Sai Ma

8.6k citations
143 papers · 4.0k indexed · 2 hit papers · h-index 31

Impact in

Papers in

Sai Ma

141 papers receiving 3.9k citations

Hit Papers

Spatial profiling of chromatin accessibility in mouse and human tissues 2022 · 199 citations
1992020202620222024100200300400500

Peers

Sai Ma
Comparison fields: 5 of 178
  • Reproductive Medicine 244
  • Molecular Biology 1.9k
  • Biophysics 156
  • Pediatrics, Perinatology and Child Health 532
  • Cancer Research 368
Replace Brian T. Helfand with:
Brian T. Helfand United States
Sang Eun Lee South Korea
Howard Shapiro United States
Yan Tong United States
Hidenori Takahashi Japan
Luis O. González Spain
Haiying Zhang China
Fen Wang China
Ji Youl Lee South Korea
David M. Lee United States
Sai Ma relative to Brian T. Helfand United States Brian T. Helfand's profile →
Citations per field
00.5×4.0×
Brian T. Helfand · 1×
Citations per year

Countries citing papers authored by Sai Ma

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sai Ma Line = papers co-authored together Sai Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20249
3 20242
4 20242
5 20239
6 202314
7 20222
8 2022101
9 202220
10
Spatial profiling of chromatin accessibility in mouse and human tissues
Hit paper breakdown →
2022199
11 202214
12 202217
13 202117
14 2021107
15 202118
16 2020176
17 201916
18 201231
19 201134
20 200615

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.

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