Tom Moss

8.2k citations
144 papers · 6.4k · h-index 44

Impact in

    • Genomics and Chromatin Dynamics
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • RNA Research and Splicing
    • DNA and Nucleic Acid Chemistry
    • DNA Repair Mechanisms
    • Epigenetics and DNA Methylation
    • CRISPR and Genetic Engineering
  • Genetics top 5%

Papers in

    • RNA and protein synthesis mechanisms 46
    • RNA modifications and cancer 40
    • Genomics and Chromatin Dynamics 38
    • RNA Research and Splicing 32
    • DNA and Nucleic Acid Chemistry 16
    • Synthesis and Catalytic Reactions 7

Tom Moss

142 papers receiving 6.1k citations

Peers

Tom Moss
Comparison fields: 5 of 133
  • Molecular Biology 5.2k
  • Genetics 676
  • Cell Biology 348
  • Aging 35
  • Cancer Research 227
Replace Stephen W. Michnick with:
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Amy E. Keating United States
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Tom Moss relative to Stephen W. Michnick Canada Stephen W. Michnick's profile →
Citations per field
00.5×1.5×
Stephen W. Michnick · 1×
Citations per year

Countries citing papers authored by Tom Moss

Since Specialization
Citations

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

Fields of papers citing papers by Tom Moss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003383
2 1977288
3 1983258
4 2006255
5 1979215
6 2001214
7 1994197
8 1995194
9 2006180
10 2002177
11 2000169
12 2008168
13 1978135
14 2004133
15 2000118
16 2012109
17 1980102
18 2009101
19 197696
20 197687

About Tom Moss

Tom Moss is a scholar working on Molecular Biology, Organic Chemistry, Genetics, Cell Biology and Oncology, having authored 144 papers that have together received 6.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (46 papers), RNA modifications and cancer (40 papers), Genomics and Chromatin Dynamics (38 papers), RNA Research and Splicing (32 papers), DNA and Nucleic Acid Chemistry (16 papers), Synthesis and Catalytic Reactions (7 papers), Cellular transport and secretion (6 papers) and Hippo pathway signaling and YAP/TAZ (6 papers). The work is most often cited by research in Molecular Biology (5.2k citations), Genetics (676 citations), Cell Biology (348 citations), Aging (35 citations) and Cancer Research (227 citations). Tom Moss has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Victor Y. Stefanovsky, E. Morton Bradbury, Thérèse Gagnon-Kugler, Frédèric Langlois, Ross D. Hannan, Michel G. Tremblay, Peter D. Cary, Max L. Birnstiel, Paul Boseley and Peter Hartman. Their work appears in journals such as Nucleic Acids Research, Molecular Cell, Tetrahedron Letters, Journal of Biological Chemistry and Cell Cycle.

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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