David J. Hawthorne

2.6k citations
42 papers · 1.9k indexed · h-index 23
Topics
Insect-Plant Interactions and Control (21 papers)Plant and animal studies (15 papers)Insect and Pesticide Research (13 papers)
Partner nations
United StatesCanadaChina

In The Last Decade

David J. Hawthorne

42 papers receiving 1.8k citations

Peers

David J. Hawthorne
Comparison fields: 5 of 103
  • Insect Science 1.1k
  • Ecology, Evolution, Behavior and Systematics 753
  • Genetics 651
  • Plant Science 494
  • Molecular Biology 398
Replace Gexia Qiao with:
Gexia Qiao China
David M. Althoff United States
Marjorie G. Weber United States
Simão Dias Vasconcelos Brazil
Joel L. Sachs United States
C. Matilda Collins United Kingdom
Matan Shelomi Taiwan
Dean Paini Australia
Blandina Felipe Viana Brazil
Danny Haelewaters United States
David J. Hawthorne relative to Gexia Qiao China Gexia Qiao's profile →
Citations per field
00.5×2.5×
Gexia Qiao · 1×
Citations per year

Countries citing papers authored by David J. Hawthorne

Since Specialization
Citations

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

Fields of papers citing papers by David J. Hawthorne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Hawthorne

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Hawthorne. A scholar is included among the top collaborators of David J. Hawthorne 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 David J. Hawthorne. David J. Hawthorne 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 7
2 36
3 2
4 43
5 42
6 55
7 27
8 188
9 5
10 22
11 71
12 16
13 15
14 41
15 104
16 43
17 11
18 131
19 448
20 79

About David J. Hawthorne

David J. Hawthorne is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Ecological Modeling, having authored 42 papers that have together received 1.9k indexed citations. Recurring topics across this work include Insect-Plant Interactions and Control (21 papers), Plant and animal studies (15 papers) and Insect and Pesticide Research (13 papers). The work is most often cited by research in Insect Science (1.1k citations), Ecology, Evolution, Behavior and Systematics (753 citations) and Genetics (651 citations). David J. Hawthorne has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Sara Via, Galen P. Dively, Alaa Kamel, Jeffery S. Pettis, Ward M. Tingey, Margaret A. Palmer, Sonja J. Scheffer, Mark E. Payton, Matthew H. Greenstone and Daniel L. Rowley. Their work appears in journals such as Nature, PLoS ONE and Scientific Reports.

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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