Javier Rivera Guzman

639 total citations
10 papers, 538 citations indexed

About

Javier Rivera Guzman is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Javier Rivera Guzman has authored 10 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Javier Rivera Guzman's work include Cell death mechanisms and regulation (4 papers), Food Quality and Safety Studies (2 papers) and Tea Polyphenols and Effects (2 papers). Javier Rivera Guzman is often cited by papers focused on Cell death mechanisms and regulation (4 papers), Food Quality and Safety Studies (2 papers) and Tea Polyphenols and Effects (2 papers). Javier Rivera Guzman collaborates with scholars based in United States, Canada and South Korea. Javier Rivera Guzman's co-authors include Christian Jobin, David B. Donner, Chandrashekhar K. Korgaonkar, Lindsey D. Mayo, Osman N. Özeş, Roxana Pincheira, Qiutang Li, Jason A. Gustin, Hakan Akça and Mark W. Jackson and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Blood.

In The Last Decade

Javier Rivera Guzman

8 papers receiving 530 citations

Peers

Javier Rivera Guzman
Comparison fields: 5 of 79
  • Molecular Biology 338
  • Oncology 151
  • Cancer Research 121
  • Immunology 88
  • Pathology and Forensic Medicine 56
Replace Ki Cheong Park with:
Ki Cheong Park South Korea
Nethaji Muniraj United States
Abdul Basit Baba India
Bobak Parang United States
Yujiao Cai China
Deepak Poudyal United States
Yun Zhou China
Alessandra Dicitore Italy
Yougen Wu China
Xiaoren Zhang United States
Ki Cheong Park South Korea View profile →
Citations per field, relative to Javier Rivera Guzman
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Citations per year, relative to Javier Rivera Guzman
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Countries citing papers authored by Javier Rivera Guzman

Since Specialization
Citations

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

Fields of papers citing papers by Javier Rivera Guzman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Rivera Guzman

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 17
2 0
3 0
4 100
5 45
6 71
7
Inhibition of caspase-3 by Survivin prevents Wee1 Kinase degradation and promotes cell survival by maintaining phosphorylation of p34Cdc2.
11
8 1
9 125
10 168

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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