Eva L. Ribom

36 papers receiving 1.1k citations

Peers

Eva L. Ribom
Comparison fields: 5 of 72
  • Orthopedics and Sports Medicine 301
  • Physical Therapy, Sports Therapy and Rehabilitation 102
  • Physiology 404
  • Geriatrics and Gerontology 42
  • Surgery 186
Replace Natalie K. Hyde with:
Natalie K. Hyde Australia
Jesse Zanker Australia
Fulvia Vallero Italy
Catherine Mary Arnold Canada
Timothy Streeper United States
Steven L. Watson Australia
Miguel Soares Conceição Brazil
Jesse W. Muir United States
Akihiko Saika Japan
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Citations per year

Countries citing papers authored by Eva L. Ribom

Since Specialization
Citations

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

Fields of papers citing papers by Eva L. Ribom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva L. Ribom. 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 Eva L. Ribom. The network helps show where Eva L. Ribom may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020178
2 2008118
3 2010101
4 201896
5 202362
6 202060
7 202047
8 200245
9 201240
10 200332
11 201230
12 201029
13 201827
14 200323
15 200823
16 200823
17 200413
18 200513
19 201313
20 201813

About Eva L. Ribom

Eva L. Ribom is a scholar working on Orthopedics and Sports Medicine, Physical Therapy, Sports Therapy and Rehabilitation, Physiology, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bone health and osteoporosis research (9 papers), Nutrition and Health in Aging (9 papers), Balance, Gait, and Falls Prevention (7 papers), Vitamin D Research Studies (4 papers), Hip and Femur Fractures (3 papers), Body Composition Measurement Techniques (3 papers), Menopause: Health Impacts and Treatments (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (301 citations), Physical Therapy, Sports Therapy and Rehabilitation (102 citations), Physiology (404 citations), Geriatrics and Gerontology (42 citations) and Surgery (186 citations). Eva L. Ribom has collaborated with scholars based in Sweden, United States and Hong Kong. Frequent co-authors include Östen Ljunggren, Hans Mallmin, Dan Mellström, Magnus K. Karlsson, Claes Ohlsson, Elin Grundberg, Björn E. Rosengren, ERIC S. ORWOLL, Karin Piehl‐Aulin and Sver­ker Ljunghall. Their work appears in journals such as Age and Ageing, Journal of Bone and Mineral Research, Journal of the American Geriatrics Society, Archives of Gerontology and Geriatrics and Maturitas.

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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