Maxwell Sanderford

3.0k total citations · 2 hit papers
20 papers, 1.1k citations indexed

About

Maxwell Sanderford is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Maxwell Sanderford has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in Maxwell Sanderford's work include Genomics and Phylogenetic Studies (10 papers), Genetic Associations and Epidemiology (5 papers) and Cancer Genomics and Diagnostics (5 papers). Maxwell Sanderford is often cited by papers focused on Genomics and Phylogenetic Studies (10 papers), Genetic Associations and Epidemiology (5 papers) and Cancer Genomics and Diagnostics (5 papers). Maxwell Sanderford collaborates with scholars based in United States, Saudi Arabia and Japan. Maxwell Sanderford's co-authors include Sudhir Kumar, Glen Stecher, Michael Suleski, S. Blair Hedges, Jack M. Craig, Koichiro Tamura, Sudip Sharma, Li Liu, Sayaka Miura and Greg Gibson and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Maxwell Sanderford

19 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

TimeTree 5: An Expanded Resource for Species Divergence Times

2022 656 citations Sudhir Kumar, Michael Suleski et al. Molecular Biology and Evolution profile →
MEGA12: Molecular Evolutionary Genetic Analysis Version 12 for Adaptive and Green Computing

2024 196 citations Sudhir Kumar, Glen Stecher et al. Molecular Biology and Evolution profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maxwell Sanderford United States	11	540	281	243	175	143	20	1.1k
Chentao Yang China	13	648 1.2×	291 1.0×	285 1.2×	268 1.5×	276 1.9×	22	1.2k
Françoise Lethiec France	2	607 1.1×	215 0.8×	247 1.0×	303 1.7×	141 1.0×	2	1.2k
Jean-Emmanuel Longueville France	4	487 0.9×	217 0.8×	315 1.3×	346 2.0×	176 1.2×	5	1.4k
Patrice Duroux France	3	639 1.2×	216 0.8×	248 1.0×	304 1.7×	141 1.0×	6	1.3k
Rei Kajitani Japan	13	806 1.5×	464 1.7×	400 1.6×	269 1.5×	262 1.8×	31	1.5k
Ying Zhen United States	14	302 0.6×	284 1.0×	257 1.1×	109 0.6×	166 1.2×	29	798
Jean-Baka Domelevo Entfellner Kenya	12	322 0.6×	139 0.5×	217 0.9×	105 0.6×	130 0.9×	28	778
Li Zhong China	19	414 0.8×	440 1.6×	311 1.3×	190 1.1×	187 1.3×	63	1.3k
Sudhindra R. Gadagkar United States	11	485 0.9×	259 0.9×	195 0.8×	151 0.9×	219 1.5×	25	867
Wenyan Nong Hong Kong	20	581 1.1×	199 0.7×	184 0.8×	326 1.9×	55 0.4×	58	1.2k

Countries citing papers authored by Maxwell Sanderford

Since Specialization

Citations

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

Fields of papers citing papers by Maxwell Sanderford

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxwell Sanderford

This figure shows the co-authorship network connecting the top 25 collaborators of Maxwell Sanderford. A scholar is included among the top collaborators of Maxwell Sanderford 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 Maxwell Sanderford. Maxwell Sanderford is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Allard, John B., Sudip Sharma, Maxwell Sanderford, et al.. (2025). Evolutionary sparse learning reveals the shared genetic basis of convergent traits. Nature Communications. 16(1). 3217–3217. 2 indexed citations

Sanderford, Maxwell, Sudip Sharma, Glen Stecher, et al.. (2025). MyESL: A Software for Evolutionary Sparse Learning in Molecular Phylogenetics and Genomics. Molecular Biology and Evolution. 42(10).

