authored 79 papers that have together received 3.9k indexed citations. Recurring topics across this work include Shoulder Injury and Treatment (11 papers), Advanced MRI Techniques and Applications (9 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Computer Graphics and Visualization Techniques (7 papers), Functional Brain Connectivity Studies (6 papers), Shoulder and Clavicle Injuries (6 papers), Neural dynamics and brain function (6 papers) and Nitric Oxide and Endothelin Effects (4 papers). The work is most often cited by research in Computational Mathematics (145 citations), Computer Graphics and Computer-Aided Design (175 citations), Radiology, Nuclear Medicine and Imaging (924 citations), Transplantation (91 citations) and Cognitive Neuroscience (617 citations). David M. Weinstein has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Gordon Kindlmann, John Anthony Bauer, Evan L. Flatow, Louis U. Bigliani, John J. Elias, Michael J. Mihm, Leonid Zhukov, Chris R. Johnson, Rob MacLeod and William J. Ciccone. Their work appears in journals such as Journal of Shoulder and Elbow Surgery, Arthroscopy The Journal of Arthroscopic and Related Surgery, Journal of Medicinal Chemistry, The American Journal of Sports Medicine and PLoS ONE.

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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