Scott X. Atwood

3.5k citations
39 papers · 2.0k indexed · 1 hit paper · h-index 20
    • Cancer and Skin Lesions 6
    • Skin and Cellular Biology Research 3
    • Hedgehog Signaling Pathway Studies 16
    • Single-cell and spatial transcriptomics 6
    • Epigenetics and DNA Methylation 3
  • Aging top 5%
  • Genetics top 5%
    • Genetic and rare skin diseases. 7
    • Hair Growth and Disorders 3
    • Cancer Cells and Metastasis 3

Scott X. Atwood

36 papers receiving 2.0k citations

Hit Papers

Screening cell–cell communication in spatial transcriptom...183202320262024202550100150

Peers

Scott X. Atwood
Comparison fields: 5 of 103
  • Dermatology 244
  • Cell Biology 418
  • Molecular Biology 1.6k
  • Aging 40
  • Genetics 388
Replace Khalil Kass Youssef with:
Khalil Kass Youssef Belgium
Pleasantine Mill United Kingdom
Ichiko Saotome United States
Catherine Lindon United Kingdom
Emanuel Rognoni United Kingdom
Yasuaki Mohri Japan
Gaëlle Lapouge Belgium
Beate M. Lichtenberger Austria
Andrew D. Skora United States
Elizabeth Clayton United Kingdom
Scott X. Atwood relative to Khalil Kass Youssef Belgium Khalil Kass Youssef's profile →
Citations per field
00.5×
Khalil Kass Youssef · 1×
Citations per year

Countries citing papers authored by Scott X. Atwood

Since Specialization
Citations

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

Fields of papers citing papers by Scott X. Atwood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott X. Atwood. 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 Scott X. Atwood. The network helps show where Scott X. Atwood may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20241
4 20241
5 202314
6 202327
7 202226
8 20206
9 202018
10 2020135
11 202048
12 201820
13 201882
14 201675
15 2015118
16 2013190
17 201319
18 201266
19 2010117
20 2007117

About Scott X. Atwood

Scott X. Atwood is a scholar working on Dermatology, Urology and Cell Biology, having authored 39 papers that have together received 2.0k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (16 papers), Genetic and rare skin diseases. (7 papers), Single-cell and spatial transcriptomics (6 papers), Cancer and Skin Lesions (6 papers), Skin and Cellular Biology Research (3 papers), Hair Growth and Disorders (3 papers), Epigenetics and DNA Methylation (3 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Dermatology (244 citations), Cell Biology (418 citations) and Molecular Biology (1.6k citations). Scott X. Atwood has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Anthony E. Oro, Kenneth E. Prehoda, Jean Y. Tang, Anne Lynn S. Chang, Mischa L. Covington, Ramon J. Whitson, Kavita Y. Sarin, Alex Lee, Qing Nie and Adam R. Stabell. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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