Pingping Lv

49 papers receiving 1.0k citations

Peers

Pingping Lv
Comparison fields: 5 of 102
  • Reproductive Medicine 244
  • Obstetrics and Gynecology 141
  • Pediatrics, Perinatology and Child Health 209
  • Public Health, Environmental and Occupational Health 206
  • Immunology 154
Replace Song Quan with:
Song Quan China
Gökhan Akkoyunlu Türkiye
Ya‐Jing Tan China
Tong Sun China
Anna P. Ponnampalam New Zealand
Marie Pantaleon Australia
Weijie Yang China
Aylin Yaba Türkiye
JeHoon Lee United States
Aiyue Luo China
Pingping Lv relative to Song Quan China Song Quan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Pingping Lv

Since Specialization
Citations

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

Fields of papers citing papers by Pingping Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022111
2 2014102
3 201586
4 201285
5 200355
6 201052
7 201849
8 201848
9 201139
10 201438
11 202036
12 201535
13 201532
14 201531
15 201422
16 202122
17 202222
18 201718
19 201917
20 201917

About Pingping Lv

Pingping Lv is a scholar working on Reproductive Medicine, Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Rehabilitation and Immunology, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Prosthetics and Rehabilitation Robotics (6 papers), Ovarian function and disorders (6 papers), Reproductive System and Pregnancy (5 papers), Birth, Development, and Health (5 papers), Muscle activation and electromyography studies (5 papers), Gestational Diabetes Research and Management (4 papers), Epigenetics and DNA Methylation (4 papers) and Reproductive Biology and Fertility (4 papers). The work is most often cited by research in Reproductive Medicine (244 citations), Obstetrics and Gynecology (141 citations), Pediatrics, Perinatology and Child Health (209 citations), Public Health, Environmental and Occupational Health (206 citations) and Immunology (154 citations). Pingping Lv has collaborated with scholars based in China, Thailand and United States. Frequent co-authors include Jian‐Zhong Sheng, Chun Feng, Guolian Ding, He-Feng Huang, Fan Qu, He‐Feng Huang, Min Jin, Lijun Yin, Dan Zhang and Ai-Xia Liu. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, The FASEB Journal, BMC Medicine, Journal of Assisted Reproduction and Genetics and Scientific Reports.

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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