Daniela Witten

42.6k citations
129 papers · 25.8k · 9 hit papers · h-index 43

Impact in

Papers in

    • Gene expression and cancer classification 25
    • Bioinformatics and Genomic Networks 6
    • Genomics and Chromatin Dynamics 5
    • Statistical Methods and Inference 33
    • Advanced Statistical Methods and Models 8
    • Statistical Methods and Bayesian Inference 6

Daniela Witten

124 papers receiving 25.1k citations

Daniela Witten's Hit Papers

An Introduction to Statistical Learning 2023 · 419 citations
4190+5+11Years since publication2.5k5.0k7.5k

Peers

Daniela Witten
Comparison fields: 5 of 238
  • Statistics and Probability 1.6k
  • Genetics 3.5k
  • Computational Mathematics 74
  • Cancer Research 1.4k
  • Artificial Intelligence 3.4k
Replace Yoav Benjamini with:
Yoav Benjamini Israel
Hui Zou United States
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Naomi Altman United States
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Peter Bühlmann Switzerland
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J. Friedman United States
Jun S. Liu United States
Kurt Hornik Austria
Daniela Witten relative to Yoav Benjamini Israel Yoav Benjamini's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniela Witten

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Witten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An Introduction to Statistical Learning
Hit paper breakdown →
20138565
2
A general framework for estimating the relative pathogenicity of human genetic variants
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20143741
3
CADD: predicting the deleteriousness of variants throughout the human genome
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20182008
4
An Introduction to Statistical Learning: with Applications in R
Hit paper breakdown →
20181889
5
A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis
Hit paper breakdown →
20091030
6
An Introduction to Statistical Learning
Hit paper breakdown →
2021926
7
The Joint Graphical Lasso for Inverse Covariance Estimation Across Multiple Classes
Hit paper breakdown →
2013554
8 2010447
9
An Introduction to Statistical Learning
Hit paper breakdown →
2023419
10
Sparse Discriminant Analysis
Hit paper breakdown →
2011410
11 2009394
12 2012393
13 2011282
14 2009272
15 2011258
16 2012255
17 2012199
18 2010195
19 2011195
20 2016182

About Daniela Witten

Daniela Witten is a scholar working on Molecular Biology, Statistics and Probability, Artificial Intelligence, Genetics and Cognitive Neuroscience, having authored 129 papers that have together received 25.8k indexed citations. Recurring topics across this work include Statistical Methods and Inference (33 papers), Gene expression and cancer classification (25 papers), Advanced Statistical Methods and Models (8 papers), Bayesian Methods and Mixture Models (7 papers), Statistical Methods and Bayesian Inference (6 papers), Bioinformatics and Genomic Networks (6 papers), Bayesian Modeling and Causal Inference (5 papers) and Genomics and Chromatin Dynamics (5 papers). The work is most often cited by research in Statistics and Probability (1.6k citations), Genetics (3.5k citations), Computational Mathematics (74 citations), Cancer Research (1.4k citations) and Artificial Intelligence (3.4k citations). Daniela Witten has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Robert Tibshirani, Trevor Hastie, Gareth James, Gregory M. Cooper, Jay Shendure, Martin Kircher, Brian J. O’Roak, Philipp Rentzsch, Patrick Danaher and Pei Wang. Their work appears in journals such as Journal of the American Statistical Association, Biometrika, Journal of Computational and Graphical Statistics, Biostatistics and Journal of the Royal Statistical Society Series B (Statistical Methodology).

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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