Lan Yang

1.9k citations
22 papers · 1.3k · 1 hit paper · h-index 12

Impact in

Papers in

    • RNA Research and Splicing 2
    • Bacteriophages and microbial interactions 2
    • Wildlife-Road Interactions and Conservation 2

Lan Yang

19 papers receiving 1.3k citations

Hit Papers

Prominent changes in blood coagulation of patients with SARS-CoV-2 infection 2020 · 864 citations
8640+2+4Years since publication250500750

Peers

Lan Yang
Comparison fields: 5 of 125
  • Internal Medicine 174
  • Infectious Diseases 819
  • Neurology 433
  • Dermatology 93
  • Oncology 284
Replace Haolong Li with:
Haolong Li China
Nicolas Noël France
Catherine Bagot United Kingdom
Monique Henket Belgium
Michael D. Tarantino United States
Tiraje Çelkan Türkiye
Marta Rorat Poland
Silvia Bellesi Italy
Lan Yang relative to Haolong Li China Haolong Li's profile →
Citations per field
00.5×20×40×60×84.6×
Haolong Li · 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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prominent changes in blood coagulation of patients with SARS-CoV-2 infection
Hit paper breakdown →
2020864
2 201988
3 202079
4 202065
5 202055
6 200946
7 202016
8 202215
9 202014
10 202213
11 202412
12 201712
13 20228
14 20225
15 20213
16 20213
17 20242
18 20231
19
[Effects of Bisphosphonates on Beclin1 and LC3Ⅱ Induced by High-glucose in Rat Bone Marrow Mesenchymal Stem Cells].
20181
20 20250

About Lan Yang

Lan Yang is a scholar working on Molecular Biology, Ecology, Epidemiology, Immunology and Biomedical Engineering, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (2 papers), Bacteriophages and microbial interactions (2 papers), Wildlife-Road Interactions and Conservation (2 papers), Hepatitis B Virus Studies (2 papers), RNA Research and Splicing (2 papers), Cancer-related molecular mechanisms research (2 papers), Hepatitis C virus research (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Internal Medicine (174 citations), Infectious Diseases (819 citations), Neurology (433 citations), Dermatology (93 citations) and Oncology (284 citations). Lan Yang has collaborated with scholars based in China, Ireland and United Kingdom. Frequent co-authors include Xinghui Liu, Rui Liu, Huan Han, Fang Liu, Jie Li, Xiao Han, Jinrong Fu, Caiyan Zhang, Xiang Wang and Saihua Huang. Their work appears in journals such as Journal of Allergy and Clinical Immunology, iScience, Scientific Reports, Clinical Microbiology and Infection and Stem Cells.

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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