Kyle A. LaBella

1.3k citations
11 papers · 752 · 1 hit paper · h-index 10

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 10%
    • Telomeres, Telomerase, and Senescence

Papers in

Kyle A. LaBella

11 papers receiving 747 citations

Kyle A. LaBella's Hit Papers

Telomeres: history, health, and hallmarks of aging 2021 · 417 citations
4170+1+3Years since publication100200300400

Peers

Kyle A. LaBella
Comparison fields: 5 of 89
  • Aging 84
  • Physiology 226
  • Cancer Research 81
  • Geriatrics and Gerontology 16
  • Biological Psychiatry 11
Replace Ramasamy Selvarani with:
Ramasamy Selvarani United States
Spivak Im Russia
Hagai Yanai Israel
Graham Harold United Kingdom
Diane C. Cabelof United States
Christine Goy Germany
Rute Martins Portugal
Ji Yeon Hong United States
Emmeline C. Academia United States
Bertrand Duvillié France
Kyle A. LaBella relative to Ramasamy Selvarani United States Ramasamy Selvarani's profile →
Citations per field
00.5×9.5×
Ramasamy Selvarani · 1×
Citations per year

Countries citing papers authored by Kyle A. LaBella

Since Specialization
Citations

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

Fields of papers citing papers by Kyle A. LaBella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle A. LaBella. 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 Kyle A. LaBella. The network helps show where Kyle A. LaBella may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Telomeres: history, health, and hallmarks of aging
Hit paper breakdown →
2021417
2 201986
3 202372
4 202041
5 202240
6 202140
7 202315
8 202413
9 202011
10 202110
11 20247

About Kyle A. LaBella

Kyle A. LaBella is a scholar working on Molecular Biology, Oncology, Physiology, Pediatrics, Perinatology and Child Health and Biological Psychiatry, having authored 11 papers that have together received 752 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (2 papers), Telomeres, Telomerase, and Senescence (2 papers), Gestational Diabetes Research and Management (1 paper), Prostate Cancer Treatment and Research (1 paper), Epigenetics and DNA Methylation (1 paper), Digestive system and related health (1 paper), Liver physiology and pathology (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Aging (84 citations), Physiology (226 citations), Cancer Research (81 citations), Geriatrics and Gerontology (16 citations) and Biological Psychiatry (11 citations). Kyle A. LaBella has collaborated with scholars based in United States and Australia. Frequent co-authors include Ronald A. DePinho, Deepavali Chakravarti, Wolfram Goessling, Arkadi Shwartz, Denise J. Spring, Paul J. Wrighton, Chang‐Jiun Wu, Peiwen Chen, Rumi Lee and Yariv Houvras. Their work appears in journals such as Cancer Discovery, Gastroenterology, Journal of Clinical Investigation, Genes & Development and Cell.

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.

Explore authors with similar magnitude of impact