Thomas G. Gabuzda
- Physiology top 10%
- Genetics top 5%
- Hematology top 5%
- Molecular Biology
- Nutrition and Dietetics top 10%
- Co-authors
- Frank H. GardnerDavid G. NathanGeorg ReichardPavle PaulChristopher P. HolroydeRuth SilverHugh B. LewisAllan J. Erslev
- Topics
- Hemoglobinopathies and Related Disorders (21 papers)Erythrocyte Function and Pathophysiology (16 papers)Iron Metabolism and Disorders (13 papers)
- Cited by
- GeneticsHematologyPhysiology
- Partner nations
- United StatesDenmarkJapan
In The Last Decade
Thomas G. Gabuzda
38 papers receiving 619 citations
Peers
Comparison fields: 5 of 75
- Physiology 297
- Genetics 288
- Hematology 256
- Molecular Biology 175
- Nutrition and Dietetics 109
Countries citing papers authored by Thomas G. Gabuzda
This map shows the geographic impact of Thomas G. Gabuzda'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 Thomas G. Gabuzda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas G. Gabuzda more than expected).
Fields of papers citing papers by Thomas G. Gabuzda
This network shows the impact of papers produced by Thomas G. Gabuzda. 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 Thomas G. Gabuzda. The network helps show where Thomas G. Gabuzda may publish in the future.
Co-authorship network of co-authors of Thomas G. Gabuzda
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas G. Gabuzda. A scholar is included among the top collaborators of Thomas G. Gabuzda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas G. Gabuzda. Thomas G. Gabuzda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Symmetric myositis and fasciitis: a complication of sickle cell anemia during vasoocclusion. | 19 |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 20 | |
| 7 | Altered glucose metabolism in metastatic carcinoma. | 197 |
| 8 | 8 | |
| 9 | 8 | |
| 10 | 13 | |
| 11 | Regulation of erythropoiesis in erythroleukemia. | 19 |
| 12 | 5 | |
| 13 | 33 | |
| 14 | 9 | |
| 15 | 0 | |
| 16 | 4 | |
| 17 | 64 | |
| 18 | 7 | |
| 19 | 6 | |
| 20 | [The use of Cr-51 labelled erythrocytes in hematological diagnosis]. | 2 |
About Thomas G. Gabuzda
Thomas G. Gabuzda is a scholar working on Genetics, Hematology and Physiology, having authored 39 papers that have together received 706 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (21 papers), Erythrocyte Function and Pathophysiology (16 papers) and Iron Metabolism and Disorders (13 papers). The work is most often cited by research in Genetics (288 citations), Hematology (256 citations) and Physiology (297 citations). Thomas G. Gabuzda has collaborated with scholars based in United States, Denmark and Japan. Frequent co-authors include Frank H. Gardner, David G. Nathan, Georg Reichard, Pavle Paul, Christopher P. Holroyde, Ruth Silver, Hugh B. Lewis, Allan J. Erslev, Hideo Yamada and Bonnie Brice Dorwart. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.