Scott M. Thacher

51 total papers · 1.9k total citations
36 papers, 1.6k citations indexed

About

Scott M. Thacher is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Scott M. Thacher has authored 36 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Cell Biology and 9 papers in Genetics. Recurrent topics in Scott M. Thacher's work include Retinoids in leukemia and cellular processes (14 papers), Skin and Cellular Biology Research (11 papers) and Estrogen and related hormone effects (9 papers). Scott M. Thacher is often cited by papers focused on Retinoids in leukemia and cellular processes (14 papers), Skin and Cellular Biology Research (11 papers) and Estrogen and related hormone effects (9 papers). Scott M. Thacher collaborates with scholars based in United States, Ireland and Japan. Scott M. Thacher's co-authors include Robert H. Rice, Roshantha A.S. Chandraratna, Vidyasagar Vuligonda, Peter J. Davies, Sunil Nagpal, Madeleine Duvic, Elliott Klein, Anton M. Jetten, Arnold R. Brody and A. T. Charlie Johnson and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Scott M. Thacher

36 papers receiving 1.5k citations

Hit Papers

Keratinocyte-specific tra... 1985 2026 1998 2012 1985 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Scott M. Thacher 807 538 327 257 181 36 1.6k
Serge Michel 780 1.0× 234 0.4× 95 0.3× 203 0.8× 202 1.1× 33 1.4k
Marco Ranalli 1.2k 1.5× 290 0.5× 184 0.6× 252 1.0× 197 1.1× 32 2.0k
Alan N. Moshell 811 1.0× 357 0.7× 74 0.2× 214 0.8× 167 0.9× 40 1.9k
Irma Gimenez‐Conti 1.3k 1.6× 308 0.6× 203 0.6× 240 0.9× 251 1.4× 60 2.4k
Wojciech Jóźwicki 522 0.6× 343 0.6× 135 0.4× 157 0.6× 402 2.2× 63 1.8k
Thomas J. Hornyak 810 1.0× 533 1.0× 199 0.6× 112 0.4× 262 1.4× 41 1.6k
F C Ramaekers 839 1.0× 398 0.7× 81 0.2× 273 1.1× 102 0.6× 27 1.5k
S H Yuspa 1.5k 1.8× 802 1.5× 92 0.3× 234 0.9× 211 1.2× 40 2.4k
Sofie Claerhout 999 1.2× 482 0.9× 105 0.3× 62 0.2× 268 1.5× 24 1.9k
Claudio J. Conti 1.4k 1.8× 314 0.6× 161 0.5× 214 0.8× 213 1.2× 59 2.2k

Countries citing papers authored by Scott M. Thacher

Since Specialization
Citations

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

Fields of papers citing papers by Scott M. Thacher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott M. Thacher

This figure shows the co-authorship network connecting the top 25 collaborators of Scott M. Thacher. A scholar is included among the top collaborators of Scott M. Thacher based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Scott M. Thacher. Scott M. Thacher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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