Keith Rivera

28 papers receiving 1.5k citations

Keith Rivera's Hit Papers

Vitamin C selectively kills KRAS and BRAF mutant colorectal cancer cells by targeting GAPDH 2015 · 696 citations
6960+3+7Years since publication200400600

Peers

Keith Rivera
Comparison fields: 5 of 95
  • Nutrition and Dietetics 341
  • Cancer Research 233
  • Molecular Biology 915
  • Endocrine and Autonomic Systems 72
  • Pathology and Forensic Medicine 190
Replace Zdena Sulová with:
Zdena Sulová Slovakia
Simona Paladino Italy
Tetsuya Hirabayashi Japan
Muriel Priault France
Dawn M. Flaherty United States
Anna Markowska Poland
José Luis Urdiales Spain
Olga Yu. Pletjushkina Russia
B Thiele Germany
Krishna R. Juluri United States
Keith Rivera relative to Zdena Sulová Slovakia Zdena Sulová's profile →
Citations per field
00.5×2.9×
Zdena Sulová · 1×
Citations per year

Countries citing papers authored by Keith Rivera

Since Specialization
Citations

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

Fields of papers citing papers by Keith Rivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Vitamin C selectively kills KRAS and BRAF mutant colorectal cancer cells by targeting GAPDH
Hit paper breakdown →
2015696
2 2015250
3 2011131
4 201453
5 201539
6 201138
7 201834
8 201831
9 201927
10 201827
11 201026
12 200925
13 201725
14 201723
15 201821
16 202118
17 202118
18 202117
19 201815
20 202111

About Keith Rivera

Keith Rivera is a scholar working on Molecular Biology, Spectroscopy, Immunology, Oncology and Cell Biology, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (5 papers), Plant and Fungal Interactions Research (3 papers), Neuroscience of respiration and sleep (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Cellular transport and secretion (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Galectins and Cancer Biology (2 papers) and Plant Virus Research Studies (2 papers). The work is most often cited by research in Nutrition and Dietetics (341 citations), Cancer Research (233 citations), Molecular Biology (915 citations), Endocrine and Autonomic Systems (72 citations) and Pathology and Forensic Medicine (190 citations). Keith Rivera has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Darryl Pappin, Christopher R. Vakoc, Jae‐Seok Roe, Ashlesha Muley, Zhengming Chen, Jihye Paik, Jatin Roper, Lewis C. Cantley, John M. Asara and Nickolas Papadopoulos. Their work appears in journals such as Molecular & Cellular Proteomics, Scientific Reports, Journal of Proteome Research, Molecular Cell and Proceedings of the National Academy of Sciences.

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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