Bryan John J. Subong

410 total citations
4 papers, 289 citations indexed

About

Bryan John J. Subong is a scholar working on Infectious Diseases, Molecular Biology and Computational Mechanics. According to data from OpenAlex, Bryan John J. Subong has authored 4 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Infectious Diseases, 1 paper in Molecular Biology and 1 paper in Computational Mechanics. Recurrent topics in Bryan John J. Subong's work include SARS-CoV-2 and COVID-19 Research (2 papers), Toxin Mechanisms and Immunotoxins (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). Bryan John J. Subong is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (2 papers), Toxin Mechanisms and Immunotoxins (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). Bryan John J. Subong collaborates with scholars based in Japan, Australia and Philippines. Bryan John J. Subong's co-authors include Lakshmi C. Kasi Viswanath, Vinay R. Patel, Gerard G. Dumancas, Takeaki Ozawa, Rhodora V. Azanza, Arturo O. Lluisma and Lilibeth A. Salvador‐Reyes and has published in prestigious journals such as Toxins, Current Issues in Molecular Biology and PubMed.

In The Last Decade

Bryan John J. Subong

4 papers receiving 287 citations

Peers

Countries citing papers authored by Bryan John J. Subong

Since Specialization

Citations

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

Fields of papers citing papers by Bryan John J. Subong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan John J. Subong. 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 Bryan John J. Subong. The network helps show where Bryan John J. Subong may publish in the future.

Co-authorship network of co-authors of Bryan John J. Subong

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

All Works

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4 of 4 papers shown

#	Work	Indexed citations
1	SARS-CoV-2 Replication Revisited: Molecular Insights and Current and Emerging Antiviral Strategies 2025 ·COVID ·Bryan John J. Subong, (unknown)	2
2	Bio-Chemoinformatics-Driven Analysis of nsp7 and nsp8 Mutations and Their Effects on Viral Replication Protein Complex Stability 2024 ·Current Issues in Molecular Biology ·Bryan John J. Subong, Takeaki Ozawa	2
3	Differentiating Two Closely Related Alexandrium Species Using Comparative Quantitative Proteomics 2020 ·Toxins ·Bryan John J. Subong, Arturo O. Lluisma, Rhodora V. Azanza, Lilibeth A. Salvador‐Reyes	5
4	Castor Oil: Properties, Uses, and Optimization of Processing Parameters in Commercial Production 2016 ·PubMed ·Vinay R. Patel, Gerard G. Dumancas, Lakshmi C. Kasi Viswanath, (unknown), Bryan John J. Subong	280

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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