Zhengyan Kan

11.0k total citations · 3 hit papers
28 papers, 3.9k citations indexed

About

Zhengyan Kan is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Zhengyan Kan has authored 28 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Cancer Research and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Zhengyan Kan's work include RNA and protein synthesis mechanisms (8 papers), Cancer Genomics and Diagnostics (6 papers) and RNA Research and Splicing (6 papers). Zhengyan Kan is often cited by papers focused on RNA and protein synthesis mechanisms (8 papers), Cancer Genomics and Diagnostics (6 papers) and RNA Research and Splicing (6 papers). Zhengyan Kan collaborates with scholars based in United States, South Korea and China. Zhengyan Kan's co-authors include Jason M. Johnson, John C. Castle, Philip W. Garrett-Engele, Warren Gish, Christopher D. Armour, Eric E. Schadt, Daniel Shoemaker, Roland Stoughton, Patrick Loerch and Eric C. Rouchka and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Zhengyan Kan

27 papers receiving 3.8k citations

Hit Papers

Genome-Wide Survey of Human Alternative Pre-mRNA Splicing... 2003 2026 2010 2018 2003 2017 2009 250 500 750 1000

Peers

Zhengyan Kan
Comparison fields: 5 of 113
  • Molecular Biology 3.1k
  • Oncology 612
  • Cancer Research 593
  • Immunology 572
  • Genetics 355
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Citations per field, relative to Zhengyan Kan
Zhengyan Kan · 1×
Citations per year, relative to Zhengyan Kan
Zhengyan Kan · 1×

Countries citing papers authored by Zhengyan Kan

Since Specialization
Citations

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

Fields of papers citing papers by Zhengyan Kan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhengyan Kan

This figure shows the co-authorship network connecting the top 25 collaborators of Zhengyan Kan. A scholar is included among the top collaborators of Zhengyan Kan 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 Zhengyan Kan. Zhengyan Kan 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 1
3 3
4 8
5
Single-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancer breakdown →
691
6 1
7 44
8 97
9
Smoothened Mutation Confers Resistance to a Hedgehog Pathway Inhibitor in Medulloblastoma breakdown →
670
10 31
11 14
12 52
13 15
14 5
15 57
16 100
17 155
18 306
19
Gambaran Pengetahuan, Sikap dan Perilaku Ibu hamil Terhadap Cakupan Kunjungan Pertama (K1) Di Puskesmas Lemah Wungkuk Kota Cirebon Tahun 2007
13
20 327

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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