Dan Ayers
Impact in
- Hematology top 0.2%
- Multiple Myeloma Research and Treatments
- Oncology top 2%
- Cancer Treatment and Pharmacology
- Peptidase Inhibition and Analysis
Papers in
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- Protein Degradation and Inhibitors 2
-
- Multiple Myeloma Research and Treatments 4
- Co-authors
- Raman Desikan (4 shared papers)Elias Anaissie (4 shared papers)Nikhil C. Munshi (4 shared papers)Bart Barlogie (4 shared papers)Jerome B. Zeldis (2 shared papers)John Crowley (3 shared papers)David S. Siegel (3 shared papers)Paula K. Roberson (3 shared papers)
- Journals
- Blood (3 papers)International Journal of Radiation Oncology*Biology*Physics (2 papers)Journal of Pediatric Surgery (1 paper)New England Journal of Medicine (1 paper)Molecular Imaging and Biology (1 paper)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Dan Ayers
10 papers receiving 2.7k citations
Dan Ayers's Hit Papers
Peers
Comparison fields: 5 of 86
- Hematology 2.0k
- Oncology 978
- Genetics 316
- Molecular Biology 1.6k
- Internal Medicine 44
Countries citing papers authored by Dan Ayers
This map shows the geographic impact of Dan Ayers'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 Dan Ayers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Ayers more than expected).
Fields of papers citing papers by Dan Ayers
This network shows the impact of papers produced by Dan Ayers. 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 Dan Ayers. The network helps show where Dan Ayers may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Ayers, 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 | Antitumor Activity of Thalidomide in Refractory Multiple Myeloma Hit paper breakdown → | 1999 | 1972 |
| 2 | 2001 | 418 | |
| 3 | 2000 | 242 | |
| 4 | Suppression of tumorigenesis and induction of p15(ink4b) by Smad4/DPC4 in human pancreatic cancer cells. | 2002 | 52 |
| 5 | 2016 | 41 | |
| 6 | 1995 | 29 | |
| 7 | 2009 | 26 | |
| 8 | 2000 | 15 | |
| 9 | 1991 | 4 | |
| 10 | 1992 | 1 |
About Dan Ayers
Dan Ayers is a scholar working on Molecular Biology, Hematology, Pulmonary and Respiratory Medicine, Immunology and Hepatology, having authored 10 papers that have together received 2.8k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (4 papers), Immunotherapy and Immune Responses (2 papers), Protein Degradation and Inhibitors (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Pharmacogenetics and Drug Metabolism (1 paper), Pharmacological Effects and Toxicity Studies (1 paper) and Epilepsy research and treatment (1 paper). The work is most often cited by research in Hematology (2.0k citations), Oncology (978 citations), Genetics (316 citations), Molecular Biology (1.6k citations) and Internal Medicine (44 citations). Dan Ayers has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Raman Desikan, Elias Anaissie, Nikhil C. Munshi, Bart Barlogie, Jerome B. Zeldis, John Crowley, David S. Siegel, Paula K. Roberson, Jayesh Mehta and Madhav V. Dhodapkar. Their work appears in journals such as Blood, International Journal of Radiation Oncology*Biology*Physics, Journal of Pediatric Surgery, New England Journal of Medicine and Molecular Imaging and Biology.
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.