Mark DeWitte

1.5k citations
23 papers · 1.3k · h-index 14

Impact in

  • Oncology top 5%
    • CAR-T cell therapy research
    • HER2/EGFR in Cancer Research
    • Cancer Immunotherapy and Biomarkers
  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune cells in cancer

Papers in

    • CAR-T cell therapy research 4
    • HER2/EGFR in Cancer Research 2
    • Acute Myeloid Leukemia Research 4
    • Multiple Myeloma Research and Treatments 3
    • Chronic Myeloid Leukemia Treatments 2

Mark DeWitte

23 papers receiving 1.2k citations

Peers

Mark DeWitte
Comparison fields: 5 of 94
  • Oncology 582
  • Immunology 407
  • Hematology 127
  • Radiology, Nuclear Medicine and Imaging 222
  • Cancer Research 97
Replace Debra Zack with:
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Citations per year

Countries citing papers authored by Mark DeWitte

Since Specialization
Citations

This map shows the geographic impact of Mark DeWitte'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 Mark DeWitte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark DeWitte more than expected).

Fields of papers citing papers by Mark DeWitte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark DeWitte. 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 Mark DeWitte. The network helps show where Mark DeWitte may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark DeWitte, 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 Mark DeWitte Line = papers co-authored together Mark DeWitte links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007205
2 2003169
3 2008150
4
A multicenter, phase II study of infliximab plus gemcitabine in pancreatic cancer cachexia.
2008124
5 2014112
6 2014103
7 2006100
8 201453
9 200444
10
The prognostic significance of patient-reported outcomes in pancreatic cancer cachexia.
200944
11 200143
12 200833
13 199420
14 200818
15 201211
16 199711
17 20159
18 20128
19 19976
20 20073

About Mark DeWitte

Mark DeWitte is a scholar working on Oncology, Hematology, Immunology, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include CAR-T cell therapy research (4 papers), Acute Myeloid Leukemia Research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Multiple Myeloma Research and Treatments (3 papers), Immune Cell Function and Interaction (2 papers), Nutrition and Health in Aging (2 papers), HER2/EGFR in Cancer Research (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Oncology (582 citations), Immunology (407 citations), Hematology (127 citations), Radiology, Nuclear Medicine and Imaging (222 citations) and Cancer Research (97 citations). Mark DeWitte has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Robert Corringham, Marian T. Nakada, Geoffrey M. Anderson, Yan Li, Susan Hoare, Frances R. Balkwill, Kellie A. Charles, Uma Prabhakar, Carla de Boer and John M. Lambert. Their work appears in journals such as Blood, Journal of Clinical Oncology, European Journal of Cancer, Toxicologic Pathology and Clinical Cancer Research.

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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