Lina Ma

18.7k total citations · 1 hit paper
109 papers, 3.3k citations indexed

About

Lina Ma is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Lina Ma has authored 109 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 20 papers in Cancer Research and 19 papers in Plant Science. Recurrent topics in Lina Ma's work include Cancer-related molecular mechanisms research (16 papers), RNA modifications and cancer (14 papers) and Genomics and Phylogenetic Studies (14 papers). Lina Ma is often cited by papers focused on Cancer-related molecular mechanisms research (16 papers), RNA modifications and cancer (14 papers) and Genomics and Phylogenetic Studies (14 papers). Lina Ma collaborates with scholars based in China, United States and Japan. Lina Ma's co-authors include Zhang Zhang, Vladimir B. Bajić, Chunjie Tian, Dong Zou, Lei Tian, Lin Liu, Jun Yu, Li Zhao, Wangyu Zhu and Shiquan Zhou and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Lina Ma

104 papers receiving 3.3k citations

Hit Papers

On the classification of long non-coding RNAs 2013 2026 2017 2021 2013 250 500 750 1000

Peers

Lina Ma
Comparison fields: 5 of 151
  • Molecular Biology 2.0k
  • Cancer Research 1.7k
  • Plant Science 595
  • Epidemiology 161
  • Endocrinology 140
Replace Pengfei Zhu with:
Pengfei Zhu China
Siqi Li China
Hariharan Iyer United States
Heng Zhang China
Sarath Chandra Janga United States
Joel A. Malek Qatar
Jianwei Li China
James A. Goodrich United States
Pengfei Zhu China View profile →
Citations per field, relative to Lina Ma
Lina Ma · 1×
Citations per year, relative to Lina Ma
Lina Ma · 1×

Countries citing papers authored by Lina Ma

Since Specialization
Citations

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

Fields of papers citing papers by Lina Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lina Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Lina Ma. A scholar is included among the top collaborators of Lina Ma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lina Ma. Lina Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 7
3 5
4 8
5 4
6 15
7 15
8 3
9 64
10 82
11 22
12 35
13 11
14 1
15 19
16 22
17 56
18
Preparation of silybin solid lipid nanoparticle modified by folic acid and its inhibitory effect on A549 cells
2
19 10
20 1

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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