Xi Xia

54 papers receiving 1.5k citations

Xi Xia's Hit Papers

Transcriptome Landscape of Human Folliculogenesis Reveals Oocyte and Granulosa Cell Interactions 2018 · 353 citations
3530+2+5Years since publication100200300

Peers

Xi Xia
Comparison fields: 5 of 67
  • Public Health, Environmental and Occupational Health 380
  • Reproductive Medicine 105
  • Ophthalmology 63
  • Obstetrics and Gynecology 51
  • Cancer Research 62
Replace Yasushi Kawano with:
Yasushi Kawano Japan
Yoshihiko Nanbu Japan
Madhu Mati Goel India
Gajendra Kumar Katara United States
Corine R. Ghosn United States
Melissa A. Merideth United States
Amy Winship Australia
Eric Lader United States
Mojtaba Aghaei Iran
R. H. Whitehead Australia
Xi Xia relative to Yasushi Kawano Japan Yasushi Kawano's profile →
Citations per field
00.5×5×10×12.6×
Yasushi Kawano · 1×
Citations per year

Countries citing papers authored by Xi Xia

Since Specialization
Citations

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

Fields of papers citing papers by Xi Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Transcriptome Landscape of Human Folliculogenesis Reveals Oocyte and Granulosa Cell Interactions
Hit paper breakdown →
2018353
2 201772
3 201365
4 201164
5 201561
6 201655
7 201753
8 201451
9 202047
10 200446
11 200345
12 200742
13 201939
14 201838
15 199836
16 201633
17 199232
18 202131
19 201230
20 201530

About Xi Xia

Xi Xia is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Immunology, Obstetrics and Gynecology and Ophthalmology, having authored 56 papers that have together received 1.6k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (11 papers), Reproductive System and Pregnancy (5 papers), Ovarian function and disorders (4 papers), Pregnancy and preeclampsia studies (3 papers), Assisted Reproductive Technology and Twin Pregnancy (2 papers), Retinal Diseases and Treatments (2 papers), Antimicrobial Peptides and Activities (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (380 citations), Reproductive Medicine (105 citations), Ophthalmology (63 citations), Obstetrics and Gynecology (51 citations) and Cancer Research (62 citations). Xi Xia has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Timothy S. Kern, Ling Gao, Jie Qiao, Rong Li, Jie Yan, Xiaohui Zhu, Li-Ying Yan, Tailang Yin, Amanda Nicole Kallen and Ying Jiang. Their work appears in journals such as Fertility and Sterility, Biology of Reproduction, Archives of Gynecology and Obstetrics, Reproductive Biology and Endocrinology and Reproductive Sciences.

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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