Todd Kimball

488 citations
12 papers · 323 · h-index 8

Impact in

Papers in

    • Histone Deacetylase Inhibitors Research 2
    • Congenital heart defects research 2
    • Genomics and Chromatin Dynamics 2
    • Ubiquitin and proteasome pathways 1
    • Epigenetics and DNA Methylation 1
    • Animal Vocal Communication and Behavior 2

Todd Kimball

10 papers receiving 321 citations

Peers

Todd Kimball
Comparison fields: 5 of 55
  • Developmental Biology 10
  • Cardiology and Cardiovascular Medicine 76
  • Molecular Biology 199
  • Aging 5
  • Genetics 33
Replace Madoka Kumai with:
Madoka Kumai Japan
Bjørt K. Kragesteen Germany
Julia Hofhuis Germany
Roos F. Marsman Netherlands
Terry Tansey United States
Stephanie Demuth Germany
Yo Okizuka Japan
Ryan R. Cupo United States
Naeimeh Tayebi United States
Imma Rost Germany
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Citations per field
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Citations per year

Countries citing papers authored by Todd Kimball

Since Specialization
Citations

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

Fields of papers citing papers by Todd Kimball

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2017112
2 202268
3 201646
4 201932
5 201321
6 201818
7 202411
8 202211
9 20243
10 20171
11 20250
12 20260

About Todd Kimball

Todd Kimball is a scholar working on Molecular Biology, Developmental Biology, Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems and Ecology, Evolution, Behavior and Systematics, having authored 12 papers that have together received 323 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (2 papers), Animal Vocal Communication and Behavior (2 papers), Congenital heart defects research (2 papers), Genomics and Chromatin Dynamics (2 papers), Cardiovascular and exercise physiology (1 paper), Ubiquitin and proteasome pathways (1 paper), Marine animal studies overview (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Developmental Biology (10 citations), Cardiology and Cardiovascular Medicine (76 citations), Molecular Biology (199 citations), Aging (5 citations) and Genetics (33 citations). Todd Kimball has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Thomas M. Vondriska, Yibin Wang, Manuel Rosa‐Garrido, Shuxun Ren, Emma Monte, Douglas J. Chapski, Enrique Balderas, Elizabeth Soehalim, Anthony D. Schmitt and T. Shane Shih. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Nature Communications, Trends in Endocrinology and Metabolism, Circulation 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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