Kaitlin E. Swanson

847 citations
10 papers · 706 · h-index 8

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Muscle Physiology and Disorders
    • Circular RNAs in diseases
    • S100 Proteins and Annexins
    • Ion channel regulation and function

Papers in

    • S100 Proteins and Annexins 4
    • Ion channel regulation and function 3
    • Muscle Physiology and Disorders 2
    • Protease and Inhibitor Mechanisms 2
    • MicroRNA in disease regulation 2

Kaitlin E. Swanson

10 papers receiving 701 citations

Peers

Kaitlin E. Swanson
Comparison fields: 5 of 61
  • Cancer Research 232
  • Molecular Biology 536
  • Cell Biology 125
  • Aging 10
  • Rehabilitation 34
Replace Adriana Lasa with:
Adriana Lasa Spain
Hollie A. Harper United States
Irene Raitman United States
Francesca Ferrante Germany
Damian Wollny Germany
Claude Guérin Canada
Paul R. Pierce United States
J S Hu United States
Mathieu Tremblay Canada
Leina Lu Hong Kong
Kaitlin E. Swanson relative to Adriana Lasa Spain Adriana Lasa's profile →
Citations per field
00.5×3.7×
Adriana Lasa · 1×
Citations per year

Countries citing papers authored by Kaitlin E. Swanson

Since Specialization
Citations

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

Fields of papers citing papers by Kaitlin E. Swanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaitlin E. Swanson. 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 Kaitlin E. Swanson. The network helps show where Kaitlin E. Swanson may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2013209
2 2016155
3 2014113
4 201290
5 201362
6 201436
7 201626
8 20159
9 20165
10 20251

About Kaitlin E. Swanson

Kaitlin E. Swanson is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Neurology and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 706 indexed citations. Recurring topics across this work include S100 Proteins and Annexins (4 papers), Ion channel regulation and function (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Muscle Physiology and Disorders (2 papers), Cellular transport and secretion (2 papers), Protease and Inhibitor Mechanisms (2 papers), MicroRNA in disease regulation (2 papers) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Cancer Research (232 citations), Molecular Biology (536 citations), Cell Biology (125 citations), Aging (10 citations) and Rehabilitation (34 citations). Kaitlin E. Swanson has collaborated with scholars based in United States, India and China. Frequent co-authors include Elizabeth M. McNally, Alexis R. Demonbreun, David Y. Barefield, Mattia Quattrocelli, Geoffrey L. Greene, Dezheng Huo, Jessica Bockhorn, Charles M. Perou, Aleix Prat and Simo Huang. Their work appears in journals such as American Journal Of Pathology, PLoS ONE, Developmental Biology, The Journal of Cell Biology and Frontiers in Pediatrics.

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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