David Andrew Green

30 papers receiving 255 citations

Peers

David Andrew Green
Comparison fields: 5 of 63
  • Physiology 175
  • Orthopedics and Sports Medicine 23
  • Occupational Therapy 9
  • Developmental Neuroscience 8
  • Genetics 53
Replace Filippo Castrucci with:
Filippo Castrucci Italy
James Locke United States
L. Christine Ribeiro United States
Kathryn Zuj France
Ulf I Balldin United States
L. E. Warren United States
Tanja Miokovic Germany
Katelyn Burkhart United States
Jennifer Law United States
Conor W. O’Neill United States
David Andrew Green relative to Filippo Castrucci Italy Filippo Castrucci's profile →
Citations per field
00.5×4.4×
Filippo Castrucci · 1×
Citations per year

Countries citing papers authored by David Andrew Green

Since Specialization
Citations

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

Fields of papers citing papers by David Andrew Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Andrew Green. 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 David Andrew Green. The network helps show where David Andrew Green may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201940
2 202139
3 202034
4 201628
5 202113
6 202410
7 20219
8 20209
9 20229
10 20228
11 20238
12 20117
13 20225
14 20234
15 20224
16 20224
17 20084
18 20144
19 20064
20 20243

About David Andrew Green

David Andrew Green is a scholar working on Physiology, Pulmonary and Respiratory Medicine, Genetics, Aerospace Engineering and Pharmacology, having authored 32 papers that have together received 265 indexed citations. Recurring topics across this work include Spaceflight effects on biology (21 papers), High Altitude and Hypoxia (5 papers), Space Exploration and Technology (5 papers), Cardiovascular and Diving-Related Complications (4 papers), Musculoskeletal pain and rehabilitation (4 papers), Muscle Physiology and Disorders (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers) and Myofascial pain diagnosis and treatment (2 papers). The work is most often cited by research in Physiology (175 citations), Orthopedics and Sports Medicine (23 citations), Occupational Therapy (9 citations), Developmental Neuroscience (8 citations) and Genetics (53 citations). David Andrew Green has collaborated with scholars based in United Kingdom, Germany and Switzerland. Frequent co-authors include Marlou L. Dirks, Nicola A. Maffiuletti, Marco Aurélio Vaz, Timo Frett, Lucia Mazzolai, Tobias Weber, Jens Jordan, Sergi Vaquer, Uwe Tegtbur and Nandu Goswami. Their work appears in journals such as Frontiers in Physiology, npj Microgravity, PLoS ONE, Clinical Autonomic Research and Microgravity Science and Technology.

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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