Daniel J. Sullivan

3.6k citations
80 papers · 2.5k · h-index 21

Impact in

Papers in

    • Insect-Plant Interactions and Control 17
    • Research on scale insects 4
    • Insect Pest Control Strategies 4
    • Plant Parasitism and Resistance 3

Daniel J. Sullivan

73 papers receiving 2.3k citations

Peers

Daniel J. Sullivan
Comparison fields: 5 of 171
  • Endocrinology, Diabetes and Metabolism 681
  • Insect Science 482
  • Nephrology 241
  • Hematology 306
  • Ecology, Evolution, Behavior and Systematics 288
Replace Fang‐Ju Lin with:
Fang‐Ju Lin Taiwan
Robert L. James United States
Stuart A. Green United States
L. Wildt Germany
Ralf Dittrich Germany
Charles S. Petty United States
Marco Farina Italy
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Ilan Tur-Kaspa United States
Neri Laufer Israel
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Citations per field
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Citations per year

Countries citing papers authored by Daniel J. Sullivan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005269
2 2015216
3 2013211
4 2000207
5 2014191
6 1999181
7 2015111
8 198798
9 199094
10 200280
11 199975
12 200564
13 201752
14 198547
15 200436
16 196930
17
The Summa theologica.
201330
18 197128
19 199127
20 197525

About Daniel J. Sullivan

Daniel J. Sullivan is a scholar working on Insect Science, Plant Science, Ecology, Evolution, Behavior and Systematics, Surgery and Electrical and Electronic Engineering, having authored 80 papers that have together received 2.5k indexed citations. Recurring topics across this work include Insect-Plant Interactions and Control (17 papers), Diabetes Treatment and Management (5 papers), Plant and animal studies (5 papers), Diabetes Management and Research (4 papers), Research on scale insects (4 papers), Insect Pest Control Strategies (4 papers), Plant Parasitism and Resistance (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (681 citations), Insect Science (482 citations), Nephrology (241 citations), Hematology (306 citations) and Ecology, Evolution, Behavior and Systematics (288 citations). Daniel J. Sullivan has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include Keith Usiskin, Albert Fung, Wolfgang Völkl, Kaj Stenlöf, Bruce W. Bode, Dieter Frei, Patrick S. Parfrey, Martin Zagari, Robert N. Foley and Kevin P. Granata. Their work appears in journals such as Annals of the Entomological Society of America, Annual Review of Entomology, International Journal of Eating Disorders, IEEE Transactions on Microwave Theory and Techniques and Journal of Nutrition.

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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