Rina Fong

29 total papers · 2.2k total citations
8 papers, 640 citations indexed

About

Rina Fong is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Rina Fong has authored 8 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Epidemiology. Recurrent topics in Rina Fong's work include Influenza Virus Research Studies (2 papers), RNA and protein synthesis mechanisms (2 papers) and Antimicrobial Resistance in Staphylococcus (2 papers). Rina Fong is often cited by papers focused on Influenza Virus Research Studies (2 papers), RNA and protein synthesis mechanisms (2 papers) and Antimicrobial Resistance in Staphylococcus (2 papers). Rina Fong collaborates with scholars based in United States, Singapore and Switzerland. Rina Fong's co-authors include Patrick J. Lupardus, Zora Modrušan, Inna Zilberleyb, Christine Tam, Grazyna Fedorowicz, Lars Neumann, Christopher M. Koth, Robert Mintzer, Janet L. Gunzner and Pascal Steiner and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Cell Host & Microbe.

In The Last Decade

Rina Fong

8 papers receiving 622 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rina Fong 418 178 116 111 111 8 640
M. Fleur Sernee 288 0.7× 251 1.4× 74 0.6× 52 0.5× 57 0.5× 15 721
Alun Bermingham 522 1.2× 99 0.6× 151 1.3× 132 1.2× 171 1.5× 16 772
Arthur C. Switchenko 383 0.9× 92 0.5× 53 0.5× 23 0.2× 113 1.0× 10 719
Jasna Ćurak 482 1.2× 100 0.6× 165 1.4× 39 0.4× 122 1.1× 10 786
Natalia V. Ortiz Zacarı́as 385 0.9× 102 0.6× 174 1.5× 50 0.5× 27 0.2× 18 718
J.-P. Marquette 357 0.9× 264 1.5× 47 0.4× 61 0.5× 48 0.4× 9 640
Ying Fu 238 0.6× 156 0.9× 103 0.9× 94 0.8× 113 1.0× 19 692
I. Feil 342 0.8× 64 0.4× 31 0.3× 62 0.6× 59 0.5× 12 599
Christine Röder 240 0.6× 119 0.7× 155 1.3× 128 1.2× 134 1.2× 15 699
Tracy L. Hutchison 431 1.0× 457 2.6× 30 0.3× 272 2.5× 89 0.8× 11 792

Countries citing papers authored by Rina Fong

Since Specialization
Citations

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

Fields of papers citing papers by Rina Fong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rina Fong

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

All Works

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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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