Dana Gaddy

3.4k citations
74 papers · 2.6k indexed · h-index 26

Impact in

Papers in

Dana Gaddy

72 papers receiving 2.5k citations

Peers

Dana Gaddy
Comparison fields: 5 of 113
  • Orthopedics and Sports Medicine 454
  • Oncology 785
  • Molecular Biology 1.4k
  • Endocrinology, Diabetes and Metabolism 230
  • Rheumatology 205
Replace Yanan Li with:
Yanan Li China
Fei‐Yan Deng China
Marie K. Lagerquist Sweden
William P. Cawthorn United Kingdom
Naokazu Nagata Japan
Yongmei Wang United States
J. Patrick O’Connor United States
Jih‐Yang Ko Taiwan
Hashem Elalieh United States
Xian Fan United States
Dana Gaddy relative to Yanan Li China Yanan Li's profile →
Citations per field
00.5×1.5×1.8×
Yanan Li · 1×
Citations per year

Countries citing papers authored by Dana Gaddy

Since Specialization
Citations

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

Fields of papers citing papers by Dana Gaddy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20231
3 20224
4 20225
5 201711
6
Degenerative Tissue Responses to Space-like Radiation Doses in a Rodent Model of Simulated Microgravity.
201612
7 20167
8 201525
9 201532
10 201238
11 201149
12 20102
13 20089
14 200683
15 200685
16 2006106
17 200642
18 200413
19 2003330
20 200390

About Dana Gaddy

Dana Gaddy is a scholar working on Orthopedics and Sports Medicine, Equine, Oncology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 74 papers that have together received 2.6k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (15 papers), Bone health and treatments (12 papers), Bone health and osteoporosis research (11 papers), Muscle Physiology and Disorders (7 papers), Spaceflight effects on biology (7 papers), Connective tissue disorders research (7 papers), Adipose Tissue and Metabolism (7 papers) and Muscle metabolism and nutrition (6 papers). The work is most often cited by research in Orthopedics and Sports Medicine (454 citations), Oncology (785 citations), Molecular Biology (1.4k citations), Endocrinology, Diabetes and Metabolism (230 citations) and Rheumatology (205 citations). Dana Gaddy has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Larry J. Suva, Donna Montague, Nisreen Akel, Manali Bendre, Beata Lecka‐Czernik, Sylwia Rzońca, Daniel S. Perrien, Esther E. Dupont‐Versteegden, Kristy M. Nicks and Tristan W. Fowler. Their work appears in journals such as Bone, Biology of Reproduction, Journal of Bone and Mineral Research, Current Osteoporosis Reports and Endocrinology.

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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