Yupu Liang

17.6k citations
42 papers · 1.9k indexed · 1 hit paper · h-index 18
Topics
Genetics, Aging, and Longevity in Model Organisms (5 papers)Handwritten Text Recognition Techniques (5 papers)Natural Language Processing Techniques (4 papers)

In The Last Decade

Yupu Liang

39 papers receiving 1.8k citations

Hit Papers

Comprehensive evaluation of differential gene expression ...20132026201720212013100200300400

Peers

Yupu Liang
Comparison fields: 5 of 133
  • Molecular Biology 976
  • Cancer Research 299
  • Physiology 258
  • Cellular and Molecular Neuroscience 251
  • Pulmonary and Respiratory Medicine 221
Replace Sara Wells with:
Sara Wells United Kingdom
Rachel L. Wolfson United States
Anna Johnsson Sweden
Valérie Gailus‐Durner Germany
Stefan U. Kass United States
Youngshik Choe South Korea
Patrick Loerch United States
Yuki Yasumoto Japan
Barbara Robertson United States
Akiko Murayama Japan
Yupu Liang relative to Sara Wells United Kingdom Sara Wells's profile →
Citations per field
00.5×1.5×
Sara Wells · 1×
Citations per year

Countries citing papers authored by Yupu Liang

Since Specialization
Citations

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

Fields of papers citing papers by Yupu Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yupu Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Yupu Liang. A scholar is included among the top collaborators of Yupu Liang 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 Yupu Liang. Yupu Liang 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 2
3 2
4 0
5 4
6 6
7 1
8 3
9 11
10 7
11 5
12 58
13 7
14 12
15 51
16 84
17 26
18 114
19 1
20
Comprehensive evaluation of differential gene expression analysis methods for RNA-seq databreakdown →
491

About Yupu Liang

Yupu Liang is a scholar working on Aging, Endocrine and Autonomic Systems and Physiology, having authored 42 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (5 papers), Handwritten Text Recognition Techniques (5 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Aging (93 citations), Endocrine and Autonomic Systems (154 citations) and Cancer Research (299 citations). Yupu Liang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Nicholas D. Socci, Raya Khanin, Franck Rapaport, Christopher E. Mason, Doron Betel, Azra Krek, Paul Zumbo, Mono Pirun, Alexander R. Nectow and Jan L. Breslow. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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