Gary Stack
Impact in
- Hematology top 1%
- Blood groups and transfusion
- Platelet Disorders and Treatments
- Biochemistry top 1%
- Blood transfusion and management
Papers in
- Hematology 21
- Blood groups and transfusion 19
- Platelet Disorders and Treatments 5
- Biochemistry 10
- Blood transfusion and management 10
- Co-authors
- Christopher A. Tormey (12 shared papers)Barton Kenney (2 shared papers)Edward L. Snyder (3 shared papers)John D. Fisk (1 shared paper)Laurence Baril (1 shared paper)John G. Howe (5 shared papers)Solomon H. Snyder (1 shared paper)Marie Peddinghaus (1 shared paper)
- Journals
- Transfusion (13 papers)Archives of Pathology & Laboratory Medicine (3 papers)American Journal of Clinical Pathology (2 papers)Blood (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesNorwayGermany
In The Last Decade
Gary Stack
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 79
- Hematology 666
- Biochemistry 359
- Genetics 153
- Critical Care and Intensive Care Medicine 62
- Physiology 250
Countries citing papers authored by Gary Stack
This map shows the geographic impact of Gary Stack'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 Gary Stack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary Stack more than expected).
Fields of papers citing papers by Gary Stack
This network shows the impact of papers produced by Gary Stack. 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 Gary Stack. The network helps show where Gary Stack may publish in the future.
Co-authors
The 25 scholars most cited alongside Gary Stack, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 242 | |
| 2 | 2008 | 117 | |
| 3 | 1995 | 114 | |
| 4 | 2008 | 113 | |
| 5 | 2009 | 82 | |
| 6 | 2009 | 78 | |
| 7 | 2009 | 72 | |
| 8 | 2016 | 50 | |
| 9 | 1989 | 46 | |
| 10 | 2013 | 42 | |
| 11 | 1984 | 34 | |
| 12 | 2016 | 32 | |
| 13 | 2010 | 25 | |
| 14 | 2007 | 18 | |
| 15 | 2009 | 17 | |
| 16 | 2013 | 13 | |
| 17 | Practical Guide to Transfusion Medicine | 2001 | 11 |
| 18 | 2014 | 10 | |
| 19 | 2014 | 9 | |
| 20 | 2016 | 8 |
About Gary Stack
Gary Stack is a scholar working on Hematology, Biochemistry, Physiology, Infectious Diseases and Pharmacology, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Blood groups and transfusion (19 papers), Blood transfusion and management (10 papers), Erythrocyte Function and Pathophysiology (6 papers), Platelet Disorders and Treatments (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Blood disorders and treatments (3 papers) and Heparin-Induced Thrombocytopenia and Thrombosis (2 papers). The work is most often cited by research in Hematology (666 citations), Biochemistry (359 citations), Genetics (153 citations), Critical Care and Intensive Care Medicine (62 citations) and Physiology (250 citations). Gary Stack has collaborated with scholars based in United States, Norway and Germany. Frequent co-authors include Christopher A. Tormey, Barton Kenney, Edward L. Snyder, John D. Fisk, Laurence Baril, John G. Howe, Solomon H. Snyder, Marie Peddinghaus, Lloyd D. Fricker and Nisha Unni. Their work appears in journals such as Transfusion, Archives of Pathology & Laboratory Medicine, American Journal of Clinical Pathology, Blood 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.