Xiaonong Bin

521 citations
31 papers · 362 · h-index 13

Impact in

Papers in

Xiaonong Bin

28 papers receiving 361 citations

Peers

Xiaonong Bin
Comparison fields: 5 of 34
  • Obstetrics and Gynecology 245
  • Reproductive Medicine 39
  • Cancer Research 26
  • Oncology 29
  • Epidemiology 27
Replace Nicole C.M. Visser with:
Nicole C.M. Visser Netherlands
Petra Biewenga Netherlands
Justine M. Briët Netherlands
Kuniko Utsugi Japan
Sima Kadkhodayan Iran
Ilaria Cuccu Italy
Jordan M. Newell United States
Zimin Pan China
Mae Zakhour United States
Kumio Yamamoto Japan
Xiaonong Bin relative to Nicole C.M. Visser Netherlands Nicole C.M. Visser's profile →
Citations per field
00.5×1.5×1.9×
Nicole C.M. Visser · 1×
Citations per year

Countries citing papers authored by Xiaonong Bin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaonong Bin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201043
2 201941
3 202032
4 202024
5 201922
6 202021
7 201121
8 202018
9 202115
10 201915
11 201314
12 202014
13 202212
14 202010
15 20218
16 20228
17 20208
18 20206
19 20216
20 20215

About Xiaonong Bin

Xiaonong Bin is a scholar working on Obstetrics and Gynecology, Molecular Biology, Pulmonary and Respiratory Medicine, Reproductive Medicine and Cancer Research, having authored 31 papers that have together received 362 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (25 papers), Ovarian cancer diagnosis and treatment (2 papers), Endometriosis Research and Treatment (1 paper), Cancer Genomics and Diagnostics (1 paper), Epigenetics and DNA Methylation (1 paper), Ubiquitin and proteasome pathways (1 paper), Uterine Myomas and Treatments (1 paper) and Oral health in cancer treatment (1 paper). The work is most often cited by research in Obstetrics and Gynecology (245 citations), Reproductive Medicine (39 citations), Cancer Research (26 citations), Oncology (29 citations) and Epidemiology (27 citations). Xiaonong Bin has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Chunlin Chen, Ping Liu, Jinghe Lang, Jinghe Lang, Pengfei Li, Yinyan Li, Jiachun Lü, Cong Liang, Zhumei Cui and Zhiqing Liang. Their work appears in journals such as European Journal of Surgical Oncology, Frontiers in Oncology, Gynecologic Oncology, BMC Cancer and Annals of Translational Medicine.

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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