Katelyn Williams

507 citations
11 papers · 355 · h-index 10

Impact in

Papers in

    • Ubiquitin and proteasome pathways 5
    • Glycosylation and Glycoproteins Research 2
    • Bacterial biofilms and quorum sensing 1
    • Biochemical and Molecular Research 1
    • ATP Synthase and ATPases Research 1
    • Cancer-related Molecular Pathways 1

Katelyn Williams

10 papers receiving 352 citations

Peers

Katelyn Williams
Comparison fields: 5 of 80
  • Oncology 120
  • Immunology 75
  • Molecular Biology 238
  • Cell Biology 55
  • Parasitology 15
Replace Pauline Bonvin with:
Pauline Bonvin Switzerland
Kai‐Chen Wu Australia
Ines Sauer Germany
Gokhan Demirkan United States
Elfriede Nößner Germany
Dawafuti Sherpa Germany
Andrea Baines United States
Anjana Shenoy Israel
Ulrika Rolén Sweden
Erik Vernet Denmark
Katelyn Williams relative to Pauline Bonvin Switzerland Pauline Bonvin's profile →
Citations per field
00.5×1.5×2.2×
Pauline Bonvin · 1×
Citations per year

Countries citing papers authored by Katelyn Williams

Since Specialization
Citations

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

Fields of papers citing papers by Katelyn Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201681
2 201848
3 201847
4 201944
5 201740
6 201532
7 201727
8 201216
9 20229
10 20129
11
Ernest Everett Just, PhD: Pioneer in Ecological Developmental (Eco-Devo) Biology
20132

About Katelyn Williams

Katelyn Williams is a scholar working on Molecular Biology, Oncology, Cell Biology, Genetics and Infectious Diseases, having authored 11 papers that have together received 355 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Genetics and Neurodevelopmental Disorders (2 papers), Glycosylation and Glycoproteins Research (2 papers), Bacterial biofilms and quorum sensing (1 paper), Biochemical and Molecular Research (1 paper), Cancer-related Molecular Pathways (1 paper), Dermatological diseases and infestations (1 paper) and ATP Synthase and ATPases Research (1 paper). The work is most often cited by research in Oncology (120 citations), Immunology (75 citations), Molecular Biology (238 citations), Cell Biology (55 citations) and Parasitology (15 citations). Katelyn Williams has collaborated with scholars based in United States, Australia and Egypt. Frequent co-authors include Shaun K. Olsen, Zongyang Lv, Lingmin Yuan, David A. Willis, Shuo Qie, J. Alan Diehl, Bei Liu, Zihai Li, D.T. Gewirth and Bill X. Wu. Their work appears in journals such as Nature Communications, Biotechnology and Bioengineering, Current Topics in Medicinal Chemistry, Journal of Biological Chemistry and Molecular Cell.

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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