Lin Q

1.6k citations
68 papers · 1.2k · h-index 16

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Lin Q

65 papers receiving 1.2k citations

Peers

Lin Q
Comparison fields: 5 of 112
  • Genetics 327
  • Cancer Research 224
  • Oncology 377
  • Pulmonary and Respiratory Medicine 345
  • Neurology 79
Replace Tünde Szatmári with:
Tünde Szatmári Hungary
Tatsuo Morimura Japan
Angela Bentivegna Italy
Jiangfei Wang China
Xing Gong United States
Laura Giunti Italy
Sabine Mazerbourg France
Yuriko Minn United States
Denise P. Muñoz United States
Jamie N. Anastas United States
Lin Q relative to Tünde Szatmári Hungary Tünde Szatmári's profile →
Citations per field
00.5×1.7×
Tünde Szatmári · 1×
Citations per year

Countries citing papers authored by Lin Q

Since Specialization
Citations

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

Fields of papers citing papers by Lin Q

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011200
2 2010173
3 2011118
4 202171
5 201067
6 202061
7 201058
8
Long non-coding RNA NEAT1 acts as oncogene in NSCLC by regulating the Wnt signaling pathway.
201755
9 199955
10 201541
11 200032
12
A study on the role of apoptotic human umbilical cord mesenchymal stem cells in bleomycin-induced acute lung injury in rat models.
201627
13 201723
14 202023
15
Effect of Different Vegetation Systems on Soil Erosion and Soil Nutrients in Red Soil Region of Southeastern China
200321
16 202316
17 201713
18 201512
19
ON THE FOSSIL BLATTOIDEA OF CHINA
197811
20 201610

About Lin Q

Lin Q is a scholar working on Epidemiology, Genetics, Oncology, Immunology and Molecular Biology, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (10 papers), Meningioma and schwannoma management (6 papers), Cancer Research and Treatments (4 papers), Neurofibromatosis and Schwannoma Cases (4 papers), Reproductive System and Pregnancy (4 papers), Neonatal Respiratory Health Research (4 papers), Cancer Cells and Metastasis (3 papers) and Brain Metastases and Treatment (3 papers). The work is most often cited by research in Genetics (327 citations), Cancer Research (224 citations), Oncology (377 citations), Pulmonary and Respiratory Medicine (345 citations) and Neurology (79 citations). Lin Q has collaborated with scholars based in China, United States and France. Frequent co-authors include Isaiah J. Fidler, Dominic Fan, Weihua Zhang, Seung Wook Kim, Sun-Jin Kim, Krishnakumar Balasubramanian, Lixia Guo, Hua Wang, Menashe Bar‐Eli and Sun‐Jin Kim. Their work appears in journals such as Frontiers in Oncology, Neoplasia, European Journal of Nuclear Medicine and Molecular Imaging, International Journal of Epidemiology and Cancer.

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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