Lan Xia

32 papers receiving 667 citations

Peers

Lan Xia
Comparison fields: 5 of 98
  • Reproductive Medicine 99
  • Pathology and Forensic Medicine 85
  • Epidemiology 129
  • Health, Toxicology and Mutagenesis 57
  • Public Health, Environmental and Occupational Health 96
Replace Catherine A. Picut with:
Catherine A. Picut United States
Gang Ma China
Seongsoo Hwang South Korea
Antonio Barrientos‐Durán Spain
Raúl Sánchez Sánchez Spain
Yanyan Feng China
Xu Ma China
Sunil Nayak India
Hyun Hee Cho South Korea
E. Aughey United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Lan Xia

Since Specialization
Citations

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

Fields of papers citing papers by Lan Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lan 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 Lan Xia Line = papers co-authored together Lan Xia 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 2013151
2 2018101
3 201856
4 201937
5 201736
6
Metabolomic profiling of human follicular fluid from patients with repeated failure of in vitro fertilization using gas chromatography/mass spectrometry.
201434
7 201731
8
Mitochondrion and Apoptosis.
200124
9 201720
10 202319
11 202219
12 201918
13 201416
14 201815
15 202014
16 202111
17 202211
18 202011
19 20189
20 20217

About Lan Xia

Lan Xia is a scholar working on Infectious Diseases, Reproductive Medicine, Epidemiology, Public Health, Environmental and Occupational Health and Plant Science, having authored 35 papers that have together received 674 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (8 papers), Ovarian function and disorders (5 papers), Reproductive Biology and Fertility (4 papers), Reproductive System and Pregnancy (3 papers), Plant-Microbe Interactions and Immunity (3 papers), Mycobacterium research and diagnosis (3 papers), Plant Parasitism and Resistance (3 papers) and Endometriosis Research and Treatment (2 papers). The work is most often cited by research in Reproductive Medicine (99 citations), Pathology and Forensic Medicine (85 citations), Epidemiology (129 citations), Health, Toxicology and Mutagenesis (57 citations) and Public Health, Environmental and Occupational Health (96 citations). Lan Xia has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lihai Zhang, Peifu Tang, Licheng Zhang, Zhi Mao, Aijun Zhang, Chunqing He, Hongping Hou, Daohong Liu, Yunxiao Liu and Sui Zhu. Their work appears in journals such as Reproductive Biology and Endocrinology, Frontiers in Endocrinology, Emerging Microbes & Infections, Cytokine and American Journal of Infection Control.

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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