Steve Muñoz
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Oncology top 10%
- Bone health and treatments
- Peptidase Inhibition and Analysis
- Cancer Diagnosis and Treatment
Papers in
- Oncology 6
- Chemokine receptors and signaling 2
- Peptidase Inhibition and Analysis 2
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- Ubiquitin and proteasome pathways 3
- Co-authors
- Gregory R. Mundy (6 shared papers)Anjana Gupta (5 shared papers)Babatunde O. Oyajobi (6 shared papers)Ming Zhao (3 shared papers)Julie A. Sterling (3 shared papers)Barry G. Grubbs (4 shared papers)Paul J. Williams (3 shared papers)Beryl Story (2 shared papers)
- Journals
- Journal of Bone and Mineral Research (2 papers)Bone (1 paper)Molecular Cancer Therapeutics (1 paper)British Journal of Haematology (1 paper)Blood (1 paper)
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Steve Muñoz
10 papers receiving 709 citations
Peers
Comparison fields: 5 of 70
- Hematology 198
- Oncology 399
- Psychiatry and Mental health 90
- Orthopedics and Sports Medicine 50
- Radiology, Nuclear Medicine and Imaging 88
Countries citing papers authored by Steve Muñoz
This map shows the geographic impact of Steve Muñoz'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 Steve Muñoz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Muñoz more than expected).
Fields of papers citing papers by Steve Muñoz
This network shows the impact of papers produced by Steve Muñoz. 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 Steve Muñoz. The network helps show where Steve Muñoz may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve Muñoz, 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 | 2003 | 173 | |
| 2 | 2012 | 159 | |
| 3 | 2006 | 118 | |
| 4 | 2007 | 85 | |
| 5 | 2009 | 64 | |
| 6 | 2007 | 52 | |
| 7 | 2010 | 51 | |
| 8 | 2015 | 12 | |
| 9 | The Longevity Gene SIRT-1 Independently Controls Both Osteoblast and Osteoclast Function | 2008 | 7 |
| 10 | Lithium inhibits the development of myeloma bone disease in vivo. | 2006 | 3 |
About Steve Muñoz
Steve Muñoz is a scholar working on Oncology, Molecular Biology, Hematology, Surgery and Organic Chemistry, having authored 10 papers that have together received 724 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Ubiquitin and proteasome pathways (3 papers), Chemokine receptors and signaling (2 papers), Peptidase Inhibition and Analysis (2 papers), Estrogen and related hormone effects (1 paper), Management of metastatic bone disease (1 paper), Synthesis and pharmacology of benzodiazepine derivatives (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Hematology (198 citations), Oncology (399 citations), Psychiatry and Mental health (90 citations), Orthopedics and Sports Medicine (50 citations) and Radiology, Nuclear Medicine and Imaging (88 citations). Steve Muñoz has collaborated with scholars based in United States, India and France. Frequent co-authors include Gregory R. Mundy, Anjana Gupta, Babatunde O. Oyajobi, Ming Zhao, Julie A. Sterling, Barry G. Grubbs, Paul J. Williams, Beryl Story, Di Chen and Barbara Sherry. Their work appears in journals such as Journal of Bone and Mineral Research, Bone, Molecular Cancer Therapeutics, British Journal of Haematology 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.