Renqi Xu

10 total papers · 942 total citations
9 papers, 717 citations indexed

About

Renqi Xu is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Renqi Xu has authored 9 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Oncology and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Renqi Xu's work include Ubiquitin and proteasome pathways (6 papers), Protein Degradation and Inhibitors (6 papers) and Peptidase Inhibition and Analysis (6 papers). Renqi Xu is often cited by papers focused on Ubiquitin and proteasome pathways (6 papers), Protein Degradation and Inhibitors (6 papers) and Peptidase Inhibition and Analysis (6 papers). Renqi Xu collaborates with scholars based in United States and Poland. Renqi Xu's co-authors include Jeanne A. Stuckey, Longchuan Bai, Jennifer L. Meagher, Donna McEachern, Shaomeng Wang, Duxin Sun, Mi Wang, Bo Wen, Chao‐Yie Yang and Krishnapriya Chinnaswamy and has published in prestigious journals such as Cancer Cell, Cancer Research and Journal of Medicinal Chemistry.

In The Last Decade

Renqi Xu

9 papers receiving 713 citations

Hit Papers

A Potent and Selective Sm... 2019 2026 2021 2023 2019 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. A Potent and Selective Small-Molecule Degrader of STAT3 Achieves Complete Tumor Regression In Vivo
    2019 434 citations Longchuan Bai, Haibin Zhou et al. Cancer Cell profile →

Author Peers

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

Author Last Decade Papers Cites
Renqi Xu 537 384 166 63 62 9 717
Clara Lemos 452 0.8× 298 0.8× 198 1.2× 66 1.0× 41 0.7× 10 697
Roberta Pireddu 462 0.9× 240 0.6× 132 0.8× 96 1.5× 59 1.0× 14 715
Tadakazu Akiyama 562 1.0× 303 0.8× 116 0.7× 117 1.9× 44 0.7× 17 829
Kelly Davison 638 1.2× 143 0.4× 275 1.7× 44 0.7× 85 1.4× 13 827
Yi He Ling 580 1.1× 381 1.0× 111 0.7× 46 0.7× 66 1.1× 15 855
M Wang 503 0.9× 228 0.6× 200 1.2× 38 0.6× 50 0.8× 14 754
MV Blagosklonny 549 1.0× 186 0.5× 89 0.5× 40 0.6× 34 0.5× 9 774
Mugdha Velankar 719 1.3× 284 0.7× 263 1.6× 68 1.1× 45 0.7× 7 864
Bing An 505 0.9× 282 0.7× 58 0.3× 29 0.5× 61 1.0× 13 647
Mary Gleason-Guzman 588 1.1× 233 0.6× 65 0.4× 91 1.4× 21 0.3× 15 811

Countries citing papers authored by Renqi Xu

Since Specialization
Citations

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

Fields of papers citing papers by Renqi Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renqi Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Renqi Xu. A scholar is included among the top collaborators of Renqi Xu 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 Renqi Xu. Renqi Xu 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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2026