Rachael Rutkowski

408 citations
5 papers · 313 · h-index 4

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 10%
    • Calcium signaling and nucleotide metabolism

Papers in

    • DNA Repair Mechanisms 1
    • Genomics and Chromatin Dynamics 1
    • Pluripotent Stem Cells Research 1
    • Genetics, Aging, and Longevity in Model Organisms 2

Rachael Rutkowski

5 papers receiving 310 citations

Peers

Rachael Rutkowski
Comparison fields: 5 of 52
  • Aging 93
  • Physiology 27
  • Cell Biology 58
  • Endocrine and Autonomic Systems 22
  • Biochemistry 24
Replace Zhi‐Xia Yang with:
Zhi‐Xia Yang China
Daemyung Kim South Korea
En-Zhi Shen China
Qian‐Qian Sha China
Anna P. Petrashen United States
Dennis J. Bua United States
Jaroslav Kalous Czechia
Aniek van der Vaart Netherlands
Wenke Wang China
Beatriz Sáenz‐Narciso Spain
Rachael Rutkowski relative to Zhi‐Xia Yang China Zhi‐Xia Yang's profile →
Citations per field
00.5×6.8×
Zhi‐Xia Yang · 1×
Citations per year

Countries citing papers authored by Rachael Rutkowski

Since Specialization
Citations

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

Fields of papers citing papers by Rachael Rutkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Rachael Rutkowski, 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 Rachael Rutkowski Line = papers co-authored together Rachael Rutkowski links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 2012140
2 201088
3 201160
4 200923
5
Differences between C57BL-6 and C57BL-10 inbred mouse strains in chromosomes 2,4,13,17 and 18
20022

About Rachael Rutkowski

Rachael Rutkowski is a scholar working on Molecular Biology, Aging, Pathology and Forensic Medicine, Pediatrics, Perinatology and Child Health and Oncology, having authored 5 papers that have together received 313 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (2 papers), Neonatal Health and Biochemistry (1 paper), Biomedical Research and Pathophysiology (1 paper), DNA Repair Mechanisms (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Genomics and Chromatin Dynamics (1 paper), Amino Acid Enzymes and Metabolism (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Aging (93 citations), Physiology (27 citations), Cell Biology (58 citations), Endocrine and Autonomic Systems (22 citations) and Biochemistry (24 citations). Rachael Rutkowski has collaborated with scholars based in United Kingdom, Germany and China. Frequent co-authors include Anton Gartner, Kay Hofmann, Xiaochen Wang, Bin Liu, Hongwei Du, William Warren, Ashley Craig, Marianne Schimpl, Robin J. Dickinson and Stephen M. Keyse. Their work appears in journals such as Science, PLoS Genetics, Developmental Dynamics, Cold Spring Harbor Perspectives in Biology and Animal Science Papers and Reports.

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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