Suoling Zhou

883 citations
16 papers · 701 indexed · h-index 14

Impact in

Papers in

Suoling Zhou

16 papers receiving 695 citations

Peers

Suoling Zhou
Comparison fields: 5 of 74
  • Genetics 259
  • Reproductive Medicine 68
  • Cancer Research 101
  • Molecular Biology 449
  • Endocrinology, Diabetes and Metabolism 90
Replace Smitha Yerrum with:
Smitha Yerrum United States
Petra Koza‐Taylor United States
Chiara Baldacci Italy
Dwight E. Saunders United States
Nicole A. Marjon United States
Toshiaki Utsumi Japan
Virginia Novaro Argentina
Krista A. Riggs United States
Juergen Fingerle Switzerland
José Manuel García-Martínez Spain
Suoling Zhou relative to Smitha Yerrum United States Smitha Yerrum's profile →
Citations per field
00.5×3.6×
Smitha Yerrum · 1×
Citations per year

Countries citing papers authored by Suoling Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Suoling Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2014144
2 2009128
3 201568
4 201052
5 200751
6 200649
7 201737
8 201529
9 201328
10 200425
11 200923
12 200722
13 201522
14 200814
15 20148
16
Genetic disruption of the p27kip1 confers antiestrogen insensitivity and metastasis potential on human breast cancer cells
20061

About Suoling Zhou

Suoling Zhou is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Toxicology, Cancer Research and Oncology, having authored 16 papers that have together received 701 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (8 papers), Cancer-related Molecular Pathways (3 papers), Epigenetics and DNA Methylation (3 papers), Hormonal Regulation and Hypertension (3 papers), Prostate Cancer Treatment and Research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Genetics (259 citations), Reproductive Medicine (68 citations), Cancer Research (101 citations), Molecular Biology (449 citations) and Endocrinology, Diabetes and Metabolism (90 citations). Suoling Zhou has collaborated with scholars based in United States, China and Norway. Frequent co-authors include Jianming Xu, Lan Liao, Zhaoliang Liu, Xian Chen, Bert W. O’Malley, Marvin L. Meistrich, Jean C. Tien, Yang Yu, David M. Lonard and Timothy Palzkill. Their work appears in journals such as Cancer Research, International Journal of Biological Sciences, Molecular Endocrinology, Cell Metabolism and Endocrinology.

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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