Marc De Waele
- Immunology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Oncology
- Physiology top 10%
- Hematology top 5%
- Co-authors
- C ThielemansDe Yun WangTony MetsIvan BautmansOscar Okwudiri OnyemaRose NjeminiJohan SmitzKristin Jochmans
- Topics
- Monoclonal and Polyclonal Antibodies Research (6 papers)Immune Cell Function and Interaction (6 papers)Immunotherapy and Immune Responses (5 papers)
- Partner nations
- BelgiumFranceUnited States
In The Last Decade
Marc De Waele
38 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 100
- Immunology 429
- Pulmonary and Respiratory Medicine 234
- Oncology 222
- Physiology 216
- Hematology 213
Countries citing papers authored by Marc De Waele
This map shows the geographic impact of Marc De Waele'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 Marc De Waele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc De Waele more than expected).
Fields of papers citing papers by Marc De Waele
This network shows the impact of papers produced by Marc De Waele. 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 Marc De Waele. The network helps show where Marc De Waele may publish in the future.
Co-authorship network of co-authors of Marc De Waele
This figure shows the co-authorship network connecting the top 25 collaborators of Marc De Waele. A scholar is included among the top collaborators of Marc De Waele based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marc De Waele. Marc De Waele is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | Chemotherapy-induced changes and immunosenescence of CD8+ T-cells in patients with breast cancer. | 58 |
| 3 | 31 | |
| 4 | 21 | |
| 5 | 25 | |
| 6 | 14 | |
| 7 | 43 | |
| 8 | 42 | |
| 9 | 15 | |
| 10 | 11 | |
| 11 | A systemic inflammatory response involving C-Reactive Protein, Interleukin-6, Interleukin-8 and Tumor Necrosis Factor-alpha contributes to the development of hepatic veno-occlusive disease after allogeneic bone marrow transplantation. | 1 |
| 12 | 105 | |
| 13 | 6 | |
| 14 | 27 | |
| 15 | 9 | |
| 16 | 9 | |
| 17 | 77 | |
| 18 | 27 | |
| 19 | 57 | |
| 20 | 221 |
About Marc De Waele
Marc De Waele is a scholar working on Immunology and Allergy, Hematology and Immunology, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Immune Cell Function and Interaction (6 papers) and Immunotherapy and Immune Responses (5 papers). The work is most often cited by research in Immunology (429 citations), Immunology and Allergy (121 citations) and Hematology (213 citations). Marc De Waele has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include C Thielemans, De Yun Wang, Tony Mets, Ivan Bautmans, Oscar Okwudiri Onyema, Rose Njemini, Johan Smitz, Kristin Jochmans, Hugo D’Haenen and Josée E. Leysen. Their work appears in journals such as New England Journal of Medicine, Blood and The Journal of Immunology.
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.