Yuan Pu

29 total papers · 3.5k total citations
12 papers, 361 citations indexed

About

Yuan Pu is a scholar working on Molecular Biology, Infectious Diseases and Immunology. According to data from OpenAlex, Yuan Pu has authored 12 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Immunology. Recurrent topics in Yuan Pu's work include SARS-CoV-2 and COVID-19 Research (3 papers), Plant-Microbe Interactions and Immunity (2 papers) and Plant tissue culture and regeneration (2 papers). Yuan Pu is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), Plant-Microbe Interactions and Immunity (2 papers) and Plant tissue culture and regeneration (2 papers). Yuan Pu collaborates with scholars based in United States, China and Japan. Yuan Pu's co-authors include Xin Yin, Laura Martin‐Sancho, Sumit K. Chanda, Laura Riva, Sunnie M. Yoh, Lisa Miorin, Adolfo Garcı́a-Sastre, Kristina M. Herbert, Jun Kanamune and Chih-Cheng Yang and has published in prestigious journals such as Scientific Reports, PLoS Biology and Cell Reports.

In The Last Decade

Yuan Pu

12 papers receiving 360 citations

Hit Papers

MDA5 Governs the Innate I... 2021 2026 2022 2024 2021 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Yuan Pu 185 141 119 57 50 12 361
Anu Remm 79 0.4× 115 0.8× 106 0.9× 47 0.8× 37 0.7× 12 327
Natalia Zamorano Cuervo 198 1.1× 80 0.6× 123 1.0× 62 1.1× 58 1.2× 13 379
Bariaa Khalil 126 0.7× 91 0.6× 146 1.2× 29 0.5× 70 1.4× 12 334
Alexander H. Tavares 150 0.8× 80 0.6× 110 0.9× 31 0.5× 23 0.5× 9 308
Ann‐Kathrin Reuschl 183 1.0× 137 1.0× 80 0.7× 66 1.2× 31 0.6× 9 309
Víctor Latorre 101 0.5× 68 0.5× 130 1.1× 20 0.4× 23 0.5× 16 374
Shu Horiuchi 154 0.8× 197 1.4× 90 0.8× 76 1.3× 54 1.1× 21 400
Baohui Zhu 171 0.9× 102 0.7× 135 1.1× 27 0.5× 44 0.9× 6 340
Sofia Appelberg 179 1.0× 72 0.5× 106 0.9× 28 0.5× 31 0.6× 13 350
Ana Moran 165 0.9× 82 0.6× 55 0.5× 166 2.9× 45 0.9× 18 378

Countries citing papers authored by Yuan Pu

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Pu

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026