John D. Hatle

882 citations
49 papers · 710 · h-index 20

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
    • Insect Utilization and Effects
    • Insect-Plant Interactions and Control

Papers in

John D. Hatle

48 papers receiving 683 citations

Peers

John D. Hatle
Comparison fields: 5 of 60
  • Aging 95
  • Insect Science 321
  • Ecology, Evolution, Behavior and Systematics 271
  • Cellular and Molecular Neuroscience 230
  • Genetics 232
Replace Minou Djawdan with:
Minou Djawdan United States
Nagaraj Guru Prasad India
Daniel J. Borash United States
Peter Klepsatel Slovakia
Martina Gáliková Slovakia
Oleg A. Bubliy Denmark
Mantaro Hironaka Japan
Andrew I Barnes United Kingdom
Fabian M. Norry Argentina
Kim van der Linde United States
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Citations per field
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Minou Djawdan · 1×
Citations per year

Countries citing papers authored by John D. Hatle

Since Specialization
Citations

This map shows the geographic impact of John D. Hatle'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. Hatle 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. Hatle more than expected).

Fields of papers citing papers by John D. Hatle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199837
2 200037
3 201035
4 200132
5 200130
6 200229
7 200529
8 200229
9 200027
10 200227
11 200824
12 200323
13 201123
14 201521
15 200621
16 200819
17 201119
18 199919
19 200919
20 200719

About John D. Hatle

John D. Hatle is a scholar working on Insect Science, Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics, Genetics and Ecology, having authored 49 papers that have together received 710 indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (20 papers), Neurobiology and Insect Physiology Research (20 papers), Insect Utilization and Effects (19 papers), Physiological and biochemical adaptations (12 papers), Plant and animal studies (12 papers), Animal Behavior and Reproduction (10 papers), Orthoptera Research and Taxonomy (8 papers) and Amphibian and Reptile Biology (5 papers). The work is most often cited by research in Aging (95 citations), Insect Science (321 citations), Ecology, Evolution, Behavior and Systematics (271 citations), Cellular and Molecular Neuroscience (230 citations) and Genetics (232 citations). John D. Hatle has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Steven A. Juliano, David W. Borst, Daniel A. Hahn, Douglas W. Whitman, Jeffrey H. Spring, Matthew R. Gilg, Michelle Drewry, Frank J. Wessels, Ebony G. Murrell and John T. Hunter. Their work appears in journals such as Experimental Gerontology, Oecologia, Journal of Insect Physiology, Integrative and Comparative Biology and Environmental Entomology.

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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