Sarah Pyfrom

572 citations
11 papers · 374 · 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

    • RNA modifications and cancer 4
    • RNA Research and Splicing 2
    • Ubiquitin and proteasome pathways 2
    • T-cell and B-cell Immunology 2

Sarah Pyfrom

11 papers receiving 374 citations

Peers

Sarah Pyfrom
Comparison fields: 5 of 59
  • Immunology 180
  • Cancer Research 62
  • Aging 5
  • Cellular and Molecular Neuroscience 49
  • Sensory Systems 13
Replace Karen Doggett with:
Karen Doggett Australia
Kaleo Ede United States
Laura A. Penny United States
Fiona G. Wylie Australia
Amanda L. Neisch United States
Priska Binner Germany
Rai Knee Canada
Motoyuki Ogawa Japan
Johanne Matheson United Kingdom
Tamara Chessa United Kingdom
Sarah Pyfrom relative to Karen Doggett Australia Karen Doggett's profile →
Citations per field
00.5×4.3×
Karen Doggett · 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 2016122
2 202170
3 201365
4 201453
5 201921
6 202017
7 201712
8 202310
9 20212
10 20251
11 20181

About Sarah Pyfrom

Sarah Pyfrom is a scholar working on Molecular Biology, Immunology, Pathology and Forensic Medicine, Cancer Research and Genetics, having authored 11 papers that have together received 374 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), RNA Research and Splicing (2 papers), T-cell and B-cell Immunology (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Immunology (180 citations), Cancer Research (62 citations), Aging (5 citations), Cellular and Molecular Neuroscience (49 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, Olivia I. Koues, Eugene M. Oltz, Yehuda Ben‐Shahar, Hong Luo, Marina Cella, Michelle L. Robinette, Sofia I. Porter, Patrick L. Collins and Marco Colonna. Their work appears in journals such as The Journal of Immunology, Cell Reports, BMC Genomics, EBioMedicine and Immunity.

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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