Todd Riley

3.9k total citations · 1 hit paper
13 papers, 3.0k citations indexed

About

Todd Riley is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Todd Riley has authored 13 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Epidemiology. Recurrent topics in Todd Riley's work include Genomics and Chromatin Dynamics (6 papers), Ubiquitin and proteasome pathways (3 papers) and RNA Research and Splicing (3 papers). Todd Riley is often cited by papers focused on Genomics and Chromatin Dynamics (6 papers), Ubiquitin and proteasome pathways (3 papers) and RNA Research and Splicing (3 papers). Todd Riley collaborates with scholars based in United States, Canada and Finland. Todd Riley's co-authors include Arnold J. Levine, Eduardo D. Sontag, Patricia Chen, Harmen J. Bussemaker, Richard S. Mann, Tianyin Zhou, Remo Rohs, Namiko Abe, Matthew Slattery and George K. Michalopoulos and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Reviews Molecular Cell Biology.

In The Last Decade

Todd Riley

13 papers receiving 2.9k citations

Hit Papers

Transcriptional control of human p53-regulated genes 2008 2026 2014 2020 2008 500 1000 1.5k

Peers

Todd Riley
Comparison fields: 5 of 109
  • Molecular Biology 2.2k
  • Oncology 896
  • Cancer Research 430
  • Hepatology 325
  • Surgery 307
Replace Yoshitaka Hippo with:
Yoshitaka Hippo Japan
Darjus F. Tschaharganeh Germany
Frauke Bataille Germany
Tianzuo Zhan Germany
Giacomo Manenti Italy
Manfred Jücker Germany
Adam S. Adler United States
Henrik S. Huitfeldt Norway
Guang‐Hui Xiao United States
Huamei Tang China
Yoshitaka Hippo Japan View profile →
Citations per field, relative to Todd Riley
Todd Riley · 1×
Citations per year, relative to Todd Riley
Todd Riley · 1×

Countries citing papers authored by Todd Riley

Since Specialization
Citations

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

Fields of papers citing papers by Todd Riley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Todd Riley

This figure shows the co-authorship network connecting the top 25 collaborators of Todd Riley. A scholar is included among the top collaborators of Todd Riley 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 Todd Riley. Todd Riley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 8
2 12
3 8
4 30
5 65
6 264
7 119
8 98
9 380
10 103
11 11
12
Transcriptional control of human p53-regulated genes breakdown →
1507
13 390

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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