Sarah Pyfrom

584 citations
11 papers · 397 · h-index 8

Impact in

    • Immune Cell Function and Interaction
    • IL-33, ST2, and ILC Pathways
    • T-cell and B-cell Immunology
    • Cancer-related molecular mechanisms research

Papers in

    • Ubiquitin and proteasome pathways 2
    • RNA modifications and cancer 2
    • Epigenetics and DNA Methylation 1
    • Ion channel regulation and function 1
    • T-cell and B-cell Immunology 2
    • Immune Cell Function and Interaction 2

Sarah Pyfrom

11 papers receiving 397 citations

Peers

Sarah Pyfrom
Comparison fields: 5 of 57
  • Immunology 176
  • Cancer Research 62
  • Cellular and Molecular Neuroscience 54
  • Aging 5
  • Sensory Systems 13
Replace Amanda Norvell with:
Amanda Norvell United States
Priska Binner Germany
Martina Vašková Czechia
Xiaoping Han China
Kaleo Ede United States
Margret Shirinian Lebanon
Isabelle Grass Germany
Amanda L. Neisch United States
W.S. Volkers Netherlands
Fiona G. Wylie Australia
Sarah Pyfrom relative to Amanda Norvell United States Amanda Norvell's profile →
Citations per field
00.5×10.3×
Amanda Norvell · 1×
Citations per year

Countries citing papers authored by Sarah Pyfrom

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Pyfrom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2016124
2 201374
3 202174
4 201454
5 201923
6 202017
7 201712
8 202311
9 20215
10 20252
11 20181

About Sarah Pyfrom

Sarah Pyfrom is a scholar working on Molecular Biology, Immunology, Cancer Research, Pathology and Forensic Medicine and Genetics, having authored 11 papers that have together received 397 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Ubiquitin and proteasome pathways (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), RNA modifications and cancer (2 papers), Epigenetics and DNA Methylation (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Immunology (176 citations), Cancer Research (62 citations), Cellular and Molecular Neuroscience (54 citations), Aging (5 citations) and Sensory Systems (13 citations). Sarah Pyfrom has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Jacqueline E. Payton, Eugene M. Oltz, Olivia I. Koues, Yehuda Ben‐Shahar, Hong Luo, Marina Cella, Marco Colonna, Patrick L. Collins, Sofia I. Porter and Michelle L. Robinette. Their work appears in journals such as Cell Reports, The Journal of Immunology, G3 Genes Genomes Genetics, Cell and Proceedings of the National Academy of Sciences.

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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