Kumar, Sudhir, Glen Stecher, Michael Suleski, et al.. (2024). MEGA12: Molecular Evolutionary Genetic Analysis Version 12 for Adaptive and Green Computing. Molecular Biology and Evolution. 41(12). 196 indexed citations breakdown →

Sanderford, Maxwell, et al.. (2023). Bootstrap confidence for molecular evolutionary estimates from tumor bulk sequencing data. SHILAP Revista de lepidopterología. 3. 1090730–1090730. 2 indexed citations

Miura, Sayaka, et al.. (2023). Improving cellular phylogenies through the integrated use of mutation order and optimality principles. Computational and Structural Biotechnology Journal. 21. 3894–3903. 1 indexed citations

Kumar, Sudhir, Michael Suleski, Jack M. Craig, et al.. (2022). TimeTree 5: An Expanded Resource for Species Divergence Times. Molecular Biology and Evolution. 39(8). 656 indexed citations breakdown →

Miura, Sayaka, Maxwell Sanderford, Qiqing Tao, et al.. (2022). TopHap: rapid inference of key phylogenetic structures from common haplotypes in large genome collections with limited diversity. Bioinformatics. 38(10). 2719–2726. 4 indexed citations

Kumar, Avishek, et al.. (2022). Dynamic coupling of residues within proteins as a mechanistic foundation of many enigmatic pathogenic missense variants. PLoS Computational Biology. 18(4). e1010006–e1010006. 25 indexed citations

Miura, Sayaka, Lauren E Hamilton, Stephen G. Gaffney, et al.. (2022). Clone Phylogenetics Reveals Metastatic Tumor Migrations, Maps, and Models. Cancers. 14(17). 4326–4326. 6 indexed citations

10.

Kumar, Sudhir, Qiqing Tao, Steven Weaver, et al.. (2021). An Evolutionary Portrait of the Progenitor SARS-CoV-2 and Its Dominant Offshoots in COVID-19 Pandemic. Molecular Biology and Evolution. 38(8). 3046–3059. 41 indexed citations

11.

Liu, Li, et al.. (2020). TreeMap: a structured approach to fine mapping of eQTL variants. Bioinformatics. 37(8). 1125–1134. 8 indexed citations

12.

Kumar, Sudhir, et al.. (2020). PathFinder: Bayesian inference of clone migration histories in cancer. Bioinformatics. 36(Supplement_2). i675–i683. 12 indexed citations

13.

Pyott, Sonja J., Marcel van Tuinen, Laurel A. Screven, et al.. (2020). Functional, Morphological, and Evolutionary Characterization of Hearing in Subterranean, Eusocial African Mole-Rats. Current Biology. 30(22). 4329–4341.e4. 16 indexed citations

14.

Zhou, Xuming, Qianhui Dou, Guangyi Fan, et al.. (2020). Beaver and Naked Mole Rat Genomes Reveal Common Paths to Longevity. Cell Reports. 32(4). 107949–107949. 23 indexed citations

15.

Liu, Li, et al.. (2019). Biological relevance of computationally predicted pathogenicity of noncoding variants. Nature Communications. 10(1). 330–330. 31 indexed citations

16.

Scheinfeldt, Laura, Maxwell Sanderford, Koichiro Tamura, et al.. (2018). Adaptive Landscape of Protein Variation in Human Exomes. Molecular Biology and Evolution. 35(8). 2015–2025. 7 indexed citations

17.

Kumar, Sudhir, Maxwell Sanderford, Li Liu, et al.. (2017). FlyExpress 7: An Integrated Discovery Platform To Study Coexpressed Genes Usingin SituHybridization Images inDrosophila. G3 Genes Genomes Genetics. 7(8). 2791–2797. 3 indexed citations

18.

Liu, Li, Koichiro Tamura, Maxwell Sanderford, Vanessa E. Gray, & Sudhir Kumar. (2015). A Molecular Evolutionary Reference for the Human Variome. Molecular Biology and Evolution. 33(1). 245–254. 20 indexed citations

19.

Stecher, Glen, Li Liu, Maxwell Sanderford, et al.. (2014). MEGA-MD: molecular evolutionary genetics analysis software with mutational diagnosis of amino acid variation. Bioinformatics. 30(9). 1305–1307. 32 indexed citations

20.

Dudley, Joel T., et al.. (2012). Evolutionary Meta-Analysis of Association Studies Reveals Ancient Constraints Affecting Disease Marker Discovery. Molecular Biology and Evolution. 29(9). 2087–2094. 16 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.

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