Todd J. Widhelm

23 papers receiving 1.3k citations

Todd J. Widhelm's Hit Papers

A Genetic Resource for Rapid and Comprehensive Phenotype Screening of Nonessential Staphylococcus aureus Genes 2013 · 705 citations
7050+4+8Years since publication200400600

Peers

Todd J. Widhelm
Comparison fields: 5 of 95
  • Infectious Diseases 484
  • Molecular Medicine 89
  • Microbiology 106
  • Cell Biology 258
  • Ecology, Evolution, Behavior and Systematics 279
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Countries citing papers authored by Todd J. Widhelm

Since Specialization
Citations

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

Fields of papers citing papers by Todd J. Widhelm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Genetic Resource for Rapid and Comprehensive Phenotype Screening of Nonessential Staphylococcus aureus Genes
Hit paper breakdown →
2013705
2 2009214
3 201496
4 201368
5 201644
6 201934
7 202020
8 201820
9 202017
10 201917
11 201617
12 202013
13 201713
14 202010
15 20147
16 20216
17 20136
18
The phylogenetic placement of Miltideaceae inferred from ribosomal DNA sequence data.
20116
19 20215
20 20055

About Todd J. Widhelm

Todd J. Widhelm is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics, Cell Biology, Molecular Biology and Infectious Diseases, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mycorrhizal Fungi and Plant Interactions (18 papers), Lichen and fungal ecology (16 papers), Plant Pathogens and Fungal Diseases (10 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Botany and Plant Ecology Studies (4 papers), Yeasts and Rust Fungi Studies (3 papers), Bacterial biofilms and quorum sensing (3 papers) and Bacterial Genetics and Biotechnology (3 papers). The work is most often cited by research in Infectious Diseases (484 citations), Molecular Medicine (89 citations), Microbiology (106 citations), Cell Biology (258 citations) and Ecology, Evolution, Behavior and Systematics (279 citations). Todd J. Widhelm has collaborated with scholars based in United States, Germany and Colombia. Frequent co-authors include Kenneth W. Bayles, Jennifer L. Endres, Vijaya Kumar Yajjala, Paul D. Fey, Jeffrey L. Bose, Robert Boissy, H. Thorsten Lumbsch, Marat R. Sadykov, Matthew P. Nelsen and Ana Crespo. Their work appears in journals such as Molecular Phylogenetics and Evolution, The Bryologist, Botanical Journal of the Linnean Society, Journal of Bacteriology and Scientific Reports.

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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