Anna Ma

659 citations
8 papers · 381 · h-index 5

Impact in

    • CAR-T cell therapy research
    • Peptidase Inhibition and Analysis
    • Cancer Immunotherapy and Biomarkers
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Histone Deacetylase Inhibitors Research 6
    • Protein Degradation and Inhibitors 5
    • CRISPR and Genetic Engineering 1
    • CAR-T cell therapy research 3
    • Peptidase Inhibition and Analysis 2

Anna Ma

8 papers receiving 376 citations

Peers

Anna Ma
Comparison fields: 5 of 42
  • Oncology 159
  • Genetics 47
  • Pathology and Forensic Medicine 79
  • Molecular Biology 254
  • Hematology 27
Replace Jennifer Kimberly Lue with:
Jennifer Kimberly Lue United States
Lucy Scott United Kingdom
Maciej Szydłowski Poland
Thomas Mehrling United Kingdom
Haig Inguilizian United States
Matthias Reule United Kingdom
Stephanie K. Guest United Kingdom
Joseph Castillo United States
Jan Bražina Czechia
Gary Simmons United States
Anna Ma relative to Jennifer Kimberly Lue United States Jennifer Kimberly Lue's profile →
Citations per field
00.5×4.3×
Jennifer Kimberly Lue · 1×
Citations per year

Countries citing papers authored by Anna Ma

Since Specialization
Citations

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

Fields of papers citing papers by Anna Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2016156
2 2017102
3 201467
4 201745
5 20244
6 20154
7 20132
8 20161

About Anna Ma

Anna Ma is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Hematology and Immunology, having authored 8 papers that have together received 381 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (6 papers), Protein Degradation and Inhibitors (5 papers), CAR-T cell therapy research (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Peptidase Inhibition and Analysis (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper), CRISPR and Genetic Engineering (1 paper) and Multiple Myeloma Research and Treatments (1 paper). The work is most often cited by research in Oncology (159 citations), Genetics (47 citations), Pathology and Forensic Medicine (79 citations), Molecular Biology (254 citations) and Hematology (27 citations). Anna Ma has collaborated with scholars based in United States, South Korea and Spain. Frequent co-authors include Manish R. Patel, Anas Younes, Yasuhiro Oki, Ian W. Flinn, Kevin R. Kelly, David Tuck, Jaye L. Viner, Jing Wang, Amanda Copeland and Jesús G. Berdeja. Their work appears in journals such as Blood, Journal of Clinical Oncology, Clinical Cancer Research, Annals of Oncology and Haematologica.

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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