Gordon K. Smyth

228.7k total citations · 25 hit papers
345 papers, 122.5k citations indexed

About

Gordon K. Smyth is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Gordon K. Smyth has authored 345 papers receiving a total of 122.5k indexed citations (citations by other indexed papers that have themselves been cited), including 163 papers in Molecular Biology, 63 papers in Immunology and 59 papers in Oncology. Recurrent topics in Gordon K. Smyth's work include Gene expression and cancer classification (51 papers), Molecular Biology Techniques and Applications (35 papers) and T-cell and B-cell Immunology (31 papers). Gordon K. Smyth is often cited by papers focused on Gene expression and cancer classification (51 papers), Molecular Biology Techniques and Applications (35 papers) and T-cell and B-cell Immunology (31 papers). Gordon K. Smyth collaborates with scholars based in Australia, United States and Ireland. Gordon K. Smyth's co-authors include Wei Shi, Davis J. McCarthy, Mark D. Robinson, Yang Liao, Charity W. Law, Yifang Hu, Di Wu, Matthew E. Ritchie, Belinda Phipson and Yunshun Chen and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Gordon K. Smyth

339 papers receiving 121.5k citations

Hit Papers

edgeR: a Bioconductor package for differential ex... 1996 2026 2006 2016 2009 2015 2013 2004 2010 5.0k 10.0k 15.0k 20.0k 25.0k

Peers

Gordon K. Smyth
Comparison fields: 5 of 228
  • Molecular Biology 69.9k
  • Cancer Research 20.6k
  • Immunology 18.5k
  • Oncology 14.1k
  • Plant Science 14.0k
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Citations per field, relative to Gordon K. Smyth
Gordon K. Smyth · 1×
Citations per year, relative to Gordon K. Smyth
Gordon K. Smyth · 1×

Countries citing papers authored by Gordon K. Smyth

Since Specialization
Citations

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

Fields of papers citing papers by Gordon K. Smyth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gordon K. Smyth. 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 Gordon K. Smyth. The network helps show where Gordon K. Smyth may publish in the future.

Co-authorship network of co-authors of Gordon K. Smyth

This figure shows the co-authorship network connecting the top 25 collaborators of Gordon K. Smyth. A scholar is included among the top collaborators of Gordon K. Smyth 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 Gordon K. Smyth. Gordon K. Smyth 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 6
2 0
3 6
4 2
5 14
6
A single‐cell RNA expression atlas of normal, preneoplastic and tumorigenic states in the human breast breakdown →
238
7 5
8 21
9 70
10 5
11 107
12 22
13 8
14
voom: precision weights unlock linear model analysis tools for RNA-seq read counts breakdown →
3625
15 67
16 36
17 150
18 209
19 244
20
Tweedie Family Densities: Methods of Evaluation
5

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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