T. Graham
- Endocrinology top 0.5%
- Escherichia coli research studies 7
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation 9
- Biotechnology top 2%
- Food Science top 2%
- Salmonella and Campylobacter epidemiology 3
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology 4
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- Virus-based gene therapy research 16
- Mesenchymal stem cell research 6
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- Xenotransplantation and immune response 7
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- Fecal contamination and water quality 3
- Co-authors
- Victor P. J. GannonRainer StorbRobin KingSusan ReadS.F. D’SouzaKris RahnJoyce Van DonkersgoedB. E. S. Gunning
- Cited by
- EndocrinologyHematologyBiotechnology
- Partner nations
- United StatesCanadaSouth Africa
In The Last Decade
T. Graham
38 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 95
- Endocrinology 547
- Hematology 321
- Biotechnology 222
- Food Science 450
- Infectious Diseases 369
Countries citing papers authored by T. Graham
This map shows the geographic impact of T. Graham'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 T. Graham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Graham more than expected).
Fields of papers citing papers by T. Graham
This network shows the impact of papers produced by T. Graham. 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 T. Graham. The network helps show where T. Graham may publish in the future.
Co-authorship network
The 25 scholars most cited alongside T. Graham, 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 | 2005 | 20 | |
| 2 | 2004 | 37 | |
| 3 | 2003 | 105 | |
| 4 | 2002 | 48 | |
| 5 | 2002 | 13 | |
| 6 | 1997 | 48 | |
| 7 | 1997 | 22 | |
| 8 | 1997 | 323 | |
| 9 | 1996 | 43 | |
| 10 | Effects of rhIL-11 on normal dogs and after sublethal radiation. | 1995 | 28 |
| 11 | 1995 | 5 | |
| 12 | 1994 | 79 | |
| 13 | 1994 | 2 | |
| 14 | 1994 | 6 | |
| 15 | Recipient-specific donor cytotoxic T lymphocytes enhance engraftment of unrelated, DLA non-identical canine marrow. | 1994 | 8 |
| 16 | 1992 | 8 | |
| 17 | Sensitivity of newly transplanted marrow to further irradiation. | 1988 | 3 |
| 18 | 1988 | 14 | |
| 19 | 1970 | 39 | |
| 20 | Marrow infusions in dogs given midlethal or lethal irradiation. | 1970 | 68 |
About T. Graham
T. Graham is a scholar working on Endocrinology, Hematology and Genetics, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (16 papers), Hematopoietic Stem Cell Transplantation (9 papers), Xenotransplantation and immune response (7 papers), Escherichia coli research studies (7 papers), Mesenchymal stem cell research (6 papers), Viral gastroenteritis research and epidemiology (4 papers), Salmonella and Campylobacter epidemiology (3 papers) and Fecal contamination and water quality (3 papers). The work is most often cited by research in Endocrinology (547 citations), Hematology (321 citations) and Biotechnology (222 citations). T. Graham has collaborated with scholars based in United States, Canada and South Africa. Frequent co-authors include Victor P. J. Gannon, Rainer Storb, Robin King, Susan Read, S.F. D’Souza, Kris Rahn, Joyce Van Donkersgoed, B. E. S. Gunning, H. Joachim Deeg and James E. Thomas. Their work appears in journals such as Blood, Radiation Research, Transplantation, Canadian Journal of Microbiology and The Science of The Total Environment.
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.