Danni Zhou

29 papers receiving 339 citations

Peers

Danni Zhou
Comparison fields: 5 of 75
  • Reproductive Medicine 130
  • Immunology 115
  • Public Health, Environmental and Occupational Health 119
  • Obstetrics and Gynecology 31
  • Pediatrics, Perinatology and Child Health 63
Replace F. Sergent with:
F. Sergent France
Takashi Kameda Japan
Kunkun Song China
Parvin Fallahi Iran
Zhang-Hong Ke China
Elisa M. Jorgensen United States
Astrud Tuck Australia
Esma Sarıkaya Türkiye
Lejun Li China
Anupam Kaur India
Danni Zhou relative to F. Sergent France F. Sergent's profile →
Citations per field
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Citations per year

Countries citing papers authored by Danni Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Danni Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201657
2 201843
3 201536
4 202020
5 201819
6 201818
7 201818
8 202317
9 202016
10 201715
11 201813
12 20219
13 20179
14 20226
15 20206
16 20195
17 20234
18 20154
19 20224
20 20253

About Danni Zhou

Danni Zhou is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Reproductive Medicine, Immunology and Pediatrics, Perinatology and Child Health, having authored 35 papers that have together received 342 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (6 papers), Endometriosis Research and Treatment (4 papers), Reproductive System and Pregnancy (4 papers), Assisted Reproductive Technology and Twin Pregnancy (4 papers), Ovarian function and disorders (3 papers), Reproductive Health and Technologies (3 papers), Lipid metabolism and biosynthesis (2 papers) and Metamaterials and Metasurfaces Applications (2 papers). The work is most often cited by research in Reproductive Medicine (130 citations), Immunology (115 citations), Public Health, Environmental and Occupational Health (119 citations), Obstetrics and Gynecology (31 citations) and Pediatrics, Perinatology and Child Health (63 citations). Danni Zhou has collaborated with scholars based in China, Madagascar and Ireland. Frequent co-authors include Tailang Yin, Jing Yang, Jinli Ding, Wangming Xu, Nan Yu, Ping Liang, Tingyu Gong, Jun Su, Jing Wang and Ling Tang. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, Journal of Assisted Reproduction and Genetics, Frontiers in Genetics, Agronomy and Phytotherapy Research.

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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