Todd Minning

1.5k citations
19 papers · 1.2k · h-index 14

Impact in

Papers in

    • Trypanosoma species research and implications 11
    • Signaling Pathways in Disease 2
    • Biomedical Text Mining and Ontologies 2
    • Biochemical and Molecular Research 2
    • Glycosylation and Glycoproteins Research 1

Todd Minning

19 papers receiving 1.2k citations

Peers

Todd Minning
Comparison fields: 5 of 90
  • Epidemiology 797
  • Parasitology 157
  • Public Health, Environmental and Occupational Health 540
  • Insect Science 164
  • Molecular Biology 589
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Citations per field
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Citations per year

Countries citing papers authored by Todd Minning

Since Specialization
Citations

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

Fields of papers citing papers by Todd Minning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2005345
2 2005170
3 2014163
4 2009113
5 200882
6 200673
7 201172
8 200339
9 201139
10 200529
11 200623
12 200221
13 201521
14 201120
15 20136
16 20215
17 20125
18 19984
19
The Knowledge-Driven Exploration of Integrated Biomedical Knowledge Sources Facilitates the Generation of New Hypotheses
20113

About Todd Minning

Todd Minning is a scholar working on Epidemiology, Molecular Biology, Public Health, Environmental and Occupational Health, Genetics and Organic Chemistry, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (11 papers), Research on Leishmaniasis Studies (3 papers), Signaling Pathways in Disease (2 papers), Biomedical Text Mining and Ontologies (2 papers), Biochemical and Molecular Research (2 papers), Genomics and Rare Diseases (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Epidemiology (797 citations), Parasitology (157 citations), Public Health, Environmental and Occupational Health (540 citations), Insect Science (164 citations) and Molecular Biology (589 citations). Todd Minning has collaborated with scholars based in United States, Argentina and Switzerland. Frequent co-authors include Rick L. Tarleton, D. Brent Weatherly, James Atwood, Ron Orlando, Fred R. Opperdoes, Samarchith P. Kurup, Phil Y. Yao, Duo Peng, Stéphane Flibotte and Fernanda Ludolf. Their work appears in journals such as PLoS neglected tropical diseases, BMC Genomics, Parasitology, Molecular and Biochemical Parasitology and Biotechnology and Bioengineering.

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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