Linyuan Qin

648 citations
40 papers · 475 indexed · h-index 14
Topics
Peptidase Inhibition and Analysis (5 papers)Birth, Development, and Health (5 papers)Pregnancy and preeclampsia studies (4 papers)
Journals
SHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & MetabolismDiabetes Care
Partner nations
ChinaSouth Sudan

In The Last Decade

Linyuan Qin

33 papers receiving 462 citations

Peers

Linyuan Qin
Comparison fields: 5 of 82
  • Molecular Biology 146
  • Endocrinology, Diabetes and Metabolism 91
  • Oncology 81
  • Cellular and Molecular Neuroscience 70
  • Cancer Research 70
Replace Ali Sazcı with:
Ali Sazcı Türkiye
Emel Ergül Türkiye
Elizabeth Silbermann United States
Sandra van den Engel Netherlands
Christian Zoellner Germany
Katrine Laura Rasmussen Denmark
Teresa Procopio Italy
L Ma United States
Arnaud Agin France
Linyuan Qin relative to Ali Sazcı Türkiye Ali Sazcı's profile →
Citations per field
00.5×3.5×
Ali Sazcı · 1×
Citations per year

Countries citing papers authored by Linyuan Qin

Since Specialization
Citations

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

Fields of papers citing papers by Linyuan Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linyuan Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Linyuan Qin. A scholar is included among the top collaborators of Linyuan 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 Linyuan Qin. Linyuan 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 1
3 0
4 3
5 0
6 1
7 3
8 9
9 1
10 7
11 13
12 10
13 19
14 17
15 13
16 27
17 29
18 34
19 20
20 10

About Linyuan Qin

Linyuan Qin is a scholar working on Obstetrics and Gynecology, Cellular and Molecular Neuroscience and Psychiatry and Mental health, having authored 40 papers that have together received 475 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (5 papers), Birth, Development, and Health (5 papers) and Pregnancy and preeclampsia studies (4 papers). The work is most often cited by research in Neurology (46 citations), Endocrinology, Diabetes and Metabolism (91 citations) and Cancer Research (70 citations). Linyuan Qin has collaborated with scholars based in China and South Sudan. Frequent co-authors include Tianpeng Zheng, Xueping Hu, Hongbo Liu, Xiaoxi Zhang, Chunhua Bei, Xiaonian Zhu, Shengkui Tan, Qinghua Li, Yihong Liu and Ren Yuan. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

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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