Stephen E. Kendall

804 citations
15 papers · 718 · h-index 13

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • Mesenchymal stem cell research
    • Virus-based gene therapy research
    • Neurogenesis and neuroplasticity mechanisms

Papers in

Stephen E. Kendall

15 papers receiving 704 citations

Peers

Stephen E. Kendall
Comparison fields: 5 of 57
  • Genetics 215
  • Developmental Neuroscience 74
  • Biotechnology 56
  • Oncology 108
  • Cancer Research 56
Replace Bong Gu Kang with:
Bong Gu Kang South Korea
Yingqian Cai China
Shinji Shimato Japan
Peter Kabos United States
Parvez Vora Canada
Raymund L.M. Yong United States
Yaodong Zhao China
Thomas C. Schulz United States
Maleeha A. Qazi Canada
Vidya Gopalakrishnan United States
Stephen E. Kendall relative to Bong Gu Kang South Korea Bong Gu Kang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Stephen E. Kendall

Since Specialization
Citations

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

Fields of papers citing papers by Stephen E. Kendall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 200899
2 200890
3 200978
4 201176
5 200568
6 200958
7 201256
8 200255
9 200649
10 201228
11 200725
12 200320
13 200413
14 20062
15
TWIST1 associates with NF-kappaB subunit RELA via carboxyl-terminal WR domain to promote cell autonomous invasion through IL8 production
20121

About Stephen E. Kendall

Stephen E. Kendall is a scholar working on Developmental Neuroscience, Genetics, Cancer Research, Oncology and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 718 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Cancer Cells and Metastasis (3 papers), TGF-β signaling in diseases (3 papers), NF-κB Signaling Pathways (2 papers), Mechanisms of cancer metastasis (2 papers), Protease and Inhibitor Mechanisms (1 paper) and Nuclear Receptors and Signaling (1 paper). The work is most often cited by research in Genetics (215 citations), Developmental Neuroscience (74 citations), Biotechnology (56 citations), Oncology (108 citations) and Cancer Research (56 citations). Stephen E. Kendall has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Carlotta A. Glackin, Karen Saida Aboody, Joseph Najbauer, Marianne Z. Metz, Seung Up Kim, Joseph M. Verdi, Margarita Gutova, Chiara Battelli, Jane Mitchell and Michael E. Barish. Their work appears in journals such as PLoS ONE, Stem Cells, Molecular and Cellular Biology, Development and BMC Biology.

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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