T.E. Witzig
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
-
- Genetic factors in colorectal cancer
- Lymphoma Diagnosis and Treatment
Papers in
- Hematology 10
- Multiple Myeloma Research and Treatments 9
-
- Amyloidosis: Diagnosis, Treatment, Outcomes 3
- Glycosylation and Glycoproteins Research 2
- Co-authors
- RA Kyle (3 shared papers)Daniel D. Billadeau (3 shared papers)Brian Van Ness (3 shared papers)TM Therneau (2 shared papers)Teresa K. Kimlinger (2 shared papers)Gist H. Farr (1 shared paper)Richard M. Goldberg (1 shared paper)M. J. OʼConnell (1 shared paper)
- Journals
- Blood (4 papers)European Journal of Cancer (2 papers)JNCI Journal of the National Cancer Institute (1 paper)Neurology (1 paper)Bone Marrow Transplantation (1 paper)
- Partner nations
- United StatesSouth AfricaPoland
In The Last Decade
T.E. Witzig
17 papers receiving 756 citations
Peers
Comparison fields: 5 of 44
- Hematology 257
- Pathology and Forensic Medicine 327
- Genetics 149
- Oncology 300
- Neurology 114
Countries citing papers authored by T.E. Witzig
This map shows the geographic impact of T.E. Witzig'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.E. Witzig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.E. Witzig more than expected).
Fields of papers citing papers by T.E. Witzig
This network shows the impact of papers produced by T.E. Witzig. 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.E. Witzig. The network helps show where T.E. Witzig may publish in the future.
Co-authors
The 25 scholars most cited alongside T.E. Witzig, 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 | 1999 | 307 | |
| 2 | 1991 | 128 | |
| 3 | 1996 | 89 | |
| 4 | 1996 | 88 | |
| 5 | 1996 | 85 | |
| 6 | 1999 | 29 | |
| 7 | 2008 | 11 | |
| 8 | 1995 | 8 | |
| 9 | Giant uterine fibromyoma producing secondary polycythemia. | 1994 | 8 |
| 10 | Safety and efficacy of Zevalin in four patients with mucosa associated lymphoid tissue (MALT) lymphoma | 2001 | 7 |
| 11 | 2019 | 6 | |
| 12 | 2001 | 5 | |
| 13 | 2001 | 2 | |
| 14 | 2004 | 2 | |
| 15 | 2008 | 2 | |
| 16 | 2009 | 1 | |
| 17 | 1999 | 1 | |
| 18 | 2009 | 0 |
About T.E. Witzig
T.E. Witzig is a scholar working on Hematology, Molecular Biology, Pathology and Forensic Medicine, Genetics and Oncology, having authored 18 papers that have together received 779 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (9 papers), Lymphoma Diagnosis and Treatment (5 papers), Cancer Treatment and Pharmacology (3 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers), Glycosylation and Glycoproteins Research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Hematology (257 citations), Pathology and Forensic Medicine (327 citations), Genetics (149 citations), Oncology (300 citations) and Neurology (114 citations). T.E. Witzig has collaborated with scholars based in United States, South Africa and Poland. Frequent co-authors include RA Kyle, Daniel D. Billadeau, Brian Van Ness, TM Therneau, Teresa K. Kimlinger, Gist H. Farr, Richard M. Goldberg, M. J. OʼConnell, Stephen N. Thibodeau and Kevin C. Halling. Their work appears in journals such as Blood, European Journal of Cancer, JNCI Journal of the National Cancer Institute, Neurology and Bone Marrow Transplantation.
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.