Fei Lan

1.3k citations
21 papers · 488 · h-index 10

Impact in

    • Hypothalamic control of reproductive hormones
    • Ovarian function and disorders
  • Genetics top 10%
    • Congenital Ear and Nasal Anomalies
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities

Papers in

Fei Lan

20 papers receiving 480 citations

Peers

Fei Lan
Comparison fields: 5 of 73
  • Reproductive Medicine 127
  • Genetics 86
  • Urology 21
  • Developmental Neuroscience 12
  • Genetics 85
Replace A. Barreca with:
A. Barreca Italy
Eun‐Young Kim South Korea
Şehime Gülsün Temel Türkiye
Megumi Inuzuka Japan
Gail J. Pyne United States
Alexandre Chamouni France
B. Velkeniers Belgium
Georgiann Baker United States
Julia M. Polak United Kingdom
Kathleen E. Rodgers United States
Fei Lan relative to A. Barreca Italy A. Barreca's profile →
Citations per field
00.5×11.3×
A. Barreca · 1×
Citations per year

Countries citing papers authored by Fei Lan

Since Specialization
Citations

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

Fields of papers citing papers by Fei Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008237
2 201735
3 202229
4 201628
5 202226
6 201221
7 201821
8 202020
9 202216
10 201914
11 20229
12 20226
13 20146
14 20195
15 20185
16 20134
17 20202
18 20222
19 20091
20
[Application of dexmedetomidine for brain nuclei lesion of patients with Parkinson's disease].
20131

About Fei Lan

Fei Lan is a scholar working on Surgery, Molecular Biology, Cognitive Neuroscience, Neurology and Anesthesiology and Pain Medicine, having authored 21 papers that have together received 488 indexed citations. Recurring topics across this work include Anesthesia and Pain Management (3 papers), Functional Brain Connectivity Studies (3 papers), Orthopedic Surgery and Rehabilitation (1 paper), Optical Imaging and Spectroscopy Techniques (1 paper), Spinal Dysraphism and Malformations (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Atomic and Subatomic Physics Research (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Reproductive Medicine (127 citations), Genetics (86 citations), Urology (21 citations), Developmental Neuroscience (12 citations) and Genetics (85 citations). Fei Lan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hyung‐Goo Kim, Ingo Kurth, David Bick, Soo Hyun Eom, Irene Meliciani, Gil Bu Kang, Wolfgang Wenzel, Lawrence C. Layman, Georg Rosenberger and Richard J. Sherins. Their work appears in journals such as Frontiers in Neurology, BMC Anesthesiology, Scientific Reports, Journal of Neuroinflammation and Journal of Pain Research.

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.

Explore authors with similar magnitude of impact