Maya A. Deyssenroth
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies 11
- Gestational Diabetes Research and Management 5
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- Birth, Development, and Health 21
- Prenatal Substance Exposure Effects 5
- Prenatal Screening and Diagnostics 5
- Pollution top 10%
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- Epigenetics and DNA Methylation 11
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- Genetic Syndromes and Imprinting 7
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- Maternal Mental Health During Pregnancy and Postpartum 4
- Co-authors
- Jia ChenCarmen J. MarsitLuca LambertiniKe HaoShouneng PengTodd M. EversonBrian P. JacksonBeizhan Yan
- Cited by
- Obstetrics and GynecologyPediatrics, Perinatology and Child HealthHealth, Toxicology and Mutagenesis
- Journals
- Nature Communications (1 paper)PLoS ONE (2 papers)The Science of The Total Environment (1 paper)
- Partner nations
- United StatesSouth AfricaIsrael
In The Last Decade
Maya A. Deyssenroth
32 papers receiving 616 citations
Peers
Comparison fields: 5 of 67
- Obstetrics and Gynecology 207
- Pediatrics, Perinatology and Child Health 331
- Health, Toxicology and Mutagenesis 193
- Pollution 86
- Cancer Research 51
Countries citing papers authored by Maya A. Deyssenroth
This map shows the geographic impact of Maya A. Deyssenroth'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 Maya A. Deyssenroth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya A. Deyssenroth more than expected).
Fields of papers citing papers by Maya A. Deyssenroth
This network shows the impact of papers produced by Maya A. Deyssenroth. 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 Maya A. Deyssenroth. The network helps show where Maya A. Deyssenroth may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maya A. Deyssenroth, 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 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 18 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 43 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 21 | |
| 11 | 2022 | 2 | |
| 12 | 2020 | 14 | |
| 13 | 2020 | 20 | |
| 14 | 2019 | 25 | |
| 15 | 2019 | 13 | |
| 16 | 2019 | 19 | |
| 17 | 2018 | 34 | |
| 18 | 2018 | 15 | |
| 19 | 2017 | 49 | |
| 20 | 2017 | 31 |
About Maya A. Deyssenroth
Maya A. Deyssenroth is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Health, Toxicology and Mutagenesis, having authored 33 papers that have together received 623 indexed citations. Recurring topics across this work include Birth, Development, and Health (21 papers), Pregnancy and preeclampsia studies (11 papers), Epigenetics and DNA Methylation (11 papers), Genetic Syndromes and Imprinting (7 papers), Gestational Diabetes Research and Management (5 papers), Prenatal Substance Exposure Effects (5 papers), Prenatal Screening and Diagnostics (5 papers) and Maternal Mental Health During Pregnancy and Postpartum (4 papers). The work is most often cited by research in Obstetrics and Gynecology (207 citations), Pediatrics, Perinatology and Child Health (331 citations) and Health, Toxicology and Mutagenesis (193 citations). Maya A. Deyssenroth has collaborated with scholars based in United States, South Africa and Israel. Frequent co-authors include Jia Chen, Carmen J. Marsit, Luca Lambertini, Ke Hao, Shouneng Peng, Todd M. Everson, Brian P. Jackson, Beizhan Yan, Joel Schwartz and Julie B. Herbstman. Their work appears in journals such as Nature Communications, PLoS ONE and The Science of The Total Environment.
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.