John D. Nason

83 papers receiving 6.2k citations

Hit Papers

Spatial genetic structure of a tropical understory shrub, PSYCHOTRIA OFFICINALIS (RuBIACEAE) 1995 · 1.2k citations
1.2k19952026200520152505007501000

Peers

John D. Nason
Comparison fields: 5 of 97
  • Ecology, Evolution, Behavior and Systematics 3.5k
  • Nature and Landscape Conservation 1.9k
  • Genetics 3.3k
  • Ecological Modeling 321
  • Plant Science 2.5k
Replace Kermit Ritland with:
Kermit Ritland Canada
Richard A. Ennos United Kingdom
Isabelle Olivieri France
Peter Tiffin United States
Christian Lexer Switzerland
Xavier Vekemans France
Brook G. Milligan United States
Joop Jukema Netherlands
Ann K. Sakai United States
Michele R. Dudash United States
John D. Nason relative to Kermit Ritland Canada Kermit Ritland's profile →
Citations per field
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Kermit Ritland · 1×
Citations per year

Countries citing papers authored by John D. Nason

Since Specialization
Citations

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

Fields of papers citing papers by John D. Nason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John D. Nason. 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 John D. Nason. The network helps show where John D. Nason may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20237
2 20226
3 20219
4 20210
5 20165
6 20151
7 201511
8 201225
9 20122
10 201044
11 2010149
12 200955
13 200751
14 200727
15 200649
16 200453
17 2004239
18 200492
19 2001179
20
Spatial genetic structure of a tropical understory shrub, PSYCHOTRIA OFFICINALIS (RuBIACEAE)
Hit paper breakdown →
19951184

About John D. Nason

John D. Nason is a scholar working on Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation, Genetics, Plant Science and Endocrinology, having authored 84 papers that have together received 6.4k indexed citations. Recurring topics across this work include Plant and animal studies (62 papers), Genetic diversity and population structure (40 papers), Ecology and Vegetation Dynamics Studies (28 papers), Plant Parasitism and Resistance (16 papers), Plant Reproductive Biology (8 papers), Botany, Ecology, and Taxonomy Studies (7 papers), Insect-Plant Interactions and Control (6 papers) and Botanical Research and Applications (5 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (3.5k citations), Nature and Landscape Conservation (1.9k citations), Genetics (3.3k citations), Ecological Modeling (321 citations) and Plant Science (2.5k citations). John D. Nason has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Victoria L. Sork, Bette A. Loiselle, Catherine H. Graham, J. L. Hamrick, Stephen B. Heard, Rodney J. Dyer, Norman C. Ellstrand, Edward Allen Herre, John O. Stireman and J. L. Hamrick. Their work appears in journals such as Evolution, American Journal of Botany, Molecular Ecology, Proceedings of the Royal Society B Biological Sciences and Ecological Monographs.

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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