Risa Kagan

3.3k citations
57 papers · 2.3k indexed · h-index 22

Impact in

Papers in

Risa Kagan

54 papers receiving 2.2k citations

Peers

Risa Kagan
Comparison fields: 5 of 102
  • Orthopedics and Sports Medicine 1.1k
  • Endocrinology, Diabetes and Metabolism 719
  • Oncology 848
  • Genetics 707
  • Pathology and Forensic Medicine 439
Replace John C. Stevenson with:
John C. Stevenson United Kingdom
T. J. de Villiers South Africa
D.M. Hart United Kingdom
Janez Preželj Slovenia
R.A. Hannon United Kingdom
F. Escobar‐Jiménez Spain
Harold N. Rosen United States
M C Evans New Zealand
D. M. Hart United Kingdom
Giuseppe Martini Italy
Risa Kagan relative to John C. Stevenson United Kingdom John C. Stevenson's profile →
Citations per field
00.5×6.1×
John C. Stevenson · 1×
Citations per year

Countries citing papers authored by Risa Kagan

Since Specialization
Citations

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

Fields of papers citing papers by Risa Kagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Risa Kagan. 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 Risa Kagan. The network helps show where Risa Kagan may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 202330
3 202030
4 20198
5 20199
6 20182
7 2018197
8 201845
9 20167
10 20164
11 201339
12 2010157
13 20108
14 200783
15 20065
16 2006105
17 200521
18 2005261
19 200444
20 200444

About Risa Kagan

Risa Kagan is a scholar working on Orthopedics and Sports Medicine, Endocrinology, Diabetes and Metabolism, Genetics, Pathology and Forensic Medicine and Oncology, having authored 57 papers that have together received 2.3k indexed citations. Recurring topics across this work include Menopause: Health Impacts and Treatments (33 papers), Estrogen and related hormone effects (27 papers), Bone health and osteoporosis research (20 papers), Phytoestrogen effects and research (12 papers), Bone health and treatments (10 papers), Bone Metabolism and Diseases (7 papers), Sexual function and dysfunction studies (5 papers) and Bone and Joint Diseases (4 papers). The work is most often cited by research in Orthopedics and Sports Medicine (1.1k citations), Endocrinology, Diabetes and Metabolism (719 citations), Oncology (848 citations), Genetics (707 citations) and Pathology and Forensic Medicine (439 citations). Risa Kagan has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include James H. Pickar, Xuezhi Jiang, Ginger D. Constantine, V. A. Levin, Anne E. de Papp, Sebastián Mirkin, Erluo Chen, John C. Gallagher, Robert S. Lindsay and Desmond Thompson. Their work appears in journals such as Menopause The Journal of The North American Menopause Society, Journal of Bone and Mineral Research, Climacteric, Obstetrical & Gynecological Survey and Obstetrics and Gynecology.

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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