Brian J. Reon

844 citations
11 papers · 635 · h-index 9

Impact in

Papers in

    • RNA modifications and cancer 4
    • RNA Research and Splicing 3
    • Signaling Pathways in Disease 1
    • Genomics and Phylogenetic Studies 1
    • DNA Repair Mechanisms 1
    • Cancer-related molecular mechanisms research 7

Brian J. Reon

10 papers receiving 629 citations

Peers

Brian J. Reon
Comparison fields: 5 of 59
  • Cancer Research 353
  • Physiology 37
  • Molecular Biology 457
  • Oncology 113
  • Endocrinology 15
Replace Sohini Chakraborty with:
Sohini Chakraborty India
Ali Özeş United States
Claudia Baikalov United States
Xiwang Zheng China
Dennis J. Goussetis United States
Vivien Low United States
Catarina R. Vieira Spain
Agnieszka Chęcińska Netherlands
David Svilar United States
Brian J. Reon relative to Sohini Chakraborty India Sohini Chakraborty's profile →
Citations per field
00.5×9.3×
Sohini Chakraborty · 1×
Citations per year

Countries citing papers authored by Brian J. Reon

Since Specialization
Citations

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

Fields of papers citing papers by Brian J. Reon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian J. Reon. 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 Brian J. Reon. The network helps show where Brian J. Reon may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2017168
2 2014114
3 201595
4 201479
5 201664
6 201840
7 201629
8 201226
9 201615
10 20235
11 20220

About Brian J. Reon

Brian J. Reon is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Anesthesiology and Pain Medicine, having authored 11 papers that have together received 635 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (3 papers), PARP inhibition in cancer therapy (1 paper), Signaling Pathways in Disease (1 paper), Ferroptosis and cancer prognosis (1 paper), Genomics and Phylogenetic Studies (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Cancer Research (353 citations), Physiology (37 citations), Molecular Biology (457 citations), Oncology (113 citations) and Endocrinology (15 citations). Brian J. Reon has collaborated with scholars based in United States and Japan. Frequent co-authors include Anindya Dutta, Jordan Anaya, Kouhei Sakurai, Roger Abounader, Jeffrey Gagan, Adam C. Mueller, Bijan K. Dey, Ryan M. Layer, Natalia M. Dworak and Tarek Abbas. Their work appears in journals such as Molecular Cancer Research, Molecular Cell, Neuro-Oncology, PeerJ and American Journal Of Pathology.

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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