Hong Ji

299 total papers · 17.2k total citations
221 papers, 12.6k citations indexed

About

Hong Ji is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Hong Ji has authored 221 papers receiving a total of 12.6k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Molecular Biology, 35 papers in Oncology and 31 papers in Epidemiology. Recurrent topics in Hong Ji's work include Wnt/β-catenin signaling in development and cancer (23 papers), Viral Infections and Immunology Research (21 papers) and Cancer-related gene regulation (19 papers). Hong Ji is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (23 papers), Viral Infections and Immunology Research (21 papers) and Cancer-related gene regulation (19 papers). Hong Ji collaborates with scholars based in China, United States and Australia. Hong Ji's co-authors include Richard J. Simpson, Suresh Mathivanan, David W. Greening, Bow J. Tauro, Rommel A. Mathias, Pierre D. McCrea, Rong Xu, Robert L. Moritz, Andrew M. Scott and Jae‐Il Park and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and JAMA.

In The Last Decade

Hong Ji

210 papers receiving 12.4k citations

Hit Papers

Exosomes: Extracellular o... 2009 2026 2014 2020 2010 2012 2015 2009 500 1000 1.5k 2.0k

Author Peers

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

Author Last Decade Papers Cites
Hong Ji 8.8k 4.0k 1.6k 1.4k 978 221 12.6k
Xiao Yang 10.1k 1.1× 3.0k 0.7× 2.2k 1.3× 1.5k 1.1× 1.1k 1.2× 313 15.0k
Francis Castellino 6.3k 0.7× 4.1k 1.0× 1.0k 0.6× 1.4k 1.0× 692 0.7× 418 15.0k
Thomas Bugge 4.5k 0.5× 2.3k 0.6× 1.9k 1.2× 1.6k 1.2× 670 0.7× 165 11.2k
Neil R. Hackett 7.9k 0.9× 1.8k 0.5× 2.6k 1.6× 1.4k 1.0× 1.4k 1.4× 159 13.2k
Dolores Di Vizio 8.7k 1.0× 4.5k 1.1× 1.2k 0.7× 1.1k 0.8× 1.1k 1.1× 121 11.8k
Duanqing Pei 9.0k 1.0× 3.4k 0.8× 3.0k 1.9× 800 0.6× 1.5k 1.5× 257 14.2k
David L. Huso 7.9k 0.9× 2.2k 0.6× 2.8k 1.7× 1.4k 1.0× 1.4k 1.4× 155 15.2k
Ninette Amariglio 12.1k 1.4× 4.1k 1.0× 2.4k 1.5× 2.0k 1.4× 936 1.0× 266 17.8k
Adriana Heguy 6.9k 0.8× 2.9k 0.7× 3.2k 2.0× 1.9k 1.4× 724 0.7× 177 13.9k
John E.J. Rasko 6.4k 0.7× 1.8k 0.4× 1.9k 1.2× 1.1k 0.8× 670 0.7× 238 11.0k

Countries citing papers authored by Hong Ji

Since Specialization
Citations

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

Fields of papers citing papers by Hong Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Ji. A scholar is included among the top collaborators of Hong Ji 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 Hong Ji. Hong Ji 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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