Shihao Shen

6.0k citations
49 papers · 3.9k indexed · 1 hit paper · h-index 26

Shihao Shen

48 papers receiving 3.9k citations

Hit Papers

rMATS: Robust and flexible detection of differential alte...1.6k201420262018202250010001.5k

Peers

Shihao Shen
Comparison fields: 5 of 145
  • Cancer Research 772
  • Molecular Biology 3.1k
  • Cellular and Molecular Neuroscience 330
  • Aging 23
  • Genetics 111
Replace Roger Meier with:
Roger Meier Switzerland
Hailiang Mei Netherlands
Xiaoping Xu China
Yixun Liu China
Patrick Cahan United States
Xing Dai United States
Ning Leng United States
Antonio Scialdone Italy
Jonghwan Kim United States
Theodore Dalamagas Greece
Shihao Shen relative to Roger Meier Switzerland Roger Meier's profile →
Citations per field
00.5×5.0×
Roger Meier · 1×
Citations per year

Countries citing papers authored by Shihao Shen

Since Specialization
Citations

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

Fields of papers citing papers by Shihao Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 202410
3 20231
4 20239
5 20224
6 20212
7 201733
8 201683
9 201537
10
rMATS: Robust and flexible detection of differential alternative splicing from replicate RNA-Seq databreakdown →
20141635
11 201455
12 20131
13 201353
14 2012269
15 201040
16 2010290
17 200933
18 200953
19 2009272
20 2009168

About Shihao Shen

Shihao Shen is a scholar working on Computer Networks and Communications, Information Systems and Molecular Biology, having authored 49 papers that have together received 3.9k indexed citations. Recurring topics across this work include RNA Research and Splicing (17 papers), RNA and protein synthesis mechanisms (13 papers), RNA modifications and cancer (13 papers), IoT and Edge/Fog Computing (12 papers), Cloud Computing and Resource Management (11 papers), Molecular Biology Techniques and Applications (5 papers), Blockchain Technology Applications and Security (4 papers) and RNA regulation and disease (4 papers). The work is most often cited by research in Cancer Research (772 citations), Molecular Biology (3.1k citations) and Cellular and Molecular Neuroscience (330 citations). Shihao Shen has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Yi Xing, Juw Won Park, Lan Lin, Zhixiang Lu, Qing Zhou, Ying Wu, Michael D. Henry, Russ P. Carstens, Peng Jiang and Claude C. Warzecha. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

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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