Todd Lamitina

1.4k citations
33 papers · 1.0k · h-index 18

Impact in

Papers in

    • RNA Research and Splicing 7
    • Mitochondrial Function and Pathology 6
    • Genetics, Aging, and Longevity in Model Organisms 18

Todd Lamitina

32 papers receiving 989 citations

Peers

Todd Lamitina
Comparison fields: 5 of 93
  • Aging 506
  • Endocrine and Autonomic Systems 184
  • Molecular Biology 526
  • Sensory Systems 35
  • Physiology 185
Replace Eric J. Aamodt with:
Eric J. Aamodt United States
Jennifer Chang United States
Elia Di Schiavi Italy
Brian M. Zid United States
Thomas M. Barnes Canada
Emmanuel Culetto France
Mariko Sawa Japan
Yongping Chai China
Rachel S. Edgar United Kingdom
Stanislav Nagy United States
Todd Lamitina relative to Eric J. Aamodt United States Eric J. Aamodt's profile →
Citations per field
00.5×2.9×
Eric J. Aamodt · 1×
Citations per year

Countries citing papers authored by Todd Lamitina

Since Specialization
Citations

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

Fields of papers citing papers by Todd Lamitina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006138
2 2012108
3 201282
4 201071
5 200763
6 201062
7 201248
8 200643
9 200039
10 201239
11 201237
12 201236
13 201133
14 201730
15 201329
16 202022
17 201520
18 200620
19 200913
20 202012

About Todd Lamitina

Todd Lamitina is a scholar working on Molecular Biology, Aging, Cellular and Molecular Neuroscience, Neurology and Endocrine and Autonomic Systems, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (18 papers), RNA Research and Splicing (7 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Amyotrophic Lateral Sclerosis Research (6 papers), Circadian rhythm and melatonin (6 papers), Genetic Neurodegenerative Diseases (6 papers), Mitochondrial Function and Pathology (6 papers) and Spaceflight effects on biology (5 papers). The work is most often cited by research in Aging (506 citations), Endocrine and Autonomic Systems (184 citations), Molecular Biology (526 citations), Sensory Systems (35 citations) and Physiology (185 citations). Todd Lamitina has collaborated with scholars based in United States, Philippines and Netherlands. Frequent co-authors include Kevin Strange, Elizabeth A. Morton, Predrag Krajacic, Paulo E. Arratia, Robert G. Kalb, Marco Boccitto, Yana Miteva, Josué Sznitman, Anne‐Katrin Rohlfing and Prashant K. Purohit. Their work appears in journals such as PLoS ONE, Journal of Neuroscience, PLoS Genetics, Proceedings of the National Academy of Sciences and Journal of Visualized Experiments.

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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