T. E. Witzig

1.8k citations
13 papers · 1.6k · 1 hit paper · h-index 8

Impact in

  • Toxicology top 2%
    • Bioactive Compounds and Antitumor Agents
  • Oncology top 10%
    • Inflammatory Biomarkers in Disease Prognosis
    • Cancer-related Molecular Pathways

Papers in

T. E. Witzig

12 papers receiving 1.5k citations

T. E. Witzig's Hit Papers

Targeting Apoptosis Pathways in Cancer Therapy 2005 · 1.2k citations
1.2k0+7+14Years since publication2505007501000

Peers

T. E. Witzig
Comparison fields: 5 of 100
  • Toxicology 75
  • Oncology 384
  • Cancer Research 165
  • Molecular Biology 816
  • Pathology and Forensic Medicine 186
Replace Narges Baluch with:
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Tina S. Homayouni Canada
Ajita Singh United States
Jana Jakubı́ková Slovakia
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Alessia Garufi Italy
Soley Bayraktar United States
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Citations per field
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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

13 of 13 papers shown
#Work
1
Targeting Apoptosis Pathways in Cancer Therapy
Hit paper breakdown →
20051175
2 2011166
3 200992
4
Induction of apoptosis in malignant B cells by phenylbutyrate or phenylacetate in combination with chemotherapeutic agents.
200043
5 201636
6 199127
7 199612
8 200312
9
Zevalin radioimmunotherapy is not associated with significant or prolonged depletion of t cells or natural killer cells
20003
10 20191
11 20091
12 20041
13 20061

About T. E. Witzig

T. E. Witzig is a scholar working on Pathology and Forensic Medicine, Oncology, Molecular Biology, Genetics and Hematology, having authored 13 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (5 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cell death mechanisms and regulation (2 papers), Cancer-related Molecular Pathways (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Lung Cancer Treatments and Mutations (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Toxicology (75 citations), Oncology (384 citations), Cancer Research (165 citations), Molecular Biology (816 citations) and Pathology and Forensic Medicine (186 citations). T. E. Witzig has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Alex A. Adjei, Irene M. Ghobrial, Thomas M. Habermann, Kay M. Ristow, Joseph P. Colgan, S. N. Markovic, G. S. Nowakowski, Steven M. Ansell, Luis F. Porrata and Ivana N. Micallef. Their work appears in journals such as Journal of Clinical Oncology, European Journal Of Haematology, CA A Cancer Journal for Clinicians, HemaSphere and Haematologica.

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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