Xiaodan Mao

1.1k citations
60 papers · 754 · h-index 16

Impact in

  • Microbiology top 10%
    • Reproductive tract infections research
    • Cancer, Lipids, and Metabolism
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism

Papers in

Xiaodan Mao

56 papers receiving 743 citations

Peers

Xiaodan Mao
Comparison fields: 5 of 98
  • Microbiology 60
  • Cancer Research 138
  • Obstetrics and Gynecology 69
  • Aging 15
  • Reproductive Medicine 63
Replace Yu-Chih Wu with:
Yu-Chih Wu Taiwan
Canhui Cao China
Miyuki Saito Japan
Laurie Burdett United States
Mark B. Van der Hoek Australia
Luz del Carmen Alarcón‐Romero Mexico
Katsumi Tsukazaki Japan
Amy P. Schmidt United States
Vanessa Singleton United Kingdom
Xiaodan Mao relative to Yu-Chih Wu Taiwan Yu-Chih Wu's profile →
Citations per field
00.5×2.8×
Yu-Chih Wu · 1×
Citations per year

Countries citing papers authored by Xiaodan Mao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodan Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199482
2 201753
3 202343
4 202240
5 202236
6 201935
7 202133
8 202033
9 201831
10 200228
11 201822
12 202321
13 201420
14 201819
15 202217
16 201916
17 202014
18 201614
19 201813
20 202013

About Xiaodan Mao

Xiaodan Mao is a scholar working on Molecular Biology, Epidemiology, Surgery, Cancer Research and Obstetrics and Gynecology, having authored 60 papers that have together received 754 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (15 papers), Genital Health and Disease (12 papers), Endometrial and Cervical Cancer Treatments (9 papers), Cancer, Hypoxia, and Metabolism (7 papers), Cancer, Lipids, and Metabolism (6 papers), Estrogen and related hormone effects (6 papers), Reproductive tract infections research (6 papers) and Ovarian cancer diagnosis and treatment (5 papers). The work is most often cited by research in Microbiology (60 citations), Cancer Research (138 citations), Obstetrics and Gynecology (69 citations), Aging (15 citations) and Reproductive Medicine (63 citations). Xiaodan Mao has collaborated with scholars based in China, Germany and Australia. Frequent co-authors include Pengming Sun, Binhua Dong, Guanyu Ruan, Arthur J. Lustig, Huifang Lei, Jalid Sehouli, Yiyi Song, Pingping Su, Elena Ioana Braicu and Meimei Huang. Their work appears in journals such as Journal of Inflammation Research, Cancer Management and Research, International Journal of Medical Sciences, Journal of Gynecologic Oncology and Aging.

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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