Lan Ma

1.7k citations
61 papers · 1.2k · h-index 20

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Research and Splicing

Papers in

    • dental development and anomalies 10
    • Circular RNAs in diseases 6
    • RNA modifications and cancer 4
    • Cleft Lip and Palate Research 25
    • Craniofacial Disorders and Treatments 15
    • Congenital Ear and Nasal Anomalies 4

Lan Ma

60 papers receiving 1.2k citations

Peers

Lan Ma
Comparison fields: 5 of 95
  • Cancer Research 523
  • Molecular Biology 704
  • Genetics 269
  • Immunology 113
  • Periodontics 19
Replace Alison R. Hayman with:
Alison R. Hayman United Kingdom
Manisha Tripathi United States
Xi Sun China
Daniele Bellavia Italy
Tania M. Schroeder United States
Zarema Arbieva United States
E. Gebhart Germany
Yun Zhu China
Chujiao Lin United States
Zhuo Lv China
Lan Ma relative to Alison R. Hayman United Kingdom Alison R. Hayman's profile →
Citations per field
00.5×2.9×
Alison R. Hayman · 1×
Citations per year

Countries citing papers authored by Lan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Lan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014124
2 201273
3 202070
4 201163
5 201356
6 201155
7 201344
8 201542
9 201940
10 201840
11 201238
12 201334
13 201430
14 201428
15 201228
16 201225
17 201523
18 201122
19 201620
20 201819

About Lan Ma

Lan Ma is a scholar working on Molecular Biology, Genetics, Cancer Research, Surgery and Pathology and Forensic Medicine, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cleft Lip and Palate Research (25 papers), Craniofacial Disorders and Treatments (15 papers), Cancer-related molecular mechanisms research (12 papers), MicroRNA in disease regulation (11 papers), dental development and anomalies (10 papers), Circular RNAs in diseases (6 papers), RNA modifications and cancer (4 papers) and Congenital Ear and Nasal Anomalies (4 papers). The work is most often cited by research in Cancer Research (523 citations), Molecular Biology (704 citations), Genetics (269 citations), Immunology (113 citations) and Periodontics (19 citations). Lan Ma has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Meilin Wang, Haiyan Chu, Na Tong, Danni Shi, Zhengdong Zhang, Dongyan Zhong, Chao Qin, Changjun Yin, Yongchu Pan and Zhengdong Zhang. Their work appears in journals such as Oral Diseases, PLoS ONE, Scientific Reports, Archives of Toxicology and Frontiers in Cell and Developmental Biology.

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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