Scott Durkin

2.2k citations
7 papers · 107 · h-index 5

Impact in

Papers in

    • Genomics and Phylogenetic Studies 2
    • Biomedical Text Mining and Ontologies 2
    • Machine Learning in Bioinformatics 1
    • Bacillus and Francisella bacterial research 1
    • RNA and protein synthesis mechanisms 1

Scott Durkin

7 papers receiving 99 citations

Peers

Scott Durkin
Comparison fields: 5 of 42
  • Parasitology 39
  • Small Animals 24
  • Microbiology 1
  • Infectious Diseases 23
  • Endocrinology 5
Replace Carolina de Lima Alcantara with:
Carolina de Lima Alcantara Brazil
Marluce Aparecida Assunção Oliveira Brazil
Mireille Nowakowski France
Marie France Bosseno France
Eleanor Stanley United Kingdom
Alex P. McLatchie United Kingdom
Chunhong Du China
Sabine Bachmaier Germany
Vijayata Choudhary India
Srinivasan Ramachandran United States
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Citations per field
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Carolina de Lima Alcantara · 1×
Citations per year

Countries citing papers authored by Scott Durkin

Since Specialization
Citations

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

Fields of papers citing papers by Scott Durkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 201341
2 201118
3 201117
4
Using Student Team Reading and Student Team Writing in Middle Schools: Two Evaluations.
199214
5 19959
6 19984
7 20094

About Scott Durkin

Scott Durkin is a scholar working on Molecular Biology, Small Animals, Artificial Intelligence, Pharmacology and Physiology, having authored 7 papers that have together received 107 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (2 papers), Biomedical Text Mining and Ontologies (2 papers), Machine Learning in Bioinformatics (1 paper), Bartonella species infections research (1 paper), Yersinia bacterium, plague, ectoparasites research (1 paper), Semantic Web and Ontologies (1 paper), Bacillus and Francisella bacterial research (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Parasitology (39 citations), Small Animals (24 citations), Microbiology (1 citation), Infectious Diseases (23 citations) and Endocrinology (5 citations). Scott Durkin has collaborated with scholars based in United States and Greece. Frequent co-authors include Robert Stevens, Lauren Brinkac, Derek M. Harkins, Daniel H. Haft, William C. Nierman, Michael A. Matthias, Granger Sutton, Joseph M. Vinetz, Anthony P. Cannella and Derrick E. Fouts. Their work appears in journals such as Nucleic Acids Research, PLoS neglected tropical diseases, Virus Genes, PLoS ONE and Genomics.

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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