Peter Grauman
Impact in
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
- Genetics top 2%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
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- Epigenetics and DNA Methylation 4
- Protein Degradation and Inhibitors 3
- Ubiquitin and proteasome pathways 2
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- Acute Myeloid Leukemia Research 4
- Multiple Myeloma Research and Treatments 3
- Co-authors
- Benjamin L. Ebert (9 shared papers)Marie McConkey (4 shared papers)Namrata D. Udeshi (3 shared papers)Monica Schenone (3 shared papers)Dirk Heckl (3 shared papers)Christie Ciarlo (3 shared papers)Emily C. Hartman (2 shared papers)Eamon Comer (3 shared papers)
- Journals
- Blood (6 papers)Nature Communications (1 paper)Clinical Chemistry (1 paper)PeerJ (1 paper)Science (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Peter Grauman
12 papers receiving 2.7k citations
Peter Grauman's Hit Papers
Peers
Comparison fields: 5 of 71
- Hematology 1.6k
- Genetics 455
- Molecular Biology 1.6k
- Oncology 522
- Cancer Research 227
Countries citing papers authored by Peter Grauman
This map shows the geographic impact of Peter Grauman'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 Peter Grauman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Grauman more than expected).
Fields of papers citing papers by Peter Grauman
This network shows the impact of papers produced by Peter Grauman. 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 Peter Grauman. The network helps show where Peter Grauman may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Grauman, 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 | Lenalidomide Causes Selective Degradation of IKZF1 and IKZF3 in Multiple Myeloma Cells Hit paper breakdown → | 2013 | 1311 |
| 2 | Acute myeloid leukemia ontogeny is defined by distinct somatic mutations Hit paper breakdown → | 2014 | 611 |
| 3 | Prognostic Mutations in Myelodysplastic Syndrome after Stem-Cell Transplantation Hit paper breakdown → | 2017 | 479 |
| 4 | 2014 | 138 | |
| 5 | 2017 | 90 | |
| 6 | 2018 | 47 | |
| 7 | 2019 | 27 | |
| 8 | 2018 | 16 | |
| 9 | 2017 | 15 | |
| 10 | 2012 | 3 | |
| 11 | 2013 | 2 | |
| 12 | 2016 | 1 | |
| 13 | 2015 | 0 |
About Peter Grauman
Peter Grauman is a scholar working on Molecular Biology, Hematology, Public Health, Environmental and Occupational Health, Genetics and Genetics, having authored 13 papers that have together received 2.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Epigenetics and DNA Methylation (4 papers), Protein Degradation and Inhibitors (3 papers), Multiple Myeloma Research and Treatments (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Ubiquitin and proteasome pathways (2 papers), Genomics and Rare Diseases (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Hematology (1.6k citations), Genetics (455 citations), Molecular Biology (1.6k citations), Oncology (522 citations) and Cancer Research (227 citations). Peter Grauman has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Benjamin L. Ebert, Marie McConkey, Namrata D. Udeshi, Monica Schenone, Dirk Heckl, Christie Ciarlo, Emily C. Hartman, Eamon Comer, Xiaoyu Li and Stuart L. Schreiber. Their work appears in journals such as Blood, Nature Communications, Clinical Chemistry, PeerJ and Science.
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.