Matthew DeGennaro

3.7k citations
40 papers · 2.4k indexed · h-index 18
Topics
Neurobiology and Insect Physiology Research (24 papers)Mosquito-borne diseases and control (11 papers)Insect and Arachnid Ecology and Behavior (11 papers)

In The Last Decade

Matthew DeGennaro

37 papers receiving 2.4k citations

Peers

Matthew DeGennaro
Comparison fields: 5 of 123
  • Molecular Biology 1.0k
  • Cellular and Molecular Neuroscience 965
  • Insect Science 665
  • Public Health, Environmental and Occupational Health 425
  • Genetics 421
Replace William W. Ja with:
William W. Ja United States
Kweon Yu South Korea
Irene Miguel‐Aliaga United Kingdom
Gaiti Hasan India
Roland J. Bainton United States
Shinya Yamamoto United States
Kyung‐Tai Min United States
Tetsuya Miyamoto Japan
R. Elwyn Isaac United Kingdom
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Matthew DeGennaro relative to William W. Ja United States William W. Ja's profile →
Citations per field
00.5×3.8×
William W. Ja · 1×
Citations per year

Countries citing papers authored by Matthew DeGennaro

Since Specialization
Citations

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

Fields of papers citing papers by Matthew DeGennaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew DeGennaro. 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 Matthew DeGennaro. The network helps show where Matthew DeGennaro may publish in the future.

Co-authorship network of co-authors of Matthew DeGennaro

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew DeGennaro. A scholar is included among the top collaborators of Matthew DeGennaro 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 Matthew DeGennaro. Matthew DeGennaro 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 0
3 4
4 1
5 10
6 2
7 2
8 3
9 42
10 23
11 26
12 69
13 127
14 212
15 46
16 278
17 17
18 88
19 5
20 387

About Matthew DeGennaro

Matthew DeGennaro is a scholar working on Cellular and Molecular Neuroscience, Insect Science and Aging, having authored 40 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (24 papers), Mosquito-borne diseases and control (11 papers) and Insect and Arachnid Ecology and Behavior (11 papers). The work is most often cited by research in Aging (172 citations), Insect Science (665 citations) and Cellular and Molecular Neuroscience (965 citations). Matthew DeGennaro has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Ruth Lehmann, Thomas R. Hurd, Bina Santoro, Gareth R. Tibbs, Brian J. Wainger, Steven A. Siegelbaum, Carolyn S. McBride, Leslie B. Vosshall, Benoît Biteau and Joshua I. Raji. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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