Mark S. Nanes

5.6k citations
79 papers · 4.4k indexed · h-index 35

Impact in

Papers in

Mark S. Nanes

78 papers receiving 4.3k citations

Peers

Mark S. Nanes
Comparison fields: 5 of 122
  • Orthopedics and Sports Medicine 1.0k
  • Oncology 1.1k
  • Pathology and Forensic Medicine 695
  • Rheumatology 569
  • Molecular Biology 2.4k
Replace Barbara E. Kream with:
Barbara E. Kream United States
Yosuke Okada Japan
Xijie Yu China
Thomas Levin Andersen Denmark
Marina Stolina United States
Atsushi Shioi Japan
John L. Fowlkes United States
Joseph Lorenzo United States
Xu Feng United States
Addolorata Corrado Italy
Mark S. Nanes relative to Barbara E. Kream United States Barbara E. Kream's profile →
Citations per field
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Barbara E. Kream · 1×
Citations per year

Countries citing papers authored by Mark S. Nanes

Since Specialization
Citations

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

Fields of papers citing papers by Mark S. Nanes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark S. Nanes. 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 Mark S. Nanes. The network helps show where Mark S. Nanes may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark S. Nanes, 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 Mark S. Nanes Line = papers co-authored together Mark S. Nanes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202013
2 201734
3 201445
4 20135
5 20118
6 2010119
7 2009137
8 200923
9 2008166
10 200615
11 2006120
12 200395
13 200321
14 200351
15 199819
16 199885
17 19964
18 19934
19 19920
20 19895

About Mark S. Nanes

Mark S. Nanes is a scholar working on Orthopedics and Sports Medicine, Oncology, Pathology and Forensic Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 79 papers that have together received 4.4k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (34 papers), Bone health and treatments (26 papers), Vitamin D Research Studies (17 papers), Bone health and osteoporosis research (12 papers), TGF-β signaling in diseases (8 papers), Estrogen and related hormone effects (7 papers), Reproductive System and Pregnancy (6 papers) and Cytokine Signaling Pathways and Interactions (5 papers). The work is most often cited by research in Orthopedics and Sports Medicine (1.0k citations), Oncology (1.1k citations), Pathology and Forensic Medicine (695 citations), Rheumatology (569 citations) and Molecular Biology (2.4k citations). Mark S. Nanes has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Janet Rubin, Linda Gilbert, Xiaofei He, Paul Farmer, Scott D. Boden, Louisa Titus, Xian Fan, Tamara C. Murphy, Xianghuai Lu and Vin Tangpricha. Their work appears in journals such as Endocrinology, The American Journal of the Medical Sciences, Journal of Bone and Mineral Research, Journal of Biological Chemistry and The Journal of Clinical Endocrinology & Metabolism.

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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