Kuo‐Chung Lan

2.0k citations
99 papers · 1.4k indexed · h-index 23
Topics
Reproductive Biology and Fertility (33 papers)Ovarian function and disorders (27 papers)Assisted Reproductive Technology and Twin Pregnancy (21 papers)
Partner nations
TaiwanUnited StatesChina

In The Last Decade

Kuo‐Chung Lan

95 papers receiving 1.4k citations

Peers

Kuo‐Chung Lan
Comparison fields: 5 of 110
  • Reproductive Medicine 678
  • Public Health, Environmental and Occupational Health 561
  • Pediatrics, Perinatology and Child Health 435
  • Obstetrics and Gynecology 415
  • Molecular Biology 160
Replace J. Elson with:
J. Elson United Kingdom
Chad I. Friedman United States
Craig A. Winkel United States
Valerie Ratts United States
M.L. Swahn Sweden
Gregory M. Christman United States
P. Pakarinen Finland
Ercan Baştu Türkiye
A.A. Haspels Netherlands
Robert C. Wallach United States
Kuo‐Chung Lan relative to J. Elson United Kingdom J. Elson's profile →
Citations per field
00.5×1.7×
J. Elson · 1×
Citations per year

Countries citing papers authored by Kuo‐Chung Lan

Since Specialization
Citations

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

Fields of papers citing papers by Kuo‐Chung Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuo‐Chung Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Kuo‐Chung Lan. A scholar is included among the top collaborators of Kuo‐Chung Lan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kuo‐Chung Lan. Kuo‐Chung Lan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 3
3 1
4 5
5 5
6 5
7 37
8 15
9 36
10 11
11 6
12 8
13 12
14 15
15 20
16 8
17 9
18 49
19 32
20 8

About Kuo‐Chung Lan

Kuo‐Chung Lan is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Pediatrics, Perinatology and Child Health, having authored 99 papers that have together received 1.4k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (33 papers), Ovarian function and disorders (27 papers) and Assisted Reproductive Technology and Twin Pregnancy (21 papers). The work is most often cited by research in Reproductive Medicine (678 citations), Obstetrics and Gynecology (415 citations) and Pediatrics, Perinatology and Child Health (435 citations). Kuo‐Chung Lan has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Fu‐Tsai Kung, Fu-Jen Huang, Yu‐Che Ou, Pin‐Yao Lin, Te‐Yao Hsu, Hong‐Yo Kang, Ching‐Chang Tsai, Shiuh‐Young Chang, Hao Lin and Chan‐Chao ChangChien. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

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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