Cong Ma

3.9k citations
113 papers · 3.3k · 1 hit paper · h-index 29

Impact in

Papers in

Cong Ma

110 papers receiving 3.2k citations

Cong Ma's Hit Papers

miR-19 is a key oncogenic component of mir-17-92 2009 · 507 citations
5070+5+11Years since publication100200300400500

Peers

Cong Ma
Comparison fields: 5 of 112
  • Cancer Research 749
  • Molecular Medicine 169
  • Organic Chemistry 1.0k
  • Molecular Biology 1.7k
  • Toxicology 80
Replace Xianzhang Bu with:
Xianzhang Bu China
Jiyong Hong United States
Ivanhoe K. H. Leung New Zealand
Takeo Usui Japan
Akane Kawamura United Kingdom
Anindita Chakrabarty India
Chakrabhavi Dhananjaya Mohan India
Shobith Rangappa India
Sushil Kumar India
Shijun Wen China
Cong Ma relative to Xianzhang Bu China Xianzhang Bu's profile →
Citations per field
00.5×1.6×
Xianzhang Bu · 1×
Citations per year

Countries citing papers authored by Cong Ma

Since Specialization
Citations

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

Fields of papers citing papers by Cong Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1
miR-19 is a key oncogenic component of mir-17-92
Hit paper breakdown →
2009507
2 2019171
3 2018149
4 2014121
5 2013115
6 2018112
7 2016107
8 2021105
9 201590
10 201878
11 201958
12 201956
13 201856
14 201352
15 201847
16 201545
17
Synergistic reversal effect of epithelial-to-mesenchymal transition by miR-223 inhibitor and genistein in gemcitabine-resistant pancreatic cancer cells.
201641
18 201340
19 201439
20 201837

About Cong Ma

Cong Ma is a scholar working on Molecular Biology, Organic Chemistry, Genetics, Oncology and Cancer Research, having authored 113 papers that have together received 3.3k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (17 papers), RNA and protein synthesis mechanisms (16 papers), Antibiotic Resistance in Bacteria (12 papers), MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (8 papers), Bacteriophages and microbial interactions (8 papers), Chemical Synthesis and Analysis (8 papers) and Synthesis and biological activity (7 papers). The work is most often cited by research in Cancer Research (749 citations), Molecular Medicine (169 citations), Organic Chemistry (1.0k citations), Molecular Biology (1.7k citations) and Toxicology (80 citations). Cong Ma has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Xiao Yang, Peter J. Lewis, Lin He, Carlos Cordon‐Cardo, Virginie Olive, James C. Walker, M Bennett, Iris Jiang, Qi-Jing Li and Scott W. Lowe. Their work appears in journals such as European Journal of Medicinal Chemistry, Molecules, Bioorganic Chemistry, Journal of Medicinal Chemistry and Organic Letters.

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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