Christina E. Wang

37 papers receiving 1.4k citations

Peers

Christina E. Wang
Comparison fields: 5 of 119
  • Reproductive Medicine 329
  • Endocrinology, Diabetes and Metabolism 417
  • Virology 60
  • Behavioral Neuroscience 36
  • Microbiology 64
Replace Christian J. Gruber with:
Christian J. Gruber Austria
Jing Cheng China
Sandra Kammerman United States
Masaharu Kamada Japan
Yukihiro Nagata Japan
Mohammad Kazemi Arababadi Iran
Dong‐Mi Shin South Korea
Hongwei Gao China
James Paul Porter United States
Paulsen Ca Italy
Christina E. Wang relative to Christian J. Gruber Austria Christian J. Gruber's profile →
Citations per field
00.5×2×2.8×
Christian J. Gruber · 1×
Citations per year

Countries citing papers authored by Christina E. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Christina E. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christina E. Wang. 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 Christina E. Wang. The network helps show where Christina E. Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991155
2 2001151
3 2018139
4 1992137
5 197897
6 198095
7 202186
8 200084
9 198257
10 198251
11 201849
12 201744
13 199243
14 198242
15 202139
16 202127
17 202127
18 202220
19 198915
20 198712

About Christina E. Wang

Christina E. Wang is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Cardiology and Cardiovascular Medicine, Genetics and Molecular Biology, having authored 37 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (4 papers), Estrogen and related hormone effects (3 papers), Hedgehog Signaling Pathway Studies (3 papers), Cancer-related gene regulation (3 papers), Genetic and Kidney Cyst Diseases (3 papers), Hormonal and reproductive studies (3 papers), Sperm and Testicular Function (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Reproductive Medicine (329 citations), Endocrinology, Diabetes and Metabolism (417 citations), Virology (60 citations), Behavioral Neuroscience (36 citations) and Microbiology (64 citations). Christina E. Wang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Gregory F. Erickson, Aaron J.W. Hsueh, Steven Y.W. Chan, Meike L. Uhler, Vivian W. Chan, Chi Sing Andrew LEUNG, ROSE T. T. YEUNG, Vivian Chan, Mire Zloh and Ronald S. Swerdloff. Their work appears in journals such as Molecular and Cellular Endocrinology, Obstetrical & Gynecological Survey, Clinical Endocrinology, Endocrinology and Journal of Cardiovascular Development and Disease.

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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