RT Swank
Impact in
- Hematology top 2%
- Platelet Disorders and Treatments
- Blood groups and transfusion
- Cell Biology top 5%
- melanin and skin pigmentation
- Cellular transport and secretion
Papers in
- Hematology 15
- Platelet Disorders and Treatments 13
- Blood groups and transfusion 6
- Cell Biology 11
- melanin and skin pigmentation 8
- Cellular transport and secretion 3
- Co-authors
- EK Novak (18 shared papers)Marjorie D. Skudlarek (3 shared papers)M Reddington (13 shared papers)S. W. Hui (4 shared papers)Julie A. Brown (2 shared papers)E. K. Novák (6 shared papers)Kohei Takeuchi (3 shared papers)H. A. Wood (1 shared paper)
- Journals
- Blood (18 papers)Journal of Biological Chemistry (6 papers)The Journal of Cell Biology (2 papers)The Journal of Experimental Medicine (2 papers)American Journal of Clinical Pathology (1 paper)
- Partner nations
- United StatesIrelandSwitzerland
In The Last Decade
RT Swank
34 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 82
- Hematology 336
- Cell Biology 397
- Immunology and Allergy 76
- Physiology 53
- Immunology 202
Countries citing papers authored by RT Swank
This map shows the geographic impact of RT Swank'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 RT Swank with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites RT Swank more than expected).
Fields of papers citing papers by RT Swank
This network shows the impact of papers produced by RT Swank. 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 RT Swank. The network helps show where RT Swank may publish in the future.
Co-authors
The 25 scholars most cited alongside RT Swank, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1984 | 128 | |
| 2 | 1979 | 93 | |
| 3 | 1986 | 61 | |
| 4 | 1981 | 61 | |
| 5 | 1995 | 55 | |
| 6 | 1993 | 54 | |
| 7 | 1991 | 54 | |
| 8 | 1987 | 51 | |
| 9 | 1990 | 48 | |
| 10 | 1987 | 47 | |
| 11 | 1985 | 45 | |
| 12 | 1983 | 43 | |
| 13 | 1995 | 42 | |
| 14 | 1994 | 40 | |
| 15 | 1981 | 37 | |
| 16 | 1994 | 32 | |
| 17 | 1990 | 31 | |
| 18 | 1985 | 28 | |
| 19 | 1993 | 28 | |
| 20 | 1987 | 24 |
About RT Swank
RT Swank is a scholar working on Hematology, Cell Biology, Physiology, Immunology and Molecular Biology, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (13 papers), Lysosomal Storage Disorders Research (9 papers), melanin and skin pigmentation (8 papers), Blood groups and transfusion (6 papers), Glycosylation and Glycoproteins Research (5 papers), Carbohydrate Chemistry and Synthesis (4 papers), Calcium signaling and nucleotide metabolism (3 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Hematology (336 citations), Cell Biology (397 citations), Immunology and Allergy (76 citations), Physiology (53 citations) and Immunology (202 citations). RT Swank has collaborated with scholars based in United States, Ireland and Switzerland. Frequent co-authors include EK Novak, Marjorie D. Skudlarek, M Reddington, S. W. Hui, Julie A. Brown, E. K. Novák, Kohei Takeuchi, H. A. Wood, Kathleen A. Cooney and Angela Yang. Their work appears in journals such as Blood, Journal of Biological Chemistry, The Journal of Cell Biology, The Journal of Experimental Medicine and American Journal of Clinical 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.