Wei Wei Le

1.7k citations
20 papers · 1.3k · h-index 17

Impact in

Papers in

Wei Wei Le

20 papers receiving 1.3k citations

Peers

Wei Wei Le
Comparison fields: 5 of 83
  • Reproductive Medicine 674
  • Endocrine and Autonomic Systems 366
  • Behavioral Neuroscience 93
  • Cellular and Molecular Neuroscience 194
  • Genetics 283
Replace Stéphanie L. Padilla with:
Stéphanie L. Padilla United States
Catherine A. Christian United States
Norio Iijima Japan
Jean‐Rémi Pape France
Tomoko Soga Malaysia
Jens D. Mikkelsen Denmark
Patrick Chappell United States
Xinhuai Liu New Zealand
Steven P. Kleopoulos United States
Phoebe Dewing United States
Wei Wei Le relative to Stéphanie L. Padilla United States Stéphanie L. Padilla's profile →
Citations per field
00.5×1.6×
Stéphanie L. Padilla · 1×
Citations per year

Countries citing papers authored by Wei Wei Le

Since Specialization
Citations

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

Fields of papers citing papers by Wei Wei Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2007426
2 1995137
3 200883
4 199975
5 200571
6 201069
7 200860
8 200159
9 201256
10 200155
11 201054
12 201140
13 200537
14 200834
15 200430
16 201925
17 201319
18 200010
19
[Effect of electroacupuncture of "Fenglong" (ST 40) on levels of blood lipid and macrophage TNF-alpha and IL-6 in hyperlipidemic rats].
20135
20
[Effect of electroacupuncture at fenglong (ST40) on expressions of inflammatory factors in macrophages of hyperlipidemia model rats].
20133

About Wei Wei Le

Wei Wei Le is a scholar working on Reproductive Medicine, Molecular Biology, Endocrine and Autonomic Systems, Genetics and Social Psychology, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (6 papers), Neuroendocrine regulation and behavior (4 papers), Stress Responses and Cortisol (4 papers), Ovarian function and disorders (3 papers), Regulation of Appetite and Obesity (3 papers), Neuroscience of respiration and sleep (3 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Sleep and Wakefulness Research (2 papers). The work is most often cited by research in Reproductive Medicine (674 citations), Endocrine and Autonomic Systems (366 citations), Behavioral Neuroscience (93 citations), Cellular and Molecular Neuroscience (194 citations) and Genetics (283 citations). Wei Wei Le has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Gloria E. Hoffman, Risto Lapatto, Felecia Cerrato, Dongsheng Zhang, Stephanie B. Seminara, Yee-Ming Chan, J. Carl Pallais, Luciane V. Sita, Michael Koban and Anne Z. Murphy. Their work appears in journals such as Endocrinology, Brain Research, SLEEP, Journal of Histochemistry & Cytochemistry and The Journal of Comparative Neurology.

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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