Gui Ma

1.4k citations
39 papers · 993 · h-index 18

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • Cancer-related gene regulation
    • Kruppel-like factors research
    • RNA Research and Splicing

Papers in

    • RNA modifications and cancer 9
    • Cancer-related gene regulation 8
    • Epigenetics and DNA Methylation 7
    • Kruppel-like factors research 3
    • Ubiquitin and proteasome pathways 2
    • Cancer-related molecular mechanisms research 5
    • Cancer, Hypoxia, and Metabolism 5

Gui Ma

36 papers receiving 987 citations

Peers

Gui Ma
Comparison fields: 5 of 92
  • Cancer Research 349
  • Molecular Biology 589
  • Oncology 115
  • Genetics 84
  • Immunology 59
Replace Eun Ji Lee with:
Eun Ji Lee South Korea
Ajay K. Yadav India
Molishree Joshi United States
Bárbara Acosta‐Iborra Spain
Amanda Gunn United States
Amy Belton United States
Jee‐Youn Kim South Korea
Peng Yuan China
Gui Ma relative to Eun Ji Lee South Korea Eun Ji Lee's profile →
Citations per field
00.5×1.6×
Eun Ji Lee · 1×
Citations per year

Countries citing papers authored by Gui Ma

Since Specialization
Citations

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

Fields of papers citing papers by Gui Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202091
2 201377
3 201576
4 201874
5 201967
6 201258
7 201857
8 201846
9 201444
10 201742
11 202141
12 201138
13 201933
14 201830
15 201630
16 201227
17 202026
18 202018
19 201816
20 201916

About Gui Ma

Gui Ma is a scholar working on Molecular Biology, Cancer Research, Genetics, Oncology and Pulmonary and Respiratory Medicine, having authored 39 papers that have together received 993 indexed citations. Recurring topics across this work include RNA modifications and cancer (9 papers), Cancer-related gene regulation (8 papers), Epigenetics and DNA Methylation (7 papers), Cancer-related molecular mechanisms research (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Kruppel-like factors research (3 papers), Estrogen and related hormone effects (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Cancer Research (349 citations), Molecular Biology (589 citations), Oncology (115 citations), Genetics (84 citations) and Immunology (59 citations). Gui Ma has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Pengcheng Jiang, Ying Xu, Wenbo Zhang, Jin‐Tang Dong, Liya Fu, Chen Zou, Baotong Zhang, Guohua Zhang, Zhigang Gong and Weidong Qi. Their work appears in journals such as Nature Communications, Oncotarget, International Journal of Cancer, Journal of Cellular Physiology and Journal of Biological Chemistry.

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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