Yu Yang

5.7k total citations · 2 hit papers
113 papers, 3.5k citations indexed

About

Yu Yang is a scholar working on Molecular Biology, Epidemiology and Surgery. According to data from OpenAlex, Yu Yang has authored 113 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 30 papers in Epidemiology and 26 papers in Surgery. Recurrent topics in Yu Yang's work include Cervical Cancer and HPV Research (12 papers), Tuberculosis Research and Epidemiology (8 papers) and Hepatitis B Virus Studies (7 papers). Yu Yang is often cited by papers focused on Cervical Cancer and HPV Research (12 papers), Tuberculosis Research and Epidemiology (8 papers) and Hepatitis B Virus Studies (7 papers). Yu Yang collaborates with scholars based in China, United States and Singapore. Yu Yang's co-authors include Lei Gao, Robert B. Felder, Shun‐Guang Wei, Qi Jin, Feng Zhou, Mufei Li, Cong Gao, Xiangwei Li, Jiafu Ji and Lei Zhang and has published in prestigious journals such as Nature, Cell and SHILAP Revista de lepidopterología.

In The Last Decade

Yu Yang

105 papers receiving 3.5k citations

Hit Papers

A pan-cancer single-cell transcriptional atlas of tumor i... 2021 2026 2022 2024 2021 2024 250 500 750

Peers

Yu Yang
Comparison fields: 5 of 149
  • Molecular Biology 1.0k
  • Immunology 661
  • Surgery 635
  • Oncology 634
  • Epidemiology 520
Replace Bin Zhang with:
Bin Zhang China
Roberto Pola Italy
Min Yang China
Andrzej Pawlik Poland
Janice Russell United States
Daniel Sedding Germany
Benjamín Fernández‐Gutiérrez Spain
Liang Guo United States
Frank Eitner Germany
Thomas Streichert Germany
Bin Zhang China View profile →
Citations per field, relative to Yu Yang
Yu Yang · 1×
Citations per year, relative to Yu Yang
Yu Yang · 1×

Countries citing papers authored by Yu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Yang. A scholar is included among the top collaborators of Yu Yang 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 Yu Yang. Yu Yang 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
# Work Indexed citations
1 0
2 6
3 4
4 0
5 0
6 0
7 0
8 4
9 12
10 2
11
A pan-cancer single-cell transcriptional atlas of tumor infiltrating myeloid cells breakdown →
820
12 2
13 18
14
[Necessity and feasibility of data sharing of cohort studies].
2
15 1
16 25
17
New Chemiluminescence System of Colloidal MnO_2 Solution-Formaldehyde-C_2O_4~(2-)
1
18 106
19
[Molecular confirmation of enterovirus type 71 infection: a post-mortem study of two cases].
5
20
Overexpression of HER-2 in ovarian carcinomas.
107

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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