Xian‐Jun Qu

4.8k citations
133 papers · 3.9k indexed · h-index 37

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Drug Transport and Resistance Mechanisms 14
    • Peptidase Inhibition and Analysis 14
    • Chemokine receptors and signaling 8
    • Protease and Inhibitor Mechanisms 11
    • Cancer-related molecular mechanisms research 8

Xian‐Jun Qu

131 papers receiving 3.8k citations

Peers

Xian‐Jun Qu
Comparison fields: 5 of 121
  • Cancer Research 987
  • Hepatology 289
  • Oncology 943
  • Molecular Biology 2.1k
  • Immunology 550
Replace Fengtian He with:
Fengtian He China
Young‐Ah Suh South Korea
Tinghong Ye China
Shuang‐En Chuang Taiwan
Chung-Wai Shiau Taiwan
Xiao‐Feng Zhu China
Concetta Bubici United States
Joong Sup Shim Macao
Dipali Sharma United States
Brigitte Marian Austria
Xian‐Jun Qu relative to Fengtian He China Fengtian He's profile →
Citations per field
00.5×1.5×
Fengtian He · 1×
Citations per year

Countries citing papers authored by Xian‐Jun Qu

Since Specialization
Citations

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

Fields of papers citing papers by Xian‐Jun Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xian‐Jun Qu. 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 Xian‐Jun Qu. The network helps show where Xian‐Jun Qu may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Xian‐Jun Qu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xian‐Jun Qu Line = papers co-authored together Xian‐Jun Qu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202310
2 20226
3 202215
4 20224
5 202030
6 202010
7 201937
8 201748
9 201539
10 201527
11 2015106
12 201529
13 201522
14 201483
15 20148
16 201332
17 20126
18 20126
19 201136
20 200610

About Xian‐Jun Qu

Xian‐Jun Qu is a scholar working on Oncology, Cancer Research, Molecular Biology, Pathology and Forensic Medicine and Toxicology, having authored 133 papers that have together received 3.9k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (14 papers), Peptidase Inhibition and Analysis (14 papers), Sphingolipid Metabolism and Signaling (11 papers), Protease and Inhibitor Mechanisms (11 papers), Cancer Mechanisms and Therapy (10 papers), Cancer therapeutics and mechanisms (9 papers), Cancer-related molecular mechanisms research (8 papers) and Chemokine receptors and signaling (8 papers). The work is most often cited by research in Cancer Research (987 citations), Hepatology (289 citations), Oncology (943 citations), Molecular Biology (2.1k citations) and Immunology (550 citations). Xian‐Jun Qu has collaborated with scholars based in China, Canada and Japan. Frequent co-authors include Shu‐Xiang Cui, Zu‐Hua Gao, Xinfeng Yu, Zhiyu Song, Wei Tang, Shiyue Sun, Xiaohui Wang, Ye Li, Yanna Cheng and Xue Xia. Their work appears in journals such as Biomedicine & Pharmacotherapy, Cancer Letters, European Journal of Medicinal Chemistry, European Journal of Pharmacology and Oncology Reports.

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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