Hanrui Wu

11 total papers · 1.2k total citations
5 papers, 514 citations indexed

About

Hanrui Wu is a scholar working on Molecular Biology, Organic Chemistry and Surgery. According to data from OpenAlex, Hanrui Wu has authored 5 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 1 paper in Organic Chemistry and 1 paper in Surgery. Recurrent topics in Hanrui Wu's work include Gut microbiota and health (3 papers), Helicobacter pylori-related gastroenterology studies (1 paper) and Phytochemical Studies and Bioactivities (1 paper). Hanrui Wu is often cited by papers focused on Gut microbiota and health (3 papers), Helicobacter pylori-related gastroenterology studies (1 paper) and Phytochemical Studies and Bioactivities (1 paper). Hanrui Wu collaborates with scholars based in United States, South Africa and China. Hanrui Wu's co-authors include Samuel S. Minot, Susan Bullman, Christopher D. Johnston, Kaitlyn D. LaCourse, Jorge Luis Galeano Niño, Jeffrey Houlton, Ewa Sicińska, Neal D. Futran, Brittany Barber and Alison Taylor and has published in prestigious journals such as Nature, Nature Protocols and Gut Microbes.

In The Last Decade

Hanrui Wu

5 papers receiving 511 citations

Hit Papers

Effect of the intratumora... 2022 2026 2023 2024 2022 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Hanrui Wu 318 198 113 72 71 5 514
Alison Taylor 305 1.0× 190 1.0× 112 1.0× 66 0.9× 71 1.0× 6 517
Jorge Luis Galeano Niño 337 1.1× 205 1.0× 114 1.0× 71 1.0× 80 1.1× 8 557
Nyssa Cullin 283 0.9× 154 0.8× 45 0.4× 42 0.6× 44 0.6× 7 496
Barath Udayasuryan 301 0.9× 120 0.6× 56 0.5× 26 0.4× 34 0.5× 10 465
Miguel Marino 153 0.5× 192 1.0× 35 0.3× 102 1.4× 51 0.7× 4 465
Xiaohang Long 332 1.0× 145 0.7× 51 0.5× 39 0.5× 15 0.2× 5 462
Khiem C. Lam 292 0.9× 191 1.0× 54 0.5× 28 0.4× 32 0.5× 6 472
Chin-Chih Liu 296 0.9× 112 0.6× 39 0.3× 39 0.5× 17 0.2× 7 459
James J. Yun 260 0.8× 201 1.0× 18 0.2× 137 1.9× 23 0.3× 7 521
Sarah B. Johnson 322 1.0× 252 1.3× 63 0.6× 30 0.4× 39 0.5× 5 509

Countries citing papers authored by Hanrui Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hanrui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanrui Wu

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