C. De Wolf‐Peeters
Impact in
-
- Lymphoma Diagnosis and Treatment
- Hematology top 2%
- Acute Myeloid Leukemia Research
Papers in
-
- Lymphoma Diagnosis and Treatment 23
- Genetics 14
- Chronic Lymphocytic Leukemia Research 13
- Co-authors
- Joost J. van den OordValeer DesmetGuido TricotR. L. VerwilghenHerman Van den BergheG. VerhoefV. DesmetIvo Brosens
- Journals
- Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (6 papers)The American Journal of Surgical Pathology (4 papers)Experimental and Molecular Pathology (3 papers)British Journal of Haematology (3 papers)Annals of Oncology (3 papers)
- Partner nations
- BelgiumUnited StatesItaly
In The Last Decade
C. De Wolf‐Peeters
76 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 92
- Pathology and Forensic Medicine 1.0k
- Hematology 533
- Genetics 490
- Oncology 821
- Immunology 595
Countries citing papers authored by C. De Wolf‐Peeters
This map shows the geographic impact of C. De Wolf‐Peeters'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 C. De Wolf‐Peeters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. De Wolf‐Peeters more than expected).
Fields of papers citing papers by C. De Wolf‐Peeters
This network shows the impact of papers produced by C. De Wolf‐Peeters. 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 C. De Wolf‐Peeters. The network helps show where C. De Wolf‐Peeters may publish in the future.
Co-authors
The 25 scholars most cited alongside C. De Wolf‐Peeters, 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 | 2013 | 90 | |
| 2 | 2006 | 9 | |
| 3 | 2002 | 317 | |
| 4 | 2002 | 60 | |
| 5 | 2001 | 22 | |
| 6 | 2000 | 8 | |
| 7 | 2000 | 13 | |
| 8 | 1999 | 17 | |
| 9 | Prognostic significance of nm23-protein expression in malignant melanoma | 1997 | 1 |
| 10 | 1994 | 62 | |
| 11 | 1994 | 17 | |
| 12 | 1991 | 34 | |
| 13 | 1991 | 3 | |
| 14 | 1991 | 6 | |
| 15 | 1990 | 71 | |
| 16 | 1988 | 16 | |
| 17 | 1987 | 19 | |
| 18 | 1985 | 22 | |
| 19 | 1983 | 39 | |
| 20 | 1975 | 30 |
About C. De Wolf‐Peeters
C. De Wolf‐Peeters is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Dermatology and Immunology, having authored 78 papers that have together received 2.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (23 papers), Chronic Lymphocytic Leukemia Research (13 papers), Viral-associated cancers and disorders (12 papers), Histiocytic Disorders and Treatments (6 papers), Immunotherapy and Immune Responses (6 papers), CNS Lymphoma Diagnosis and Treatment (5 papers), Neonatal Health and Biochemistry (5 papers) and Cutaneous lymphoproliferative disorders research (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.0k citations), Hematology (533 citations), Genetics (490 citations), Oncology (821 citations) and Immunology (595 citations). C. De Wolf‐Peeters has collaborated with scholars based in Belgium, United States and Italy. Frequent co-authors include Joost J. van den Oord, Valeer Desmet, Guido Tricot, R. L. Verwilghen, Herman Van den Berghe, G. Verhoef, V. Desmet, Ivo Brosens, Frank de Wolf and M. Boogaerts. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, The American Journal of Surgical Pathology, Experimental and Molecular Pathology, British Journal of Haematology and Annals of Oncology.
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.