Lingzhi Qin

791 citations
41 papers · 319 indexed · h-index 11
Topics
NF-κB Signaling Pathways (4 papers)Ferroptosis and cancer prognosis (3 papers)Neuroinflammation and Neurodegeneration Mechanisms (3 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports

In The Last Decade

Lingzhi Qin

33 papers receiving 311 citations

Peers

Lingzhi Qin
Comparison fields: 5 of 70
  • Molecular Biology 134
  • Pulmonary and Respiratory Medicine 74
  • Cancer Research 74
  • Immunology 49
  • Oncology 41
Replace Genmao Cao with:
Genmao Cao China
Remco Haasdijk Netherlands
Nobufumi Sekino Japan
Yicun Wang China
Xuan Shi China
Bin Lin China
Carmen Gutiérrez‐Muñoz Spain
Sarah Franco United States
Zusen Ye China
Cindy Park‐Windhol United States
Lingzhi Qin relative to Genmao Cao China Genmao Cao's profile →
Citations per field
00.5×9.7×
Genmao Cao · 1×
Citations per year

Countries citing papers authored by Lingzhi Qin

Since Specialization
Citations

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

Fields of papers citing papers by Lingzhi Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingzhi Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Lingzhi Qin. A scholar is included among the top collaborators of Lingzhi Qin 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 Lingzhi Qin. Lingzhi Qin 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 0
2 0
3 6
4 0
5 1
6 7
7 0
8 3
9 5
10 8
11 5
12 33
13 19
14 10
15 5
16 24
17 5
18 19
19 7
20
Expression of papillary thyroid carcinoma-associated molecular markers and their significance in follicular epithelial dysplasia with papillary thyroid carcinoma-like nuclear alterations in Hashimoto's thyroiditis.
33

About Lingzhi Qin

Lingzhi Qin is a scholar working on Cancer Research, Neurology and Microbiology, having authored 41 papers that have together received 319 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (4 papers), Ferroptosis and cancer prognosis (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Cancer Research (74 citations), Neurology (25 citations) and Immunology (49 citations). Lingzhi Qin has collaborated with scholars based in China, United States and Eritrea. Frequent co-authors include Shenghui Qin, Liwei Liu, Chao Zhang, Renliang Wu, Liwei Liu, Zhihao Wang, Chao Zhang, Xi Wang, Yan Jin and Qing Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific 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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