Lina Chen

16.6k total citations
268 papers, 6.2k citations indexed

About

Lina Chen is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Lina Chen has authored 268 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 144 papers in Molecular Biology, 28 papers in Genetics and 26 papers in Cancer Research. Recurrent topics in Lina Chen's work include Bioinformatics and Genomic Networks (38 papers), RNA modifications and cancer (18 papers) and Computational Drug Discovery Methods (18 papers). Lina Chen is often cited by papers focused on Bioinformatics and Genomic Networks (38 papers), RNA modifications and cancer (18 papers) and Computational Drug Discovery Methods (18 papers). Lina Chen collaborates with scholars based in China, Canada and United States. Lina Chen's co-authors include Gerald W. Zamponi, Ping Zhu, Kerry Fenwick, Iwanka Kozarewa, Christopher J. Lord, Ioannis Assiotis, Alan Ashworth, James Campbell, Zhenbiao Wu and Xueyi Li and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Lina Chen

249 papers receiving 6.1k citations

Peers

Lina Chen
Comparison fields: 5 of 171
  • Molecular Biology 3.2k
  • Oncology 1.1k
  • Immunology 870
  • Cancer Research 754
  • Physiology 646
Replace Young Yang with:
Young Yang South Korea
Kenichi Yoshida Japan
Qiang Shen China
Lin Gao China
Wen Fu Taiwan
Takashi Okamoto Japan
Alan W. Stitt United Kingdom
Xiaohua Li China
Feng Jin China
Daniel Martı́n United States
Young Yang South Korea View profile →
Citations per field, relative to Lina Chen
Lina Chen · 1×
Citations per year, relative to Lina Chen
Lina Chen · 1×

Countries citing papers authored by Lina Chen

Since Specialization
Citations

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

Fields of papers citing papers by Lina Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lina Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Lina Chen. A scholar is included among the top collaborators of Lina Chen 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 Chen. Lina Chen 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 2
3 2
4 1
5 1
6 1
7 17
8 3
9 1
10 6
11 9
12 0
13 6
14 1
15 3
16 279
17 11
18
Source and sink changes of lily bulb and the transportation role of the basal plate during the development of oriental hybrid lily 'Sorbonne'.
6
19 31
20 154

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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