Todd Wylie

30.0k total citations · 2 hit papers
54 papers, 4.2k citations indexed

About

Todd Wylie is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Todd Wylie has authored 54 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Epidemiology and 11 papers in Infectious Diseases. Recurrent topics in Todd Wylie's work include Genetics, Aging, and Longevity in Model Organisms (7 papers), MicroRNA in disease regulation (5 papers) and Viral gastroenteritis research and epidemiology (5 papers). Todd Wylie is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (7 papers), MicroRNA in disease regulation (5 papers) and Viral gastroenteritis research and epidemiology (5 papers). Todd Wylie collaborates with scholars based in United States, Canada and Australia. Todd Wylie's co-authors include Elaine R. Mardis, Daniel C. Koboldt, Richard K. Wilson, George M. Weinstock, Kristine M. Wylie, Vincent Magrini, Michael D. McLellan, Li Ding, David E. Larson and Ken Chen and has published in prestigious journals such as Nature, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Todd Wylie

54 papers receiving 4.2k citations

Hit Papers

Cancer exome analysis reveals a T-cell-dependent mechanis... 2009 2026 2014 2020 2012 2009 250 500 750

Peers

Todd Wylie
Comparison fields: 5 of 145
  • Molecular Biology 1.7k
  • Immunology 977
  • Oncology 880
  • Genetics 546
  • Cancer Research 543
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Citations per field, relative to Todd Wylie
Todd Wylie · 1×
Citations per year, relative to Todd Wylie
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Countries citing papers authored by Todd Wylie

Since Specialization
Citations

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

Fields of papers citing papers by Todd Wylie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Todd Wylie

This figure shows the co-authorship network connecting the top 25 collaborators of Todd Wylie. A scholar is included among the top collaborators of Todd Wylie 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 Todd Wylie. Todd Wylie 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
# Work Indexed citations
1 2
2 1
3 4
4 2
5 17
6 27
7 34
8 27
9 75
10 58
11 157
12 83
13 120
14
VarScan: variant detection in massively parallel sequencing of individual and pooled samples breakdown →
917
15 22
16 309
17 29
18
Comparative Genomics of Gene Expression in the Parasitic and Free-Living Nematodes Strongyloides stercoralis and Caenorhabditis elegans
7
19 77
20 74

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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