Danhui Ma

1.0k citations
13 papers · 539 · h-index 10

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
    • Peptidase Inhibition and Analysis

Papers in

    • Cancer-related molecular mechanisms research 4
    • Protein Degradation and Inhibitors 3
    • Ubiquitin and proteasome pathways 3
    • RNA Interference and Gene Delivery 2
    • Genomics and Phylogenetic Studies 1

Danhui Ma

13 papers receiving 535 citations

Peers

Danhui Ma
Comparison fields: 5 of 74
  • Hematology 66
  • Oncology 150
  • Molecular Biology 388
  • Cancer Research 54
  • Genetics 19
Replace Chu Myong Seong with:
Chu Myong Seong South Korea
Yangxin Fu Canada
Yuichiro Nakata Japan
Silvia Grassilli Italy
Silvia Licciulli United States
Ju In Eom South Korea
Giulia Biondani Italy
Yu-Gang Song China
Jenny M. Kreahling United States
Sainan An China
Danhui Ma relative to Chu Myong Seong South Korea Chu Myong Seong's profile →
Citations per field
00.5×10×20×30×44.7×
Chu Myong Seong · 1×
Citations per year

Countries citing papers authored by Danhui Ma

Since Specialization
Citations

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

Fields of papers citing papers by Danhui Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2019246
2 202056
3 201850
4 202450
5 202136
6 202124
7 201721
8 202117
9 202015
10 202114
11 20218
12 20241
13 20251

About Danhui Ma

Danhui Ma is a scholar working on Cancer Research, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Developmental Neuroscience, having authored 13 papers that have together received 539 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Protein Degradation and Inhibitors (3 papers), Ubiquitin and proteasome pathways (3 papers), RNA Interference and Gene Delivery (2 papers), Cancer-related Molecular Pathways (2 papers), Genomics and Phylogenetic Studies (1 paper), CAR-T cell therapy research (1 paper) and IL-33, ST2, and ILC Pathways (1 paper). The work is most often cited by research in Hematology (66 citations), Oncology (150 citations), Molecular Biology (388 citations), Cancer Research (54 citations) and Genetics (19 citations). Danhui Ma has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Yutian Zou, Yinyin Wang, Mengdi Li, Zhijie Chang, Guangqi Song, Heming Wang, Shi‐Yong Sun, Jun Chu, Shihua Luo and Yicheng Zhao. Their work appears in journals such as Frontiers in Oncology, Theranostics, Cell Biochemistry and Function, ACS Applied Materials & Interfaces and Science.

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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