Hanlee P. Ji

388 total papers · 18.2k total citations
130 papers, 7.6k citations indexed

About

Hanlee P. Ji is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Hanlee P. Ji has authored 130 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Molecular Biology, 44 papers in Cancer Research and 31 papers in Oncology. Recurrent topics in Hanlee P. Ji's work include Cancer Genomics and Diagnostics (42 papers), Genomics and Phylogenetic Studies (24 papers) and Single-cell and spatial transcriptomics (21 papers). Hanlee P. Ji is often cited by papers focused on Cancer Genomics and Diagnostics (42 papers), Genomics and Phylogenetic Studies (24 papers) and Single-cell and spatial transcriptomics (21 papers). Hanlee P. Ji collaborates with scholars based in United States, Australia and South Korea. Hanlee P. Ji's co-authors include Jay Shendure, Noemi Andor, Billy T. Lau, Carlo C. Maley, Susan M. Grimes, Anuja Sathe, Xiaoling Zhang, HoJoon Lee, Athena Aktipis and Claudia Petritsch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Medicine.

In The Last Decade

Hanlee P. Ji

124 papers receiving 7.4k citations

Hit Papers

Next-generation DNA seque... 2008 2026 2014 2020 2008 2015 500 1000 1.5k 2.0k 2.5k

Author Peers

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

Author Last Decade Papers Cites
Hanlee P. Ji 4.7k 1.8k 1.4k 1.1k 662 130 7.6k
John D. McPherson 6.6k 1.4× 1.8k 1.0× 2.2k 1.5× 1.1k 1.0× 371 0.6× 145 11.3k
Jeffrey T. Chang 6.5k 1.4× 1.6k 0.9× 880 0.6× 1.5k 1.4× 413 0.6× 109 9.4k
Robert S. Fulton 4.7k 1.0× 1.1k 0.6× 1.7k 1.2× 689 0.6× 314 0.5× 85 7.9k
Kai Ye 5.1k 1.1× 2.5k 1.4× 1.9k 1.3× 1.7k 1.5× 861 1.3× 190 10.9k
Robert L. Strausberg 6.3k 1.3× 1.5k 0.8× 1.4k 1.0× 1.0k 0.9× 321 0.5× 75 8.7k
Riza M. Daza 6.5k 1.4× 2.2k 1.2× 1.1k 0.8× 711 0.7× 309 0.5× 35 8.4k
Eivind Hovig 5.9k 1.3× 2.3k 1.3× 1.1k 0.8× 2.2k 2.1× 567 0.9× 217 8.9k
Jian‐Bing Fan 6.0k 1.3× 1.9k 1.1× 1.6k 1.1× 707 0.7× 274 0.4× 133 8.7k
Philippe Dessen 6.3k 1.3× 1.9k 1.1× 1.2k 0.8× 2.3k 2.1× 427 0.6× 167 10.5k
Mike Strauss 7.3k 1.5× 926 0.5× 1.7k 1.2× 2.9k 2.7× 317 0.5× 158 10.7k

Countries citing papers authored by Hanlee P. Ji

Since Specialization
Citations

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

Fields of papers citing papers by Hanlee P. Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanlee P. Ji

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