Andrew Carroll

32.4k total citations · 1 hit paper
38 papers, 3.1k citations indexed

About

Andrew Carroll is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Andrew Carroll has authored 38 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 13 papers in Genetics and 10 papers in Plant Science. Recurrent topics in Andrew Carroll's work include Genomics and Phylogenetic Studies (15 papers), Polysaccharides and Plant Cell Walls (8 papers) and Genomics and Rare Diseases (7 papers). Andrew Carroll is often cited by papers focused on Genomics and Phylogenetic Studies (15 papers), Polysaccharides and Plant Cell Walls (8 papers) and Genomics and Rare Diseases (7 papers). Andrew Carroll collaborates with scholars based in United States, United Kingdom and France. Andrew Carroll's co-authors include Chris Somerville, Charles T. Anderson, Laila Akhmetova, Staffan Persson, Manfred Auer, Hildur Pálsdóttir, Alexander R. Paredez, Monika S. Doblin, Pi-Chuan Chang and Chelsea D. Specht and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Andrew Carroll

37 papers receiving 3.1k citations

Hit Papers

Cellulosic Biofuels 2008 2026 2014 2020 2008 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andrew Carroll United States 22 1.7k 1.5k 812 401 370 38 3.1k
Hairong Wei United States 32 2.3k 1.4× 2.8k 1.8× 290 0.4× 320 0.8× 79 0.2× 142 4.5k
Shuang Li China 28 458 0.3× 1.7k 1.1× 502 0.6× 249 0.6× 62 0.2× 130 2.7k
Wen‐Hsiung Li Taiwan 39 1.0k 0.6× 2.6k 1.7× 367 0.5× 551 1.4× 113 0.3× 124 3.9k
Qin Chen China 31 1.5k 0.9× 1.5k 1.0× 192 0.2× 266 0.7× 42 0.1× 120 3.2k
Shuhui Song China 32 983 0.6× 1.6k 1.1× 116 0.1× 452 1.1× 203 0.5× 108 3.0k
Xuehai Zhang China 26 1.1k 0.7× 584 0.4× 156 0.2× 542 1.4× 107 0.3× 81 2.4k
Seung Bum Lee South Korea 35 935 0.6× 2.8k 1.8× 616 0.8× 351 0.9× 96 0.3× 183 4.8k
Tianyuan Zhang China 34 629 0.4× 1.8k 1.2× 434 0.5× 197 0.5× 300 0.8× 139 3.3k
Zhihua Zhang China 29 1.2k 0.7× 952 0.6× 176 0.2× 384 1.0× 175 0.5× 97 4.1k
Wen‐Chi Chang Taiwan 33 1.1k 0.7× 2.4k 1.6× 161 0.2× 292 0.7× 122 0.3× 142 4.3k

Countries citing papers authored by Andrew Carroll

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Carroll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Carroll

