Hong Ren

4 papers and 173 indexed citations i.

About

Hong Ren is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Hong Ren has authored 4 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Epidemiology. Recurrent topics in Hong Ren’s work include Lymphoma Diagnosis and Treatment (1 paper), Cancer Genomics and Diagnostics (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). Hong Ren is often cited by papers focused on Lymphoma Diagnosis and Treatment (1 paper), Cancer Genomics and Diagnostics (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). Hong Ren collaborates with scholars based in China and United States. Hong Ren's co-authors include Richard R. Furman, Nancy Whiting, Andres Forero‐Torres, Anas Younes, Jonathan G. Drachman, Ranjana H. Advani, Joseph D. Rosenblatt, Kate Harrop, Liting Song and Yuan Huang and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and Oncology Reports.

In The Last Decade

Co-authorship network of co-authors of Hong Ren i

Fields of papers citing papers by Hong Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hong Ren

Since Specialization
Citations

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

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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2025