Stephen Klusza

825 citations
7 papers · 657 · h-index 5

Impact in

    • Hippo pathway signaling and YAP/TAZ
    • Cellular Mechanics and Interactions

Papers in

    • Genomics and Chromatin Dynamics 3
    • Epigenetics and DNA Methylation 2
    • CRISPR and Genetic Engineering 2
    • RNA and protein synthesis mechanisms 1
    • Plant Reproductive Biology 1
    • Hippo pathway signaling and YAP/TAZ 2

Stephen Klusza

7 papers receiving 650 citations

Peers

Stephen Klusza
Comparison fields: 5 of 47
  • Cell Biology 420
  • Aging 15
  • Molecular Biology 433
  • Cellular and Molecular Neuroscience 49
  • Immunology 31
Replace Lesley N. Weaver with:
Lesley N. Weaver United States
Carole L.C. Poon Australia
Margaret Rohrbaugh United States
Samuel J. Bichsel Switzerland
Violaine Mottier-Pavie United States
Ricardo M. Neto-Silva Portugal
Sayaka Yasuda Japan
Carly I. Dix United Kingdom
Francesca Froldi Australia
Roy G. H. P. van Heesbeen Netherlands
Stephen Klusza relative to Lesley N. Weaver United States Lesley N. Weaver's profile →
Citations per field
00.5×
Lesley N. Weaver · 1×
Citations per year

Countries citing papers authored by Stephen Klusza

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Klusza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Stephen Klusza, 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 Stephen Klusza Line = papers co-authored together Stephen Klusza links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2010424
2 2015126
3 201085
4 20168
5 20227
6 20134
7 20103

About Stephen Klusza

Stephen Klusza is a scholar working on Molecular Biology, Cell Biology, Plant Science, Genetics and Infectious Diseases, having authored 7 papers that have together received 657 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Epigenetics and DNA Methylation (2 papers), Chromosomal and Genetic Variations (2 papers), CRISPR and Genetic Engineering (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), RNA and protein synthesis mechanisms (1 paper), Plant Reproductive Biology (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Cell Biology (420 citations), Aging (15 citations), Molecular Biology (433 citations), Cellular and Molecular Neuroscience (49 citations) and Immunology (31 citations). Stephen Klusza has collaborated with scholars based in United States. Frequent co-authors include Jixin Dong, Yonggang Zheng, Wu-Min Deng, Jianzhong Yu, Duojia Pan, Wu‐Min Deng, Kaitlin P. Curry, A. Gregory Matera, Deirdre C. Tatomer and Brian D. Strahl. Their work appears in journals such as Developmental Cell, Genetics, Developmental Biology, BioEssays and Fly.

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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