David Starns

11 papers receiving 959 citations

David Starns's Hit Papers

VEuPathDB: the eukaryotic pathogen, vector and host bioinformatics resource center in 2023 2023 · 126 citations
1260+1+3Years since publication100200300

Peers

David Starns
Comparison fields: 5 of 90
  • Parasitology 106
  • Insect Science 159
  • Infectious Diseases 151
  • Epidemiology 247
  • Cell Biology 109
Replace Achchuthan Shanmugasundram with:
Achchuthan Shanmugasundram United Kingdom
Shivani Pasricha Australia
Renata Carmona e Ferreira Brazil
Rodrigo Belmonte United Kingdom
Jonas G. King United States
Peter Liehl Portugal
Sufen Hu United States
Zhiyong Li China
J. F. da Silveira Brazil
Olga Vinnere Pettersson Sweden
David Starns relative to Achchuthan Shanmugasundram United Kingdom Achchuthan Shanmugasundram's profile →
Citations per field
00.5×1.5×2.2×
Achchuthan Shanmugasundram · 1×
Citations per year

Countries citing papers authored by David Starns

Since Specialization
Citations

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

Fields of papers citing papers by David Starns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
VEuPathDB: the eukaryotic pathogen, vector and host bioinformatics resource center
Hit paper breakdown →
2021302
2 2018277
3
VEuPathDB: the eukaryotic pathogen, vector and host bioinformatics resource center in 2023
Hit paper breakdown →
2023126
4 201595
5 201556
6 202355
7 202424
8 201617
9 20247
10 20144
11 20253
12 20250

About David Starns

David Starns is a scholar working on Insect Science, Cell Biology, Plant Science, Genetics and Molecular Biology, having authored 12 papers that have together received 966 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Insect symbiosis and bacterial influences (3 papers), Insect and Arachnid Ecology and Behavior (2 papers), Mycorrhizal Fungi and Plant Interactions (2 papers), Bacteriophages and microbial interactions (2 papers), Plant Parasitism and Resistance (2 papers), Plant Pathogens and Fungal Diseases (2 papers) and Studies on Chitinases and Chitosanases (1 paper). The work is most often cited by research in Parasitology (106 citations), Insect Science (159 citations), Infectious Diseases (151 citations), Epidemiology (247 citations) and Cell Biology (109 citations). David Starns has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Jessica C. Kissinger, Kathryn Crouch, David S. Roos, Achchuthan Shanmugasundram, Omar S. Harb, Susanne W. Warrenfeltz, Evelina Y. Basenko, Cristina Aurrecoechea, Christiane Hertz‐Fowler and Jane A. Pulman. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry, Environmental Microbiology, Journal of Fungi and Genetics.

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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