David A. Good

3.0k citations
72 papers · 2.4k · h-index 29

Impact in

Papers in

David A. Good

71 papers receiving 2.2k citations

Peers

David A. Good
Comparison fields: 5 of 144
  • Ecological Modeling 300
  • Nature and Landscape Conservation 422
  • Global and Planetary Change 699
  • Paleontology 175
  • Ecology, Evolution, Behavior and Systematics 390
Replace Petr Heneberg with:
Petr Heneberg Czechia
David G. Barker France
Robert W. Henderson United States
Tian Zhao China
Dan Liang China
Christine Müller Germany
Qiang Dai China
Ian Williamson Australia
Elizabeth A. James Australia
Ya Yang China
David A. Good relative to Petr Heneberg Czechia Petr Heneberg's profile →
Citations per field
00.5×9.7×
Petr Heneberg · 1×
Citations per year

Countries citing papers authored by David A. Good

Since Specialization
Citations

This map shows the geographic impact of David A. Good'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. Good 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. Good more than expected).

Fields of papers citing papers by David A. Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996256
2
Geographic variation and speciation in the Torrent salamanders of the genus Rhyacotriton (Caudata: Rhyacotritonidae)
1992118
3 2007116
4 2000113
5 1997100
6 202097
7 201497
8 199684
9 200077
10 198970
11 200268
12 200265
13 201461
14 201259
15 201856
16 199752
17 200951
18 200448
19 202044
20 199639

About David A. Good

David A. Good is a scholar working on Global and Planetary Change, Genetics, Molecular Biology, Ecological Modeling and Ecology, Evolution, Behavior and Systematics, having authored 72 papers that have together received 2.4k indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (24 papers), Genetic diversity and population structure (13 papers), Species Distribution and Climate Change (11 papers), Animal and Plant Science Education (5 papers), Lepidoptera: Biology and Taxonomy (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Plant and animal studies (4 papers) and Cancer Research and Treatments (3 papers). The work is most often cited by research in Ecological Modeling (300 citations), Nature and Landscape Conservation (422 citations), Global and Planetary Change (699 citations), Paleontology (175 citations) and Ecology, Evolution, Behavior and Systematics (390 citations). David A. Good has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Wei Ming, J. V. Remsen, David B. Wake, Kevin de Queiroz, Aaron M. Bauer, Jozef Anné, Janine Kesting, Joanne T.E. Shaw, Asferd Mengesha and Mario Garcı́a-Parı́s. Their work appears in journals such as Copeia, Evidence-based Complementary and Alternative Medicine, Herpetological Monographs, The American Journal of Human Genetics and Molecular Ecology.

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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