Mei‐Leng Cheong

731 citations
31 papers · 518 indexed · h-index 13

Impact in

Papers in

Mei‐Leng Cheong

30 papers receiving 506 citations

Peers

Mei‐Leng Cheong
Comparison fields: 5 of 70
  • Obstetrics and Gynecology 186
  • Biochemistry 83
  • Pediatrics, Perinatology and Child Health 156
  • Endocrinology, Diabetes and Metabolism 60
  • Reproductive Medicine 26
Replace B. Wetzka with:
B. Wetzka Germany
Dong-bao Chen United States
R. Sangha United Kingdom
Thomas J. Lechuga United States
Évemie Dubé Canada
Bok-Ghee Han South Korea
Ryan Faucette United States
T.M. Mignot France
Holly A. Cyphert United States
Masaaki Hasegawa Japan
Mei‐Leng Cheong relative to B. Wetzka Germany B. Wetzka's profile →
Citations per field
00.5×5.7×
B. Wetzka · 1×
Citations per year

Countries citing papers authored by Mei‐Leng Cheong

Since Specialization
Citations

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

Fields of papers citing papers by Mei‐Leng Cheong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei‐Leng Cheong. 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 Mei‐Leng Cheong. The network helps show where Mei‐Leng Cheong may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20230
2 202226
3 20213
4 201929
5 20164
6 201516
7 20151
8 20139
9 20113
10 201029
11 20102
12 20106
13 200922
14 20091
15 2009140
16 200715
17 20067
18 20052
19 200414
20 200219

About Mei‐Leng Cheong

Mei‐Leng Cheong is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Cancer Research, Reproductive Medicine and Orthopedics and Sports Medicine, having authored 31 papers that have together received 518 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (11 papers), Pregnancy and preeclampsia studies (10 papers), MicroRNA in disease regulation (5 papers), Parvovirus B19 Infection Studies (4 papers), Renal and related cancers (3 papers), Birth, Development, and Health (3 papers), Neonatal Respiratory Health Research (2 papers) and Reproductive System and Pregnancy (2 papers). The work is most often cited by research in Obstetrics and Gynecology (186 citations), Biochemistry (83 citations), Pediatrics, Perinatology and Child Health (156 citations), Endocrinology, Diabetes and Metabolism (60 citations) and Reproductive Medicine (26 citations). Mei‐Leng Cheong has collaborated with scholars based in Taiwan, United States and Singapore. Frequent co-authors include Hungwen Chen, Liangjie Wang, Ming‐Song Tsai, Chi–Liang Eric Yen, Jinny S. Wong, Carrie A. Grueter, Robert V. Farese, Brian K. Hubbard, Stephen Marmor and Ping Zhou. Their work appears in journals such as Acta Obstetricia Et Gynecologica Scandinavica, Fetal Diagnosis and Therapy, Molecular and Cellular Biology, Nature Medicine and Autism 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.

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