David A. Close

43 papers receiving 1.4k citations

Peers

David A. Close
Comparison fields: 5 of 117
  • Nature and Landscape Conservation 474
  • Aquatic Science 150
  • Ecology 489
  • Physiology 65
  • Behavioral Neuroscience 40
Replace Jianguo Lü with:
Jianguo Lü China
Serge Thomas France
Sven Klages Germany
Douglas J. Staples United States
Marco Saroglia Italy
Carol Bucking Canada
Bruce A. White United States
Sandro Tripepi Italy
Yukuto Sato Japan
James R. Stewart United States
David A. Close relative to Jianguo Lü China Jianguo Lü's profile →
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Citations per year

Countries citing papers authored by David A. Close

Since Specialization
Citations

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

Fields of papers citing papers by David A. Close

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002209
2 2015153
3 2012131
4 2004104
5 201072
6 201556
7 201455
8 200953
9 201352
10 201047
11 201643
12 201139
13 201837
14 200336
15 201529
16 201728
17 202226
18 201324
19 200323
20 201120

About David A. Close

David A. Close is a scholar working on Oncology, Molecular Biology, Genetics, Nature and Landscape Conservation and Ecology, having authored 44 papers that have together received 1.5k indexed citations. Recurring topics across this work include Fish Ecology and Management Studies (8 papers), Aquaculture Nutrition and Growth (6 papers), Cancer Cells and Metastasis (6 papers), 3D Printing in Biomedical Research (6 papers), Physiological and biochemical adaptations (5 papers), Reproductive biology and impacts on aquatic species (5 papers), Estrogen and related hormone effects (4 papers) and Aquaculture disease management and microbiota (4 papers). The work is most often cited by research in Nature and Landscape Conservation (474 citations), Aquatic Science (150 citations), Ecology (489 citations), Physiology (65 citations) and Behavioral Neuroscience (40 citations). David A. Close has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Martin S. Fitzpatrick, Hiram W. Li, Paul A. Johnston, Christian E. Torgersen, Sang‐Seon Yun, Margaret F. Docker, Nathan R. Campbell, Jon E. Hess, Shawn R. Narum and Weiming Li. Their work appears in journals such as SLAS DISCOVERY, Assay and Drug Development Technologies, General and Comparative Endocrinology, PLoS neglected tropical diseases and Proceedings of the National Academy of Sciences.

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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