Lan Yang

1.4k citations
55 papers · 992 · h-index 21

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Immunology top 10%
    • Immune cells in cancer

Papers in

Lan Yang

53 papers receiving 981 citations

Peers

Lan Yang
Comparison fields: 5 of 103
  • Cancer Research 257
  • Immunology 230
  • Oncology 242
  • Molecular Biology 468
  • Otorhinolaryngology 27
Replace Peter Janson with:
Peter Janson Sweden
Norihiro Harada Japan
Meeri Sutinen Finland
Misato Hirai Japan
Alessandra Filosa Italy
Kalu U.E. Ogbureke United States
Dariusz Waniczek Poland
Jaroslav Michálek Czechia
Camila Oliveira Rodini Brazil
Mauricio Rojas United States
Lan Yang relative to Peter Janson Sweden Peter Janson's profile →
Citations per field
00.5×2.7×
Peter Janson · 1×
Citations per year

Countries citing papers authored by Lan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017114
2 201561
3 201550
4 201444
5 201643
6 202043
7 201638
8 201337
9
Genetic variation in miR-100 rs1834306 is associated with decreased risk for esophageal squamous cell carcinoma in Kazakh patients in northwest China.
201537
10 201735
11 201630
12
Human papillomavirus infection correlates with inflammatory Stat3 signaling activity and IL-17 expression in patients with breast cancer.
201629
13 200929
14 201329
15 201429
16 201228
17 201325
18 201023
19 201920
20 202220

About Lan Yang

Lan Yang is a scholar working on Molecular Biology, Surgery, Oncology, Immunology and Cancer Research, having authored 55 papers that have together received 992 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (14 papers), Cancer Immunotherapy and Biomarkers (8 papers), RNA modifications and cancer (6 papers), Immune cells in cancer (6 papers), MicroRNA in disease regulation (6 papers), Prenatal Screening and Diagnostics (6 papers), Lung Cancer Treatments and Mutations (5 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Cancer Research (257 citations), Immunology (230 citations), Oncology (242 citations), Molecular Biology (468 citations) and Otorhinolaryngology (27 citations). Lan Yang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yunzhao Chen, Jianming Hu, Xiaobin Cui, Jin Zhao, Chunxia Liu, Yun Zhao Chen, Junwen M. Hu, Li Pang, Weihua Liang and Chun Xia Liu. Their work appears in journals such as PLoS ONE, Journal of Translational Medicine, Oncotarget, Clinical & Translational Oncology and Journal of Cellular Biochemistry.

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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