Pamela Fall
Impact in
-
- Bone health and osteoporosis research
- Pharmacology top 5%
- Inflammatory mediators and NSAID effects
Papers in
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- Bone Metabolism and Diseases 6
- TGF-β signaling in diseases 4
- Oncology 11
- Bone health and treatments 9
- Co-authors
- Lawrence G. Raisz (22 shared papers)L G Raisz (3 shared papers)Carol C. Pilbeam (3 shared papers)Barbara E. Kream (4 shared papers)Pamela Taxel (7 shared papers)Cynthia Alander (2 shared papers)Jenneke Klein‐Nulend (2 shared papers)Florence N. Woodiel (1 shared paper)
- Journals
- Endocrinology (6 papers)Journal of Bone and Mineral Research (5 papers)Osteoporosis International (3 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)Endocrine Research (2 papers)
- Partner nations
- United StatesGermany
In The Last Decade
Pamela Fall
32 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 97
- Orthopedics and Sports Medicine 282
- Pharmacology 267
- Oncology 400
- Endocrinology, Diabetes and Metabolism 182
- Genetics 286
Countries citing papers authored by Pamela Fall
This map shows the geographic impact of Pamela Fall'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 Pamela Fall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pamela Fall more than expected).
Fields of papers citing papers by Pamela Fall
This network shows the impact of papers produced by Pamela Fall. 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 Pamela Fall. The network helps show where Pamela Fall may publish in the future.
Co-authors
The 25 scholars most cited alongside Pamela Fall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 177 | |
| 2 | 1993 | 150 | |
| 3 | 2001 | 96 | |
| 4 | 1993 | 95 | |
| 5 | 1996 | 61 | |
| 6 | 1997 | 59 | |
| 7 | 1991 | 57 | |
| 8 | 2014 | 56 | |
| 9 | 1994 | 55 | |
| 10 | 2013 | 54 | |
| 11 | 1990 | 52 | |
| 12 | 2000 | 50 | |
| 13 | 2002 | 40 | |
| 14 | 2010 | 38 | |
| 15 | 2000 | 37 | |
| 16 | 1993 | 37 | |
| 17 | 1990 | 36 | |
| 18 | 1994 | 32 | |
| 19 | 2002 | 31 | |
| 20 | 1989 | 25 |
About Pamela Fall
Pamela Fall is a scholar working on Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism, Genetics and Pharmacology, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bone health and treatments (9 papers), Estrogen and related hormone effects (8 papers), Inflammatory mediators and NSAID effects (7 papers), Bone health and osteoporosis research (7 papers), Bone Metabolism and Diseases (6 papers), Menopause: Health Impacts and Treatments (4 papers), TGF-β signaling in diseases (4 papers) and Folate and B Vitamins Research (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (282 citations), Pharmacology (267 citations), Oncology (400 citations), Endocrinology, Diabetes and Metabolism (182 citations) and Genetics (286 citations). Pamela Fall has collaborated with scholars based in United States and Germany. Frequent co-authors include Lawrence G. Raisz, L G Raisz, Carol C. Pilbeam, Barbara E. Kream, Pamela Taxel, Cynthia Alander, Jenneke Klein‐Nulend, Florence N. Woodiel, Hollis A. Simmons and Alice Willard. Their work appears in journals such as Endocrinology, Journal of Bone and Mineral Research, Osteoporosis International, The Journal of Clinical Endocrinology & Metabolism and Endocrine Research.
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.