T. Daniel Andrews

19.2k total citations
62 papers, 3.6k citations indexed

About

T. Daniel Andrews is a scholar working on Molecular Biology, Genetics and General Health Professions. According to data from OpenAlex, T. Daniel Andrews has authored 62 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 17 papers in Genetics and 10 papers in General Health Professions. Recurrent topics in T. Daniel Andrews's work include Genomics and Phylogenetic Studies (10 papers), Indigenous Studies and Ecology (10 papers) and Genomics and Rare Diseases (9 papers). T. Daniel Andrews is often cited by papers focused on Genomics and Phylogenetic Studies (10 papers), Indigenous Studies and Ecology (10 papers) and Genomics and Rare Diseases (9 papers). T. Daniel Andrews collaborates with scholars based in Australia, United States and Canada. T. Daniel Andrews's co-authors include Linda Partridge, Nigel P. Carter, Matthew E. Hurles, Susan Broughton, Sebastian Grönke, Jonathan K. Pritchard, Donald F. Conrad, Christopher C. Goodnow, Glen MacKay and Vicky Cho and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

T. Daniel Andrews

59 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Daniel Andrews Australia 26 1.7k 1.1k 542 426 407 62 3.6k
Daniel J. Richter United States 22 2.6k 1.5× 2.7k 2.5× 551 1.0× 612 1.4× 230 0.6× 34 5.7k
Michel Vervoort France 29 3.1k 1.8× 583 0.5× 182 0.3× 644 1.5× 401 1.0× 58 4.1k
Eduardo Ruiz‐Pesini Spain 35 4.7k 2.8× 1.6k 1.5× 150 0.3× 101 0.2× 239 0.6× 128 6.8k
Arcadi Navarro Spain 36 2.1k 1.2× 2.8k 2.6× 340 0.6× 1.3k 3.1× 110 0.3× 136 5.2k
Christian Bendixen Denmark 41 3.5k 2.0× 2.2k 2.1× 258 0.5× 999 2.3× 147 0.4× 156 6.3k
Aurelio Reyes United Kingdom 41 4.6k 2.7× 1.1k 1.0× 152 0.3× 380 0.9× 174 0.4× 75 5.7k
Dan Mishmar Israel 31 3.3k 2.0× 1.5k 1.4× 85 0.2× 134 0.3× 116 0.3× 66 4.4k
Michael Hiller Germany 31 5.1k 3.0× 1.2k 1.1× 518 1.0× 604 1.4× 172 0.4× 100 6.9k
Daniel Kalderon United States 37 6.2k 3.6× 2.1k 1.9× 767 1.4× 719 1.7× 1.3k 3.2× 71 8.5k
Charles G. Danko United States 30 3.5k 2.0× 806 0.7× 286 0.5× 344 0.8× 63 0.2× 69 4.4k

Countries citing papers authored by T. Daniel Andrews

Since Specialization
Citations

This map shows the geographic impact of T. Daniel Andrews'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 T. Daniel Andrews with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Daniel Andrews more than expected).

Fields of papers citing papers by T. Daniel Andrews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Daniel Andrews. 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 T. Daniel Andrews. The network helps show where T. Daniel Andrews may publish in the future.

