Lan Shen

34 papers receiving 630 citations

Peers

Lan Shen
Comparison fields: 5 of 81
  • Cancer Research 136
  • Applied Microbiology and Biotechnology 14
  • Developmental Neuroscience 24
  • Molecular Biology 368
  • Cellular and Molecular Neuroscience 73
Replace Sergei Romanov with:
Sergei Romanov United States
Zahida Qamri United States
Guowei Shi China
Yan Long China
Zhao-Liang Sun China
Sylvia Y. Low United Kingdom
Natalja Timohhina Estonia
Lan Shen relative to Sergei Romanov United States Sergei Romanov's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lan Shen

Since Specialization
Citations

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

Fields of papers citing papers by Lan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201877
2 201165
3 201953
4 201847
5 200838
6 201936
7 201033
8 201031
9 200731
10 201127
11 201227
12 201925
13 201418
14 202017
15 202016
16 202214
17 202114
18 201812
19
Effects of Ligusticum chuanxiong and Gastrodia elata on blood-brain barrier permeability in migraine rats.
20158
20 20217

About Lan Shen

Lan Shen is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 38 papers that have together received 638 indexed citations. Recurring topics across this work include Circular RNAs in diseases (4 papers), Cardiac Imaging and Diagnostics (4 papers), MicroRNA in disease regulation (4 papers), Lung Cancer Treatments and Mutations (4 papers), Cardiac Arrhythmias and Treatments (3 papers), Plant Stress Responses and Tolerance (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Atrial Fibrillation Management and Outcomes (3 papers). The work is most often cited by research in Cancer Research (136 citations), Applied Microbiology and Biotechnology (14 citations), Developmental Neuroscience (24 citations), Molecular Biology (368 citations) and Cellular and Molecular Neuroscience (73 citations). Lan Shen has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Xuejun Chen, Chunxiao Yan, Jianhua Yang, Ancai Yuan, Jun Pu, Min Cai, Min Fang, Dawei Jiang, Xuefeng Wang and Jie Zhang. Their work appears in journals such as Frontiers in Cardiovascular Medicine, The Plant Journal, International Journal of Medical Sciences, Archives of Gynecology and Obstetrics and Annals of Translational 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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