Kendra Allton

1.8k citations
15 papers · 1.1k indexed · h-index 11

Impact in

    • Cancer-related molecular mechanisms research
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Ubiquitin and proteasome pathways
    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics

Papers in

    • interferon and immune responses 3
    • Epigenetics and DNA Methylation 7
    • Pluripotent Stem Cells Research 4
    • CRISPR and Genetic Engineering 4
    • Genomics and Chromatin Dynamics 3
    • RNA modifications and cancer 2

Kendra Allton

15 papers receiving 1.1k citations

Peers

Kendra Allton
Comparison fields: 5 of 78
  • Cancer Research 305
  • Molecular Biology 909
  • Oncology 254
  • Immunology 153
  • Geriatrics and Gerontology 14
Replace Yojiro Kotake with:
Yojiro Kotake Japan
Fábio Pittella Silva Brazil
Ricardo E. Perez United States
Renaud Grépin France
Haixin Lei China
Barbara Cecchinelli Italy
Nicholas W. Harper United Kingdom
Qingdong Deng United States
Luis A. Carvajal United States
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Kendra Allton relative to Yojiro Kotake Japan Yojiro Kotake's profile →
Citations per field
00.5×1.5×1.8×
Yojiro Kotake · 1×
Citations per year

Countries citing papers authored by Kendra Allton

Since Specialization
Citations

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

Fields of papers citing papers by Kendra Allton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 20241
2 20231
3 20231
4 202137
5 20201
6 201857
7 201745
8 201798
9 201651
10 2016169
11 201479
12 201376
13 2012197
14 201064
15 2009221

About Kendra Allton

Kendra Allton is a scholar working on Immunology, Molecular Biology, Endocrine and Autonomic Systems, Cancer Research and Neurology, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (4 papers), interferon and immune responses (3 papers), Cancer-related Molecular Pathways (3 papers), Diet and metabolism studies (3 papers), Genomics and Chromatin Dynamics (3 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (305 citations), Molecular Biology (909 citations), Oncology (254 citations), Immunology (153 citations) and Geriatrics and Gerontology (14 citations). Kendra Allton has collaborated with scholars based in United States, Israel and South Korea. Frequent co-authors include Michelle Barton, Abhinav K. Jain, Wei Li, Kadir C. Akdemir, Jun Qin, Hans‐Martin Herz, Michael Kyba, Andreas Bergmann, Sung Yun Jung and Elisabeth Mahen. Their work appears in journals such as Nucleic Acids Research, iScience, Genes & Development, Alzheimer s & Dementia and BMC Genomics.

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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