Ding-An Mao

842 citations
32 papers · 609 · h-index 12

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Nephrology top 10%
    • Parathyroid Disorders and Treatments

Papers in

Ding-An Mao

29 papers receiving 601 citations

Peers

Ding-An Mao
Comparison fields: 5 of 80
  • Cancer Research 213
  • Nephrology 59
  • Biological Psychiatry 14
  • Pharmacology 85
  • Molecular Biology 309
Replace Lijun Chi with:
Lijun Chi Canada
Furu Wang China
Samantha Moore United Kingdom
Yue Xia China
Christopher J. Pelham United States
Liming Zhang China
Hanbin Wang China
Laura Bierhansl Germany
Ping Fan China
Ding-An Mao relative to Lijun Chi Canada Lijun Chi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ding-An Mao

Since Specialization
Citations

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

Fields of papers citing papers by Ding-An Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ding-An Mao. 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 Ding-An Mao. The network helps show where Ding-An Mao may publish in the future.

Co-authors

The 25 scholars most cited alongside Ding-An Mao, 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 Ding-An Mao Line = papers co-authored together Ding-An Mao 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 2012140
2 2013116
3 201081
4 201635
5 201732
6 201328
7 201626
8 201524
9 202222
10 202217
11 201716
12 202111
13 202111
14 20228
15 20205
16 20215
17 20215
18 20234
19 20194
20
[Investigation on the behavior problems of children aged 3 to 5 years in Changsha and comparison of the norm of Conners Parent Symptom Questionnaire in Chinese and American urban children].
20114

About Ding-An Mao

Ding-An Mao is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Clinical Biochemistry and Developmental Neuroscience, having authored 32 papers that have together received 609 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Metabolism and Genetic Disorders (5 papers), Anesthesia and Neurotoxicity Research (4 papers), RNA Research and Splicing (3 papers), RNA regulation and disease (3 papers), MicroRNA in disease regulation (3 papers), Circular RNAs in diseases (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Cancer Research (213 citations), Nephrology (59 citations), Biological Psychiatry (14 citations), Pharmacology (85 citations) and Molecular Biology (309 citations). Ding-An Mao has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Xiao‐Bo Liao, Ling‐Qing Yuan, Liqun Liu, Rongrong Cui, Lingjuan Liu, Yi Liang, Xiangcheng Zhu, G. Liu, Liang Qin and Shanshan Wu. Their work appears in journals such as Frontiers in Pediatrics, Frontiers in Immunology, BMC Neuroscience, Frontiers in Neurology and Scientific Reports.

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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