Lin Qi

7.5k citations
274 papers · 5.2k · 1 hit paper · h-index 37

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Urology top 1%

Papers in

Lin Qi

258 papers receiving 5.2k citations

Lin Qi's Hit Papers

Functionally defined therapeutic targets in diffuse intrinsic pontine glioma 2015 · 535 citations
5350+3+7Years since publication100200300400500

Peers

Lin Qi
Comparison fields: 5 of 158
  • Cancer Research 839
  • Urology 272
  • Genetics 448
  • Pulmonary and Respiratory Medicine 828
  • Oncology 614
Replace Kazutoshi Fujita with:
Kazutoshi Fujita Japan
Lorenzo Memeo Italy
Alan R. Schned United States
Ricardo D. Coletta Brazil
Ardeshir Ghavamzadeh Iran
Stéphane Germain France
Kamran Alimoghaddam Iran
Shilpa Sharma India
Isildinha Marques dos Reis United States
Haruhito Azuma Japan
Lin Qi relative to Kazutoshi Fujita Japan Kazutoshi Fujita's profile →
Citations per field
00.5×2×3×3.7×
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 274 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Functionally defined therapeutic targets in diffuse intrinsic pontine glioma
Hit paper breakdown →
2015535
2 2017148
3 2019123
4 2021123
5 2019122
6 2019113
7 2020102
8 201595
9 201789
10 201786
11 202079
12 202171
13 201069
14 202168
15 202155
16 200653
17 202353
18 201952
19 201550
20 201750

About Lin Qi

Lin Qi is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Surgery, Oncology and Molecular Biology, having authored 274 papers that have together received 5.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (21 papers), Bladder and Urothelial Cancer Treatments (17 papers), RNA modifications and cancer (16 papers), Sarcoma Diagnosis and Treatment (11 papers), Circular RNAs in diseases (11 papers), Urinary Bladder and Prostate Research (9 papers), MicroRNA in disease regulation (8 papers) and RNA Research and Splicing (7 papers). The work is most often cited by research in Cancer Research (839 citations), Urology (272 citations), Genetics (448 citations), Pulmonary and Respiratory Medicine (828 citations) and Oncology (614 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, Yuan Li, Longfei Liu, Wei He, Long Wang, Zhenyu Ou and Chao-Qian Liu. Their work appears in journals such as PLoS ONE, Scientific Reports, Frontiers in Pharmacology, Journal of Laparoendoscopic & Advanced Surgical Techniques and Medicine.

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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