David M. Long

85 papers receiving 2.5k citations

Peers

David M. Long
Comparison fields: 5 of 147
  • Clinical Biochemistry 371
  • Internal Medicine 115
  • Nephrology 166
  • Endocrinology, Diabetes and Metabolism 237
  • Cell Biology 249
Replace A. S. McFarlane with:
A. S. McFarlane Tanzania
Ronald A. Malt United States
Raimondo De Cristofaro Italy
Gunnar Ronquist Sweden
Birger Blombäck Sweden
Dean A. Handley United States
Alvin H. Schmaier United States
Marshall A. Lichtman United States
Alan T. Davis United States
Steven C. Quay United States
David M. Long relative to A. S. McFarlane Tanzania A. S. McFarlane's profile →
Citations per field
00.5×11.8×
A. S. McFarlane · 1×
Citations per year

Countries citing papers authored by David M. Long

Since Specialization
Citations

This map shows the geographic impact of David M. Long'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. Long 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. Long more than expected).

Fields of papers citing papers by David M. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1964243
2 2005183
3 1980157
4 1963153
5 1998139
6 2001138
7 2004135
8 200699
9 199486
10 198276
11 199374
12 200068
13 199363
14 198262
15 200359
16 196655
17 200054
18 198937
19 198437
20 196436

About David M. Long

David M. Long is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Oncology, having authored 87 papers that have together received 2.8k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Mechanical Circulatory Support Devices (4 papers), Lanthanide and Transition Metal Complexes (4 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (4 papers), Advanced Glycation End Products research (4 papers), RNA and protein synthesis mechanisms (4 papers) and Cardiac pacing and defibrillation studies (3 papers). The work is most often cited by research in Clinical Biochemistry (371 citations), Internal Medicine (115 citations), Nephrology (166 citations), Endocrinology, Diabetes and Metabolism (237 citations) and Cell Biology (249 citations). David M. Long has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Judah Folkman, Olke C. Uhlenbeck, Josephine M. Forbes, Mark E. Cooper, Robert F. Mattrey, Frederick F. Becker, George Jerums, Sianna Panagiotopoulos, Gary A. Strobel and C. Walton Lillehei. Their work appears in journals such as Radiology, Investigative Radiology, Surgical Clinics of North America, Annals of the New York Academy of Sciences and Journal of Thoracic and Cardiovascular 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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