Linda Zhang

3.5k citations
63 papers · 2.3k indexed · 3 hit papers · h-index 24
Topics
RNA modifications and cancer (20 papers)Cancer-related molecular mechanisms research (8 papers)RNA Research and Splicing (8 papers)

In The Last Decade

Linda Zhang

61 papers receiving 2.3k citations

Hit Papers

Microbial metabolism of dietary components to bioactive m...2016202620192022201620192022100200300

Peers

Linda Zhang
Comparison fields: 5 of 115
  • Molecular Biology 1.7k
  • Cancer Research 620
  • Physiology 241
  • Oncology 207
  • Surgery 155
Replace Yasuhiro Irino with:
Yasuhiro Irino Japan
Majid Safa Iran
Yan Yan China
Jing Xie China
Nicola Schiavone Italy
Ana‐Maria Enciu Romania
Wilbert P. Vermeij Netherlands
Ebru Erbay United States
Jianhua Zhao China
Linda Zhang relative to Yasuhiro Irino Japan Yasuhiro Irino's profile →
Citations per field
00.5×
Yasuhiro Irino · 1×
Citations per year

Countries citing papers authored by Linda Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Linda Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Linda Zhang. A scholar is included among the top collaborators of Linda Zhang 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 Linda Zhang. Linda Zhang 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
#WorkIndexed citations
1 1
2 1
3 24
4 4
5 42
6 11
7
Quantitative sequencing using BID-seq uncovers abundant pseudouridines in mammalian mRNA at base resolutionbreakdown →
144
8 7
9 2
10 26
11 74
12 34
13 17
14 104
15 33
16 14
17 1
18 9
19 70
20 15

About Linda Zhang

Linda Zhang is a scholar working on Biochemistry, Internal Medicine and Cancer Research, having authored 63 papers that have together received 2.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (20 papers), Cancer-related molecular mechanisms research (8 papers) and RNA Research and Splicing (8 papers). The work is most often cited by research in Cancer Research (620 citations), Biological Psychiatry (70 citations) and Molecular Biology (1.7k citations). Linda Zhang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Sean S. Davies, Chuan He, Hui‐Lung Sun, Lisheng Zhang, Qing Dai, Zijie Zhang, Chang Liu, Lulu Hu, Xueyang Dong and Guan‐Zheng Luo. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

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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