Mark Knapp
Impact in
-
- Lymphoma Diagnosis and Treatment
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Lymphoma Diagnosis and Treatment 11
- Genetics 7
- Chronic Lymphocytic Leukemia Research 7
- Co-authors
- André Goy (5 shared papers)Jutta K. Neuenburg (5 shared papers)Sven de Vos (6 shared papers)Darrin M. Beaupre (5 shared papers)Jerry Ping (3 shared papers)Dipti Patel‐Donnelly (5 shared papers)Shaker R. Dakhil (4 shared papers)Maria Delioukina (2 shared papers)
- Journals
- Blood (8 papers)Journal of Clinical Oncology (7 papers)Cancer Investigation (1 paper)British Journal of Haematology (1 paper)Journal of Thoracic Oncology (1 paper)
- Partner nations
- United StatesChinaSaudi Arabia
In The Last Decade
Mark Knapp
20 papers receiving 406 citations
Peers
Comparison fields: 5 of 37
- Pathology and Forensic Medicine 237
- Genetics 118
- Oncology 192
- Hematology 31
- Dermatology 24
Countries citing papers authored by Mark Knapp
This map shows the geographic impact of Mark Knapp'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 Knapp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Knapp more than expected).
Fields of papers citing papers by Mark Knapp
This network shows the impact of papers produced by Mark Knapp. 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 Knapp. The network helps show where Mark Knapp may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Knapp, 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 | 2019 | 90 | |
| 2 | 2009 | 78 | |
| 3 | 2019 | 61 | |
| 4 | 2015 | 25 | |
| 5 | 2002 | 24 | |
| 6 | 2020 | 21 | |
| 7 | 2008 | 21 | |
| 8 | 2005 | 16 | |
| 9 | 2014 | 12 | |
| 10 | 2009 | 12 | |
| 11 | 2006 | 11 | |
| 12 | 2016 | 7 | |
| 13 | 2015 | 7 | |
| 14 | 2016 | 6 | |
| 15 | 2016 | 6 | |
| 16 | 2006 | 4 | |
| 17 | 2015 | 4 | |
| 18 | 2008 | 3 | |
| 19 | 2004 | 2 | |
| 20 | 2004 | 2 |
About Mark Knapp
Mark Knapp is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 412 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (11 papers), Chronic Lymphocytic Leukemia Research (7 papers), Lung Cancer Treatments and Mutations (5 papers), Lung Cancer Research Studies (4 papers), Cancer therapeutics and mechanisms (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (237 citations), Genetics (118 citations), Oncology (192 citations), Hematology (31 citations) and Dermatology (24 citations). Mark Knapp has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include André Goy, Jutta K. Neuenburg, Sven de Vos, Darrin M. Beaupre, Jerry Ping, Dipti Patel‐Donnelly, Shaker R. Dakhil, Maria Delioukina, Mansoor N. Saleh and Robert J. Belt. Their work appears in journals such as Blood, Journal of Clinical Oncology, Cancer Investigation, British Journal of Haematology and Journal of Thoracic 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.