Maike de Wit

16.9k citations
91 papers · 2.6k · h-index 26

Impact in

Papers in

    • Cancer Immunotherapy and Biomarkers 13
    • Cancer survivorship and care 5
    • Cancer Treatment and Pharmacology 5
    • Lung Cancer Treatments and Mutations 9
    • Sarcoma Diagnosis and Treatment 5

Maike de Wit

87 papers receiving 2.5k citations

Peers

Maike de Wit
Comparison fields: 5 of 100
  • Pathology and Forensic Medicine 639
  • Oncology 782
  • Gastroenterology 137
  • Neurology 365
  • Pulmonary and Respiratory Medicine 659
Replace Bouthaina S. Dabaja with:
Bouthaina S. Dabaja United States
Bruno Märkl Germany
Baruch Brenner Israel
Elo Andersen Denmark
Bhaskar N. Rao United States
Woodrow Wells Canada
Massimo Magagnoli Italy
James A. Strauchen United States
Antonio Salar Spain
Frederick B. Ruymann United States
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Citations per field
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Citations per year

Countries citing papers authored by Maike de Wit

Since Specialization
Citations

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

Fields of papers citing papers by Maike de Wit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maike de Wit. 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 Maike de Wit. The network helps show where Maike de Wit may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003298
2 2007162
3 2013140
4 1997135
5 2005128
6 2019121
7 2001109
8 2008101
9 200699
10 200591
11 201090
12 200675
13 202171
14
Multicenter comparison of calibration and cross calibration of PET scanners.
200265
15 201465
16 201361
17 200855
18 200351
19 200847
20 199944

About Maike de Wit

Maike de Wit is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Surgery, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health, having authored 91 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (13 papers), Testicular diseases and treatments (9 papers), Lung Cancer Treatments and Mutations (9 papers), Lymphoma Diagnosis and Treatment (8 papers), Acute Lymphoblastic Leukemia research (5 papers), Cancer survivorship and care (5 papers), Sarcoma Diagnosis and Treatment (5 papers) and Cancer Treatment and Pharmacology (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (639 citations), Oncology (782 citations), Gastroenterology (137 citations), Neurology (365 citations) and Pulmonary and Respiratory Medicine (659 citations). Maike de Wit has collaborated with scholars based in Germany, United States and Türkiye. Frequent co-authors include Carsten Bokemeyer, Karin Oechsle, M. Clausen, Dieter K. Hossfeld, D. Bumann, Ralph Buchert, Roland Bares, Andreas Engert, Winfried Brenner and Richard Herrmann. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Supportive Care in Cancer, Journal of Cancer Research and Clinical Oncology 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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