Kimberly Larson

532 citations
9 papers · 382 · h-index 5

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
    • Genomics and Chromatin Dynamics
    • Epigenetics and DNA Methylation
    • RNA Research and Splicing
    • CRISPR and Genetic Engineering

Papers in

    • Genomics and Chromatin Dynamics 2
    • RNA Research and Splicing 2
    • Melanoma and MAPK Pathways 1
    • Invertebrate Immune Response Mechanisms 2

Kimberly Larson

7 papers receiving 378 citations

Peers

Kimberly Larson
Comparison fields: 5 of 52
  • Aging 55
  • Molecular Biology 292
  • Immunology 57
  • Oncology 71
  • Cellular and Molecular Neuroscience 30
Replace Eunyee Kwak with:
Eunyee Kwak South Korea
Jennifer Zhou United States
Samir Karaca Germany
PJ Coffer Netherlands
Shrestha Ghosh Hong Kong
Sadanand Vodala United States
Cathleen Brdlik United States
Myrriah Chavez-Tomar United States
Zaira García Spain
Silvana Paredes United States
Kimberly Larson relative to Eunyee Kwak South Korea Eunyee Kwak's profile →
Citations per field
00.5×3.2×
Eunyee Kwak · 1×
Citations per year

Countries citing papers authored by Kimberly Larson

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly Larson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2012202
2 2008103
3 201144
4 200818
5 20069
6 20063
7 20232
8 20241
9 20250

About Kimberly Larson

Kimberly Larson is a scholar working on Molecular Biology, Immunology, Organic Chemistry, Cellular and Molecular Neuroscience and General Health Professions, having authored 9 papers that have together received 382 indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (2 papers), Genomics and Chromatin Dynamics (2 papers), RNA Research and Splicing (2 papers), Health Policy Implementation Science (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Gestational Trophoblastic Disease Studies (1 paper), Magnesium Alloys: Properties and Applications (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Aging (55 citations), Molecular Biology (292 citations), Immunology (57 citations), Oncology (71 citations) and Cellular and Molecular Neuroscience (30 citations). Kimberly Larson has collaborated with scholars based in United States and Canada. Frequent co-authors include Willis X. Li, Shian-Jang Yan, Dongdong Guo, Amy Tsurumi, Thomas H. Eickbush, Jun Zhou, Liu H, Song Shi, Pranabananda Dutta and Jinghong Li. Their work appears in journals such as PLoS Genetics, Nature Cell Biology, PLoS Biology, Oncology Reports and International Journal of Qualitative Methods.

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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