Dennis Ma

3.0k citations
32 papers · 1.9k · 2 hit papers · h-index 21

Impact in

Papers in

Dennis Ma

32 papers receiving 1.9k citations

Dennis Ma's Hit Papers

Defining the emergence of myeloid-derived suppressor cells in breast cancer using single-cell transcriptomics 2020 · 322 citations
3220+2+4Years since publication100200300

Peers

Dennis Ma
Comparison fields: 5 of 128
  • Cancer Research 322
  • Immunology 424
  • Orthodontics 82
  • Rehabilitation 120
  • Oncology 468
Replace Feifei Li with:
Feifei Li China
Sanjeev K. Srivastava United States
Junjun Chen China
Shuhong Wu China
Eugene Mochan United States
Wenping Luo China
Kaishan Tao China
Andrea L. Kasinski United States
Li‐Xi Yang United States
Min Xiao China
Dennis Ma relative to Feifei Li China Feifei Li's profile →
Citations per field
00.5×10×20×27.3×
Feifei Li · 1×
Citations per year

Countries citing papers authored by Dennis Ma

Since Specialization
Citations

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

Fields of papers citing papers by Dennis Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Single-cell analysis reveals fibroblast heterogeneity and myeloid-derived adipocyte progenitors in murine skin wounds
Hit paper breakdown →
2019358
2
Defining the emergence of myeloid-derived suppressor cells in breast cancer using single-cell transcriptomics
Hit paper breakdown →
2020322
3 2018230
4 2020200
5 2014104
6 201387
7 202164
8 201459
9 201054
10 201647
11 201741
12 201132
13 201431
14 202330
15 201730
16 201429
17 201829
18 201229
19 201726
20 201725

About Dennis Ma

Dennis Ma is a scholar working on Organic Chemistry, Molecular Biology, Pharmacology, Pharmacology and Oncology, having authored 32 papers that have together received 1.9k indexed citations. Recurring topics across this work include Chemical synthesis and alkaloids (9 papers), Alkaloids: synthesis and pharmacology (5 papers), Marine Sponges and Natural Products (4 papers), Cancer Cells and Metastasis (3 papers), Advanced Synthetic Organic Chemistry (3 papers), Immune cells in cancer (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Cancer Research (322 citations), Immunology (424 citations), Orthodontics (82 citations), Rehabilitation (120 citations) and Oncology (468 citations). Dennis Ma has collaborated with scholars based in Canada, United States and Saudi Arabia. Frequent co-authors include Kai Kessenbrock, Siyaram Pandey, Devon A. Lawson, Quy Nguyen, Grace A. Hernandez, Nicholas Pervolarakis, Hamad Alshetaiwi, Katrina Evans, Kerrigan Blake and Jan A. Rath. Their work appears in journals such as PLoS ONE, Scientific Reports, Nature Communications, Journal of Visualized Experiments and Nature Cell Biology.

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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