Christopher A. Kus
Impact in
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- Assisted Reproductive Technology and Twin Pregnancy
- Infant Development and Preterm Care
- Birth, Development, and Health
- Prenatal Screening and Diagnostics
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
Papers in
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- Assisted Reproductive Technology and Twin Pregnancy 5
- Birth, Development, and Health 2
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- Metabolism and Genetic Disorders 2
- Co-authors
- Edwina Yeung (7 shared papers)Rajeshwari Sundaram (6 shared papers)Erin M. Bell (6 shared papers)Akhgar Ghassabian (4 shared papers)Germaine M. Buck Louis (4 shared papers)Charlotte M. Druschel (4 shared papers)Coleen A. Boyle (3 shared papers)Alex R. Kemper (3 shared papers)
- Journals
- Genetics in Medicine (3 papers)Human Reproduction (2 papers)JAMA Pediatrics (1 paper)PEDIATRICS (1 paper)Obesity (1 paper)
- Partner nations
- United States
In The Last Decade
Christopher A. Kus
11 papers receiving 366 citations
Peers
Comparison fields: 5 of 59
- Pediatrics, Perinatology and Child Health 230
- Clinical Biochemistry 46
- Reproductive Medicine 47
- Obstetrics and Gynecology 43
- Developmental and Educational Psychology 30
Countries citing papers authored by Christopher A. Kus
This map shows the geographic impact of Christopher A. Kus'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 Christopher A. Kus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher A. Kus more than expected).
Fields of papers citing papers by Christopher A. Kus
This network shows the impact of papers produced by Christopher A. Kus. 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 Christopher A. Kus. The network helps show where Christopher A. Kus may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher A. Kus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 88 | |
| 2 | 2014 | 73 | |
| 3 | 2008 | 55 | |
| 4 | 2016 | 50 | |
| 5 | 2016 | 33 | |
| 6 | 2011 | 31 | |
| 7 | 2015 | 22 | |
| 8 | 2012 | 8 | |
| 9 | 2020 | 7 | |
| 10 | 2017 | 7 | |
| 11 | 2015 | 1 |
About Christopher A. Kus
Christopher A. Kus is a scholar working on Pediatrics, Perinatology and Child Health, Clinical Biochemistry, Obstetrics and Gynecology, Reproductive Medicine and Demography, having authored 11 papers that have together received 375 indexed citations. Recurring topics across this work include Assisted Reproductive Technology and Twin Pregnancy (5 papers), Metabolism and Genetic Disorders (2 papers), Reproductive Health and Technologies (2 papers), Birth, Development, and Health (2 papers), Pregnancy and preeclampsia studies (2 papers), Family Dynamics and Relationships (2 papers), Cystic Fibrosis Research Advances (1 paper) and Neuroscience of respiration and sleep (1 paper). The work is most often cited by research in Pediatrics, Perinatology and Child Health (230 citations), Clinical Biochemistry (46 citations), Reproductive Medicine (47 citations), Obstetrics and Gynecology (43 citations) and Developmental and Educational Psychology (30 citations). Christopher A. Kus has collaborated with scholars based in United States. Frequent co-authors include Edwina Yeung, Rajeshwari Sundaram, Erin M. Bell, Akhgar Ghassabian, Germaine M. Buck Louis, Charlotte M. Druschel, Coleen A. Boyle, Alex R. Kemper, Marie E. Thoma and Mary L. Hediger. Their work appears in journals such as Genetics in Medicine, Human Reproduction, JAMA Pediatrics, PEDIATRICS and Obesity.
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.