Gui Ma

1.4k citations
40 papers · 1.0k · 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

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

Gui Ma

39 papers receiving 1.0k citations

Peers

Gui Ma
Comparison fields: 5 of 93
  • Cancer Research 355
  • Molecular Biology 608
  • Oncology 117
  • Genetics 87
  • Immunology 62
Replace Eun Ji Lee with:
Eun Ji Lee South Korea
Xiaoting Jiang China
Yongsheng Zhang China
Jun Zhao China
Bárbara Acosta‐Iborra Spain
Tymon Rubel Poland
Claire Bensard United States
Xian‐Yang Qin Japan
Chengfei Jiang China
Jee‐Youn Kim South Korea
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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202095
2 201380
3 201576
4 201875
5 201970
6 201859
7 201258
8 201848
9 201447
10 202143
11 201741
12 201139
13 201933
14 201631
15 201830
16 201227
17 202027
18 202022
19 201916
20 201816

About Gui Ma

Gui Ma is a scholar working on Cancer Research, Molecular Biology, Genetics, Oncology and Pulmonary and Respiratory Medicine, having authored 40 papers that have together received 1.0k 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), Estrogen and related hormone effects (3 papers), Kruppel-like factors research (3 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (355 citations), Molecular Biology (608 citations), Oncology (117 citations), Genetics (87 citations) and Immunology (62 citations). Gui Ma has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Pengcheng Jiang, Ying Xu, Wenbo Zhang, Jin‐Tang Dong, Liya Fu, Chen Zou, Baotong Zhang, Zhi-Gang Gong, Guohua Zhang and Zhiqian Zhang. Their work appears in journals such as Journal of Cellular Physiology, Journal of Biological Chemistry, Nature Communications, International Journal of Cancer and Oncotarget.

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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