Lin Qi

7.3k citations
279 papers · 4.2k · h-index 34

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
  • Urology top 1%
    • Urinary Bladder and Prostate Research

Papers in

Lin Qi

258 papers receiving 4.2k citations

Peers

Lin Qi
Comparison fields: 5 of 153
  • Cancer Research 760
  • Urology 251
  • Pulmonary and Respiratory Medicine 636
  • Oncology 501
  • Surgery 776
Replace Kazutoshi Fujita with:
Kazutoshi Fujita Japan
Chang Yin Liang China
Ardeshir Ghavamzadeh Iran
Zhangqun Ye China
Lianming Liao China
Jie Cai United States
Nobuo Shinohara Japan
Takahiro Kimura Japan
Hideyasu Matsuyama Japan
Ricardo D. Coletta Brazil
Lin Qi relative to Kazutoshi Fujita Japan Kazutoshi Fujita's profile →
Citations per field
00.5×1.5×
Kazutoshi Fujita · 1×
Citations per year

Countries citing papers authored by Lin Qi

Since Specialization
Citations

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

Fields of papers citing papers by Lin Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 279 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017139
2 2021119
3 2019113
4 2019107
5 202099
6 201593
7 201789
8 202078
9 201069
10 202166
11 202161
12 200460
13 200650
14 201949
15 201549
16 202146
17 202044
18 202344
19 201744
20 201544

About Lin Qi

Lin Qi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Cancer Research and Oncology, having authored 279 papers that have together received 4.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (21 papers), Bladder and Urothelial Cancer Treatments (16 papers), RNA modifications and cancer (15 papers), Sarcoma Diagnosis and Treatment (12 papers), Circular RNAs in diseases (11 papers), Urinary Bladder and Prostate Research (9 papers), MicroRNA in disease regulation (9 papers) and Prostate Cancer Diagnosis and Treatment (8 papers). The work is most often cited by research in Cancer Research (760 citations), Urology (251 citations), Pulmonary and Respiratory Medicine (636 citations), Oncology (501 citations) and Surgery (776 citations). Lin Qi has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiongbing Zu, Zhihong Li, Chao Tu, Minfeng Chen, Longfei Liu, Yuan Li, Wei He, Long Wang, Zhenyu Ou and Yan Guo. Their work appears in journals such as PLoS ONE, Scientific Reports, Journal of Laparoendoscopic & Advanced Surgical Techniques, Medicine and Frontiers in Pharmacology.

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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