Linling Ju

481 citations
41 papers · 314 · h-index 11

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Lipids, and Metabolism
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Glycosylation and Glycoproteins Research

Papers in

    • Circular RNAs in diseases 10
    • RNA modifications and cancer 6
    • MicroRNA in disease regulation 13
    • Cancer-related molecular mechanisms research 6

Linling Ju

36 papers receiving 312 citations

Peers

Linling Ju
Comparison fields: 5 of 52
  • Cancer Research 113
  • Molecular Biology 208
  • Hepatology 22
  • Pulmonary and Respiratory Medicine 69
  • Immunology 44
Replace Er‐Bin Zhang with:
Er‐Bin Zhang China
Xianju Qin China
Huike Jiao China
Jingsheng Yuan China
Aya Shiba‐Ishii Japan
Letizia Satriano Denmark
Mario Schindeldecker Germany
Yimin Xiong China
Mujian Teng China
Atsutaka Masuda Japan
Linling Ju relative to Er‐Bin Zhang China Er‐Bin Zhang's profile →
Citations per field
00.5×2.7×
Er‐Bin Zhang · 1×
Citations per year

Countries citing papers authored by Linling Ju

Since Specialization
Citations

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

Fields of papers citing papers by Linling Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201747
2 201526
3 202125
4 202021
5 202318
6 202118
7 201816
8 202314
9 202014
10 201913
11 201813
12 20149
13 20228
14 20207
15 20236
16 20216
17 20226
18 20255
19 20245
20 20215

About Linling Ju

Linling Ju is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Immunology and Pulmonary and Respiratory Medicine, having authored 41 papers that have together received 314 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (13 papers), Circular RNAs in diseases (10 papers), Liver Disease Diagnosis and Treatment (7 papers), RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (6 papers), Immune Cell Function and Interaction (5 papers), Ferroptosis and cancer prognosis (5 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Cancer Research (113 citations), Molecular Biology (208 citations), Hepatology (22 citations), Pulmonary and Respiratory Medicine (69 citations) and Immunology (44 citations). Linling Ju has collaborated with scholars based in China, Czechia and Hong Kong. Frequent co-authors include Lin Chen, Jianguo Shao, Zhaolian Bian, Yifan Wang, Junhong Li, Weihua Cai, Yunsen Li, Yanping Wang, Qing Xie and Xiang Ji. Their work appears in journals such as Scientific Reports, World Journal of Gastroenterology, Frontiers in Immunology, Aging and Oncology 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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