Stephanie Ma

12.3k citations
125 papers · 8.8k indexed · 7 hit papers · h-index 47

Impact in

    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
  • Hepatology top 0.5%
    • Liver physiology and pathology

Papers in

    • Cancer, Hypoxia, and Metabolism 15
    • MicroRNA in disease regulation 11
    • Liver physiology and pathology 13

Stephanie Ma

118 papers receiving 8.7k citations

Hit Papers

Intestinal Akkermansia muciniphila complements the efficacy of PD1 therapy in MAFLD-related hepatocellular carcinoma 2025 · 18 citations
182007202620132019250500750

Peers

Stephanie Ma
Comparison fields: 5 of 120
  • Cancer Research 3.0k
  • Hepatology 1.4k
  • Oncology 3.9k
  • Molecular Biology 5.0k
  • Immunology 940
Replace Terence K. Lee with:
Terence K. Lee Hong Kong
Wolfgang Mikulits Austria
Isabel Fabregat Spain
Qiongzhu Dong China
Wei‐Zhong Wu China
Ju‐Seog Lee United States
Valentina M. Factor United States
Jinjun Li China
Ying‐Hong Shi China
Jian Zhou China
Stephanie Ma relative to Terence K. Lee Hong Kong Terence K. Lee's profile →
Citations per field
00.5×1.7×
Terence K. Lee · 1×
Citations per year

Countries citing papers authored by Stephanie Ma

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephanie 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 Stephanie Ma. The network helps show where Stephanie Ma may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202356
3 202335
4 2021102
5 202154
6 202127
7 202069
8 20201
9 201921
10 201973
11 201991
12 201883
13 201742
14 201748
15 2013128
16 201296
17 20115
18 201070
19 2008383
20 200790

About Stephanie Ma

Stephanie Ma is a scholar working on Cancer Research, Hepatology, Oncology, Molecular Biology and Cell Biology, having authored 125 papers that have together received 8.8k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (39 papers), Cancer, Hypoxia, and Metabolism (15 papers), Liver physiology and pathology (13 papers), MicroRNA in disease regulation (11 papers), Cancer-related gene regulation (11 papers), Epigenetics and DNA Methylation (11 papers), Ubiquitin and proteasome pathways (8 papers) and RNA modifications and cancer (8 papers). The work is most often cited by research in Cancer Research (3.0k citations), Hepatology (1.4k citations), Oncology (3.9k citations), Molecular Biology (5.0k citations) and Immunology (940 citations). Stephanie Ma has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Terence K. Lee, Xin‐Yuan Guan, Irene Oi‐Lin Ng, Kwok Wah Chan, Kwan Ho Tang, Bo‐Jian Zheng, Man Tong, Antonia Castilho, Liang Hu and Kwok‐Wah Chan. Their work appears in journals such as Cancer Research, Hepatology, Oncotarget, Nature Communications and Cell Reports.

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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