L. Ryan Baugh

4.6k citations
54 papers · 3.1k · h-index 31

Impact in

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 43
    • CRISPR and Genetic Engineering 12
    • RNA Research and Splicing 5

L. Ryan Baugh

52 papers receiving 3.1k citations

Peers

L. Ryan Baugh
Comparison fields: 5 of 135
  • Aging 1.7k
  • Endocrine and Autonomic Systems 508
  • Molecular Biology 1.6k
  • Genetics 500
  • Physiology 316
Replace Shai Shaham with:
Shai Shaham United States
Renaud Legouis France
Ronald Ellis United States
Nathalie Le Bot United States
David P. Welchman United Kingdom
Marc Sohrmann Switzerland
Ralf Schnabel Germany
Susan E. Mango United States
Monica Gotta Switzerland
Peder Zipperlen United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by L. Ryan Baugh

Since Specialization
Citations

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

Fields of papers citing papers by L. Ryan Baugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. Ryan Baugh. 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 L. Ryan Baugh. The network helps show where L. Ryan Baugh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001416
2 2003211
3 2006205
4 2006194
5 2013183
6 2009138
7 2002118
8 2015111
9 200598
10 201397
11 202186
12 202086
13 201471
14 201765
15 201364
16 201863
17 201656
18 200553
19 202051
20 201450

About L. Ryan Baugh

L. Ryan Baugh is a scholar working on Aging, Molecular Biology, Endocrine and Autonomic Systems, Genetics and Pediatrics, Perinatology and Child Health, having authored 54 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (43 papers), Circadian rhythm and melatonin (14 papers), CRISPR and Genetic Engineering (12 papers), Birth, Development, and Health (9 papers), Evolution and Genetic Dynamics (6 papers), RNA Research and Splicing (5 papers), Reproductive Biology and Fertility (4 papers) and Animal Genetics and Reproduction (3 papers). The work is most often cited by research in Aging (1.7k citations), Endocrine and Autonomic Systems (508 citations), Molecular Biology (1.6k citations), Genetics (500 citations) and Physiology (316 citations). L. Ryan Baugh has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Paul W. Sternberg, James M. Jordan, Jonathan D. Hibshman, Donna K. Slonim, Andrew A. Hill, Craig P. Hunter, Eugene L. Brown, Amy K. Webster, Brad T. Moore and John DeModena. Their work appears in journals such as Genetics, PLoS Genetics, eLife, Current Biology and G3 Genes Genomes 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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