Qin Xu

1.7k citations
61 papers · 1.1k · h-index 20

Impact in

Papers in

    • Connexins and lens biology 7
    • Signaling Pathways in Disease 5
    • Nicotinic Acetylcholine Receptors Study 4
    • Uterine Myomas and Treatments 10
    • Endometrial and Cervical Cancer Treatments 6

Qin Xu

53 papers receiving 1.1k citations

Peers

Qin Xu
Comparison fields: 5 of 75
  • Obstetrics and Gynecology 500
  • Reproductive Medicine 320
  • Cancer Research 79
  • Oncology 128
  • Immunology 95
Replace Raluca A. Budiu with:
Raluca A. Budiu United States
Kazuo Asanoma Japan
Tzyvia Rye United Kingdom
Jennelle C. Hodge United States
Maria I. Kokkinos Australia
Mara Campioni Italy
Aytekin Akyol Türkiye
F. Alameda Spain
Hisamori Kato Japan
Marina Rigau Spain
Qin Xu relative to Raluca A. Budiu United States Raluca A. Budiu's profile →
Citations per field
00.5×4.5×
Raluca A. Budiu · 1×
Citations per year

Countries citing papers authored by Qin Xu

Since Specialization
Citations

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

Fields of papers citing papers by Qin Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Qin Xu, 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 Qin Xu Line = papers co-authored together Qin Xu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022104
2 200679
3 200677
4 200570
5 201068
6 200860
7 200852
8 201144
9 201244
10 200741
11 200637
12 202035
13
Environmental exposure and risk of uterine leiomyoma: an epidemiologic survey.
201334
14 200725
15 200724
16 201624
17 201423
18 201023
19 201322
20 201420

About Qin Xu

Qin Xu is a scholar working on Molecular Biology, Obstetrics and Gynecology, Oncology, Immunology and Pulmonary and Respiratory Medicine, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Uterine Myomas and Treatments (10 papers), Connexins and lens biology (7 papers), Endometrial and Cervical Cancer Treatments (6 papers), Cancer Immunotherapy and Biomarkers (6 papers), Signaling Pathways in Disease (5 papers), Cervical Cancer and HPV Research (4 papers), Lung Cancer Research Studies (4 papers) and Nicotinic Acetylcholine Receptors Study (4 papers). The work is most often cited by research in Obstetrics and Gynecology (500 citations), Reproductive Medicine (320 citations), Cancer Research (79 citations), Oncology (128 citations) and Immunology (95 citations). Qin Xu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Takeshi Maruo, Noriyuki Ohara, Shigeki Yoshida, Richard D. Veenstra, Jiayin Wang, Régine Sitruk‐Ware, Hiroko Sasaki, Koji Nakabayashi, Akira Morikawa and Deborah A. DeManno. Their work appears in journals such as Journal of Clinical Oncology, Human Reproduction, The Journal of Clinical Endocrinology & Metabolism, BMC Medicine and Channels.

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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