T.E. Witzig

965 citations
18 papers · 813 · h-index 9

Impact in

Papers in

    • Multiple Myeloma Research and Treatments 9
    • Amyloidosis: Diagnosis, Treatment, Outcomes 3
    • Glycosylation and Glycoproteins Research 2

T.E. Witzig

17 papers receiving 777 citations

Peers

T.E. Witzig
Comparison fields: 5 of 45
  • Hematology 269
  • Pathology and Forensic Medicine 343
  • Genetics 164
  • Oncology 311
  • Neurology 122
Replace Wolf‐Dieter Ludwig with:
Wolf‐Dieter Ludwig Germany
Jakob Werner Hansen Denmark
Yiu‐Lam Kwan Australia
Arin Schroeder United States
Guido Parvis Italy
Troy Bainbridge United States
Pascale De Paepe Belgium
S. Molica Italy
Paul‐André Bryon France
Monica Crugnola Italy
T.E. Witzig relative to Wolf‐Dieter Ludwig Germany Wolf‐Dieter Ludwig's profile →
Citations per field
00.5×1.5×
Wolf‐Dieter Ludwig · 1×
Citations per year

Countries citing papers authored by T.E. Witzig

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with T.E. Witzig Line = papers co-authored together T.E. Witzig links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1999316
2 1991140
3 199693
4 199693
5 199687
6 199929
7 200811
8
Safety and efficacy of Zevalin in four patients with mucosa associated lymphoid tissue (MALT) lymphoma
20019
9 19958
10
Giant uterine fibromyoma producing secondary polycythemia.
19948
11 20196
12 20015
13 20012
14 20042
15 20082
16 20091
17 19991
18 20090

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 813 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 (269 citations), Pathology and Forensic Medicine (343 citations), Genetics (164 citations), Oncology (311 citations) and Neurology (122 citations). T.E. Witzig has collaborated with scholars based in United States, South Africa and Poland. Frequent co-authors include RA Kyle, Brian Van Ness, Daniel D. Billadeau, TM Therneau, Teresa K. Kimlinger, Stephen N. Thibodeau, M. J. OʼConnell, Lawrence J. Burgart, M. R. Mahoney and Kevin C. Halling. Their work appears in journals such as Blood, European Journal of Cancer, Hematological Oncology, Haematologica 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.

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