Sai Ma
Impact in
- Reproductive Medicine top 5%
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
Papers in
- Genetics 35
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 14
- Co-authors
- Jason D. BuenrostroVictor ChowChang LuCaleb A. LareauAviv RegevMichael SeidVinay K. KarthaSoeren Mattke
- Journals
- Fertility and Sterility (10 papers)Human Reproduction (8 papers)Journal of Assisted Reproduction and Genetics (5 papers)Pesticide Biochemistry and Physiology (4 papers)Injury Prevention (4 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Sai Ma
141 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Reproductive Medicine 244
- Molecular Biology 1.9k
- Biophysics 156
- Pediatrics, Perinatology and Child Health 532
- Cancer Research 368
Countries citing papers authored by Sai Ma
This map shows the geographic impact of Sai Ma'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 Sai Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sai Ma more than expected).
Fields of papers citing papers by Sai Ma
This network shows the impact of papers produced by Sai Ma. 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 Sai Ma. The network helps show where Sai Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Sai Ma, 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 | 9 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 14 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 101 | |
| 9 | 2022 | 20 | |
| 10 | Spatial profiling of chromatin accessibility in mouse and human tissues Hit paper breakdown → | 2022 | 199 |
| 11 | 2022 | 14 | |
| 12 | 2022 | 17 | |
| 13 | 2021 | 17 | |
| 14 | 2021 | 107 | |
| 15 | 2021 | 18 | |
| 16 | 2020 | 176 | |
| 17 | 2019 | 16 | |
| 18 | 2012 | 31 | |
| 19 | 2011 | 34 | |
| 20 | 2006 | 15 |
About Sai Ma
Sai Ma is a scholar working on Genetics, Reproductive Medicine, Pediatrics, Perinatology and Child Health, Molecular Biology and Developmental Neuroscience, having authored 143 papers that have together received 4.0k indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (18 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (14 papers), Single-cell and spatial transcriptomics (13 papers), Epigenetics and DNA Methylation (11 papers), Healthcare Policy and Management (10 papers), Microfluidic and Bio-sensing Technologies (10 papers), Assisted Reproductive Technology and Twin Pregnancy (9 papers) and CRISPR and Genetic Engineering (8 papers). The work is most often cited by research in Reproductive Medicine (244 citations), Molecular Biology (1.9k citations), Biophysics (156 citations), Pediatrics, Perinatology and Child Health (532 citations) and Cancer Research (368 citations). Sai Ma has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Jason D. Buenrostro, Victor Chow, Chang Lu, Caleb A. Lareau, Aviv Regev, Michael Seid, Vinay K. Kartha, Soeren Mattke, Yan Hu and Andrew Earl. Their work appears in journals such as Fertility and Sterility, Human Reproduction, Journal of Assisted Reproduction and Genetics, Pesticide Biochemistry and Physiology and Injury Prevention.
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.