Craig B. Reeder
- Hematology top 0.2%
- Multiple Myeloma Research and Treatments 57
- Genetics top 0.2%
- Chronic Lymphocytic Leukemia Research 55
- Myeloproliferative Neoplasms: Diagnosis and Treatment 12
- Pathology and Forensic Medicine top 0.2%
- Lymphoma Diagnosis and Treatment 63
- Oncology top 1%
- Cancer Treatment and Pharmacology 18
- Viral-associated cancers and disorders 11
- Dermatology top 1%
-
- Protein Degradation and Inhibitors 27
- PI3K/AKT/mTOR signaling in cancer 12
- Co-authors
- Thomas E. WitzigStephen M. AnsellBetsy LaPlantRafaël FonsecaJoseph MıkhaelA. Keith StewartThomas M. HabermannJerome B. Zeldis
- Journals
- New England Journal of Medicine (1 paper)Journal of Clinical Oncology (25 papers)Blood (58 papers)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Craig B. Reeder
137 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Hematology 2.5k
- Genetics 2.1k
- Pathology and Forensic Medicine 2.3k
- Oncology 2.3k
- Dermatology 354
Countries citing papers authored by Craig B. Reeder
This map shows the geographic impact of Craig B. Reeder'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 Craig B. Reeder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Craig B. Reeder more than expected).
Fields of papers citing papers by Craig B. Reeder
This network shows the impact of papers produced by Craig B. Reeder. 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 Craig B. Reeder. The network helps show where Craig B. Reeder may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Craig B. Reeder, 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 | 2023 | 0 | |
| 2 | 2021 | 2 | |
| 3 | 2020 | 107 | |
| 4 | 2018 | 11 | |
| 5 | 2018 | 6 | |
| 6 | 2017 | 110 | |
| 7 | 2015 | 83 | |
| 8 | 2014 | 268 | |
| 9 | 2013 | 61 | |
| 10 | 2013 | 13 | |
| 11 | 2012 | 269 | |
| 12 | 2011 | 35 | |
| 13 | 2011 | 44 | |
| 14 | 2011 | 300 | |
| 15 | 2011 | 77 | |
| 16 | 2010 | 102 | |
| 17 | Keys to Creating a Successful Online Course for Do-It-Yourselfers. | 2010 | 2 |
| 18 | 2010 | 254 | |
| 19 | Lenalidomide in the Myelodysplastic Syndrome with Chromosome 5q Deletionbreakdown → | 2006 | 893 |
| 20 | 1999 | 26 |
About Craig B. Reeder
Craig B. Reeder is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 142 papers that have together received 5.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (63 papers), Multiple Myeloma Research and Treatments (57 papers), Chronic Lymphocytic Leukemia Research (55 papers), Protein Degradation and Inhibitors (27 papers), Cancer Treatment and Pharmacology (18 papers), PI3K/AKT/mTOR signaling in cancer (12 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (12 papers) and Viral-associated cancers and disorders (11 papers). The work is most often cited by research in Hematology (2.5k citations), Genetics (2.1k citations) and Pathology and Forensic Medicine (2.3k citations). Craig B. Reeder has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Thomas E. Witzig, Stephen M. Ansell, Betsy LaPlant, Rafaël Fonseca, Joseph Mıkhael, A. Keith Stewart, Thomas M. Habermann, Jerome B. Zeldis, Ivana N. Micallef and Luis F. Porrata. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and Blood.
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.