Co-authorship network of co-authors of T. Daniel Andrews

This figure shows the co-authorship network connecting the top 25 collaborators of T. Daniel Andrews. A scholar is included among the top collaborators of T. Daniel Andrews 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 T. Daniel Andrews. T. Daniel Andrews 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.
Chuah, Aaron, Tim Hewitt, Sidra Ali, et al.. (2025). EDAmame: interactive exploratory data analyses with explainable models. Bioinformatics. 41(6). 1 indexed citations
2.
Mashford, Benjamin S., et al.. (2025). Comparison of Deep-Learning Models for Classification of Cellular Phenotype From Flow Cytometry Data. PubMed. 22(4). 1587–1592. 1 indexed citations
3.
Chuah, Aaron, et al.. (2025). Functionally constrained human proteins are less prone to mutational instability from single amino acid substitutions. Nature Communications. 16(1). 2492–2492. 2 indexed citations
4.
Chuah, Aaron, et al.. (2022). StabilitySort: assessment of protein stability changes on a genome-wide scale to prioritize potentially pathogenic genetic variation. Bioinformatics. 38(17). 4220–4222. 3 indexed citations
6.
7.
Hugenholtz, Chris H., et al.. (2021). Integrating Geomatics, Geophysics, and Local Knowledge to Relocate the Original Fort Providence Cemetery, Northwest Territories. ARCTIC. 74(3). 407–416. 2 indexed citations
8.
Andrews, T. Daniel, et al.. (2021). Efficacy of computational predictions of the functional effect of idiosyncratic pharmacogenetic variants. PeerJ. 9. e11774–e11774. 5 indexed citations
9.
Kayagaki, Nobuhiko, Bettina L. Lee, Irma B. Stowe, et al.. (2019). IRF2 transcriptionally induces GSDMD expression for pyroptosis. Science Signaling. 12(582). 131 indexed citations
10.
Field, Matthew A., Gaétan Burgio, Aaron Chuah, et al.. (2019). Recurrent miscalling of missense variation from short-read genome sequence data. BMC Genomics. 20(S8). 546–546. 7 indexed citations
11.
Sabouri, Zahra, Peter Humburg, Mehmet Yabas, et al.. (2016). IgD attenuates the IgM-induced anergy response in transitional and mature B cells. Nature Communications. 7(1). 13381–13381. 66 indexed citations
12.
Liang, Rong, Thomas Ohnesorg, Vicky Cho, et al.. (2016). Heterogeneity of Human Neutrophil CD177 Expression Results from CD177P1 Pseudogene Conversion. PLoS Genetics. 12(5). e1006067–e1006067. 33 indexed citations
13.
Johar, Angad, Claudio A. Mastronardi, Adriana Rojas‐Villarraga, et al.. (2015). Novel and rare functional genomic variants in multiple autoimmune syndrome and Sjögren’s syndrome. Journal of Translational Medicine. 13(1). 173–173. 27 indexed citations
14.
Andrews, T. Daniel, et al.. (2013). Understanding the immunological impact of the human mutation explosion. Trends in Immunology. 34(3). 99–106. 12 indexed citations
15.
Enders, Anselm, H Bergmann, Mehmet Yabas, et al.. (2012). Finding new immune regulatory genes by ENU mutagenesis. Journal of Translational Medicine. 10(S3). 1 indexed citations
16.
Grönke, Sebastian, et al.. (2010). Molecular Evolution and Functional Characterization of Drosophila Insulin-Like Peptides. PLoS Genetics. 6(2). e1000857–e1000857. 480 indexed citations
17.
Andrews, T. Daniel & William Wallace. (2009). Diagnosis and Staging of Lung and Pleural Malignancy — an Overview of Tissue Sampling Techniques and the Implications for Pathological Assessment. Clinical Oncology. 21(6). 451–463. 12 indexed citations
18.
Andrews, T. Daniel, Peter Dutton, G C Beattie, & A. Al‐Nafussi. (2007). Sarcomatoid carcinoma arising within a serous borderline ovarian tumour: a case report and practical approach to differential diagnosis. Histopathology. 52(2). 233–238. 8 indexed citations
19.
Marioni, John C., Natalie Thorne, Armand Valsesia, et al.. (2007). Breaking the waves: improved detection of copy number variation from microarray-based comparative genomic hybridization. Genome biology. 8(10). R228–R228. 101 indexed citations
20.
Andrews, T. Daniel & Simon Easteal. (2000). Evolutionary Rate Acceleration of Cytochrome c Oxidase Subunit I in Simian Primates. Journal of Molecular Evolution. 50(6). 562–568. 34 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