Steve A. Munoz

887 citations
10 papers · 739 · h-index 8

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

    • Multiple Myeloma Research and Treatments 5
    • Chemokine receptors and signaling 2
    • Peptidase Inhibition and Analysis 2

Steve A. Munoz

10 papers receiving 723 citations

Peers

Steve A. Munoz
Comparison fields: 5 of 70
  • Hematology 206
  • Oncology 404
  • Psychiatry and Mental health 93
  • Orthopedics and Sports Medicine 50
  • Radiology, Nuclear Medicine and Imaging 89
Replace Dag Josefsen with:
Dag Josefsen Norway
Kiyoshi Yokokawa Japan
James A. Schiro United States
Mary A. Georger United States
Alyson Morse Australia
Amit Singh Germany
Jenny Kruegel Germany
Jochen Grassinger Germany
Heather A. O’Leary United States
Travis E. Monnell United States
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Citations per field
00.5×2×4×6×7.1×
Dag Josefsen · 1×
Citations per year

Countries citing papers authored by Steve A. Munoz

Since Specialization
Citations

This map shows the geographic impact of Steve A. Munoz'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 A. Munoz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve A. Munoz more than expected).

Fields of papers citing papers by Steve A. Munoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve A. Munoz. 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 A. Munoz. The network helps show where Steve A. Munoz may publish in the future.

Co-authors

The 25 scholars most cited alongside Steve A. Munoz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Steve A. Munoz Line = papers co-authored together Steve A. Munoz links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2003174
2 2012164
3 2006117
4 200789
5 200965
6 200757
7 201051
8 201512
9
The Longevity Gene SIRT-1 Independently Controls Both Osteoblast and Osteoclast Function
20087
10
Lithium inhibits the development of myeloma bone disease in vivo.
20063

About Steve A. Munoz

Steve A. Munoz is a scholar working on Hematology, Oncology, Geriatrics and Gerontology, Physiology and Molecular Biology, having authored 10 papers that have together received 739 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), Cell Adhesion Molecules Research (1 paper), Bone health and osteoporosis research (1 paper), Management of metastatic bone disease (1 paper) and dental development and anomalies (1 paper). The work is most often cited by research in Hematology (206 citations), Oncology (404 citations), Psychiatry and Mental health (93 citations), Orthopedics and Sports Medicine (50 citations) and Radiology, Nuclear Medicine and Imaging (89 citations). Steve A. Munoz has collaborated with scholars based in United States, France and India. Frequent co-authors include Gregory R. Mundy, Babatunde O. Oyajobi, Anjana Gupta, Ming Zhao, Julie A. Rhoades Sterling, Barry G. Grubbs, Paul J. Williams, Beryl M. Story, Giovanni Franchin and Di Chen. Their work appears in journals such as Journal of Bone and Mineral Research, Oncotarget, PLoS Biology, Cancer Research and Bone.

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.

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