Jeffrey M. Good

17.3k citations
88 papers · 6.0k indexed · 4 hit papers · h-index 36
Topics
Genetic diversity and population structure (35 papers)Wildlife Ecology and Conservation (17 papers)Genetic Mapping and Diversity in Plants and Animals (16 papers)

In The Last Decade

Jeffrey M. Good

86 papers receiving 5.8k citations

Hit Papers

Harnessing the power of RADseq for ecological and e...200920262014202020162010200920102505007501000

Peers

Jeffrey M. Good
Comparison fields: 5 of 153
  • Genetics 3.7k
  • Molecular Biology 2.0k
  • Ecology 1.7k
  • Ecology, Evolution, Behavior and Systematics 1.2k
  • Plant Science 781
Replace Jennifer A. Leonard with:
Jennifer A. Leonard United States
Giorgio Bertorelle Italy
Eric J. Routman United States
Greger Larson United Kingdom
Hernán A. Burbano Germany
Michael W. Bruford United Kingdom
Michael W. Nachman United States
Lounès Chikhi France
Axel Janke Germany
Phillip A. Morin United States
Jeffrey M. Good relative to Jennifer A. Leonard United States Jennifer A. Leonard's profile →
Citations per field
00.5×5.9×
Jennifer A. Leonard · 1×
Citations per year

Countries citing papers authored by Jeffrey M. Good

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey M. Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey M. Good

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey M. Good. A scholar is included among the top collaborators of Jeffrey M. Good based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeffrey M. Good. Jeffrey M. Good is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 0
4 1
5 7
6 7
7 16
8 5
9 3
10 4
11 20
12 6
13 10
14 17
15 41
16 17
17 32
18 5
19 92
20 64

About Jeffrey M. Good

Jeffrey M. Good is a scholar working on Genetics, Aging and Ecological Modeling, having authored 88 papers that have together received 6.0k indexed citations. Recurring topics across this work include Genetic diversity and population structure (35 papers), Wildlife Ecology and Conservation (17 papers) and Genetic Mapping and Diversity in Plants and Animals (16 papers). The work is most often cited by research in Ecological Modeling (574 citations), Genetics (3.7k citations) and Paleontology (607 citations). Jeffrey M. Good has collaborated with scholars based in United States, Germany and Portugal. Frequent co-authors include Michael W. Nachman, Kimberly R. Andrews, Paul A. Hohenlohe, Gordon Luikart, Michael R. Miller, Matthew R. Jones, Jack Sullivan, Dan Vanderpool, John R. Demboski and Ke Bi. Their work appears in journals such as Nature, Science 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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