David Whiting
Impact in
-
- Trauma, Hemostasis, Coagulopathy, Resuscitation
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
Papers in
- Co-authors
- James A. DiNardo (2 shared papers)A. Ardehali (5 shared papers)James Yun (4 shared papers)Michael C. Fishbein (4 shared papers)Anamika Banerji (3 shared papers)Robert M. Strieter (2 shared papers)John A. Belperio (2 shared papers)Michael P. Fischbein (3 shared papers)
- Journals
- Circulation (1 paper)Computers in the Schools (1 paper)The American Surgeon (1 paper)Sleep Medicine (1 paper)American Journal Of Pathology (1 paper)
- Partner nations
- United States
In The Last Decade
David Whiting
13 papers receiving 810 citations
David Whiting's Hit Papers
Peers
Comparison fields: 5 of 86
- Critical Care and Intensive Care Medicine 253
- Internal Medicine 56
- Transplantation 33
- Hematology 117
- Biochemistry 53
Countries citing papers authored by David Whiting
This map shows the geographic impact of David Whiting'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 Whiting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Whiting more than expected).
Fields of papers citing papers by David Whiting
This network shows the impact of papers produced by David Whiting. 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 Whiting. The network helps show where David Whiting may publish in the future.
Co-authors
The 25 scholars most cited alongside David Whiting, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | TEG and ROTEM: Technology and clinical applications Hit paper breakdown → | 2013 | 480 |
| 2 | 2004 | 104 | |
| 3 | 2004 | 72 | |
| 4 | 2002 | 61 | |
| 5 | 2015 | 30 | |
| 6 | 2004 | 17 | |
| 7 | 2003 | 16 | |
| 8 | 2009 | 14 | |
| 9 | 2016 | 12 | |
| 10 | 2009 | 7 | |
| 11 | Teachers Under Construction—Incorporating Principles of Engaged and Brain Based Learning into a Constructivist “Technology in Education” Program | 2000 | 3 |
| 12 | 2000 | 3 | |
| 13 | 2011 | 2 |
About David Whiting
David Whiting is a scholar working on Surgery, Oncology, Cardiology and Cardiovascular Medicine, Immunology and Critical Care and Intensive Care Medicine, having authored 13 papers that have together received 821 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper), Online and Blended Learning (1 paper), Heparin-Induced Thrombocytopenia and Thrombosis (1 paper), Immunotherapy and Immune Responses (1 paper), Acute Myocardial Infarction Research (1 paper), T-cell and B-cell Immunology (1 paper) and Hemostasis and retained surgical items (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (253 citations), Internal Medicine (56 citations), Transplantation (33 citations), Hematology (117 citations) and Biochemistry (53 citations). David Whiting has collaborated with scholars based in United States. Frequent co-authors include James A. DiNardo, A. Ardehali, James Yun, Michael C. Fishbein, Anamika Banerji, Robert M. Strieter, John A. Belperio, Michael P. Fischbein, William C. Yao and Yoshihito Irie. Their work appears in journals such as Circulation, Computers in the Schools, The American Surgeon, Sleep Medicine and American Journal Of Pathology.
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.