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Carroll. A scholar is included among the top collaborators of Andrew Carroll 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 Andrew Carroll. Andrew Carroll 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
1.
Yun, Taedong, Jacqueline Baras Shreibati, Dongbing Lai, et al.. (2025). Applying multimodal AI to physiological waveforms improves genetic prediction of cardiovascular traits. The American Journal of Human Genetics. 112(7). 1562–1579.
2.
Asri, Mobin, Prajna Hebbar, Alexey Kolesnikov, et al.. (2025). Highly accurate assembly polishing with DeepPolisher. Genome Research. 35(7). 1595–1608. 2 indexed citations
3.
Yun, Taedong, Zachary R. McCaw, Robert Luben, et al.. (2024). Unsupervised representation learning on high-dimensional clinical data improves genomic discovery and prediction. Nature Genetics. 56(8). 1604–1613. 13 indexed citations
4.
Sirén, Jouni, Glenn Hickey, Jordan M. Eizenga, et al.. (2024). Personalized pangenome references. Nature Methods. 21(11). 2017–2023. 9 indexed citations
5.
Alipanahi, Babak, Zachary R. McCaw, Tae‐Hwi Schwantes‐An, et al.. (2023). Inference of chronic obstructive pulmonary disease with deep learning on raw spirograms identifies new genetic loci and improves risk models. Nature Genetics. 55(5). 787–795. 25 indexed citations
6.
Cook, Daniel E., Aarti Venkat, Yannick Pouliot, et al.. (2023). A deep-learning-based RNA-seq germline variant caller. Bioinformatics Advances. 3(1). vbad062–vbad062. 3 indexed citations
7.
Chen, Nae-Chyun, Alexey Kolesnikov, Sidharth Goel, et al.. (2023). Improving variant calling using population data and deep learning. BMC Bioinformatics. 24(1). 197–197. 10 indexed citations
8.
Baid, Gunjan, Daniel E. Cook, Kishwar Shafin, et al.. (2022). DeepConsensus improves the accuracy of sequences with a gap-aware sequence transformer. Nature Biotechnology. 41(2). 232–238. 89 indexed citations
9.
Sirén, Jouni, Jean Monlong, Xian Chang, et al.. (2021). Pangenomics enables genotyping of known structural variants in 5202 diverse genomes. Science. 374(6574). abg8871–abg8871. 165 indexed citations
10.
Khayat, Michael M., Sayed Mohammad Ebrahim Sahraeian, Samantha Zarate, et al.. (2021). Hidden biases in germline structural variant detection. Genome biology. 22(1). 347–347. 15 indexed citations
11.
Shafin, Kishwar, Trevor Pesout, Pi-Chuan Chang, et al.. (2021). Haplotype-aware variant calling with PEPPER-Margin-DeepVariant enables high accuracy in nanopore long-reads. Nature Methods. 18(11). 1322–1332. 133 indexed citations
12.
Yun, Taedong, Helen Li, Pi-Chuan Chang, et al.. (2020). Accurate, scalable cohort variant calls using DeepVariant and GLnexus. Bioinformatics. 36(24). 5582–5589. 94 indexed citations
13.
Huang, Zhuoyi, Navin Rustagi, Narayanan Veeraraghavan, et al.. (2016). A hybrid computational strategy to address WGS variant analysis in >5000 samples. BMC Bioinformatics. 17(1). 361–361. 5 indexed citations
14.
Shringarpure, Suyash, Andrew Carroll, Francisco M. De La Vega, & Carlos D. Bustamante. (2015). Inexpensive and Highly Reproducible Cloud-Based Variant Calling of 2,535 Human Genomes. PLoS ONE. 10(6). e0129277–e0129277. 11 indexed citations
15.
Liu, Xiaoming, Simon White, Bo Peng, et al.. (2015). WGSA: an annotation pipeline for human genome sequencing studies. Journal of Medical Genetics. 53(2). 111–112. 49 indexed citations
16.
Anderson, Charles T. & Andrew Carroll. (2013). Identification and Use of Fluorescent Dyes for Plant Cell Wall Imaging Using High-Throughput Screening. Methods in molecular biology. 1056. 103–109. 5 indexed citations
17.
Carroll, Andrew, Nasim Mansoori, Shundai Li, et al.. (2012). Complexes with Mixed Primary and Secondary Cellulose Synthases Are Functional in Arabidopsis Plants  . PLANT PHYSIOLOGY. 160(2). 726–737. 77 indexed citations
18.
Schmidt, Martin, et al.. (2010). Raman imaging of cell wall polymers in Arabidopsis thaliana. Biochemical and Biophysical Research Communications. 395(4). 521–523. 33 indexed citations
19.
Anderson, Charles T., Andrew Carroll, Laila Akhmetova, & Chris Somerville. (2009). Real-Time Imaging of Cellulose Reorientation during Cell Wall Expansion in Arabidopsis Roots  . PLANT PHYSIOLOGY. 152(2). 787–796. 323 indexed citations
20.
Schmidt, Martin, Adam Schwartzberg, Pradeep Perera, et al.. (2009). Label-free in situ imaging of lignification in the cell wall of low lignin transgenic Populus trichocarpa. Planta. 230(3). 589–597. 67 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026