Michael D. McLellan

114.1k total citations · 7 hit papers
35 papers, 11.7k citations indexed

About

Michael D. McLellan is a scholar working on Molecular Biology, Cancer Research and Hematology. According to data from OpenAlex, Michael D. McLellan has authored 35 papers receiving a total of 11.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 18 papers in Cancer Research and 6 papers in Hematology. Recurrent topics in Michael D. McLellan's work include Cancer Genomics and Diagnostics (14 papers), Acute Myeloid Leukemia Research (6 papers) and Epigenetics and DNA Methylation (6 papers). Michael D. McLellan is often cited by papers focused on Cancer Genomics and Diagnostics (14 papers), Acute Myeloid Leukemia Research (6 papers) and Epigenetics and DNA Methylation (6 papers). Michael D. McLellan collaborates with scholars based in United States, Canada and Spain. Michael D. McLellan's co-authors include Li Ding, Richard K. Wilson, Qunyuan Zhang, Elaine R. Mardis, Christopher A. Miller, David E. Larson, Daniel C. Koboldt, Michael C. Wendl, Dong Shen and Ling Lin and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Michael D. McLellan

35 papers receiving 11.6k citations

Hit Papers

align trajectories sort by overperformance

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.

Mutational landscape and significance across 12 major cancer types

2013 3.1k citations Cyriac Kandoth, Michael D. McLellan et al. Nature profile →
VarScan 2: Somatic mutation and copy number alteration discovery in cancer by exome sequencing

2012 3.1k citations Daniel C. Koboldt, Qunyuan Zhang et al. Genome Research profile →
Age-related mutations associated with clonal hematopoietic expansion and malignancies

2014 1.2k citations Mingchao Xie, Charles Lu et al. Nature Medicine profile →
BreakDancer: an algorithm for high-resolution mapping of genomic structural variation

2009 997 citations Ken Chen, John W. Wallis et al. profile →
VarScan: variant detection in massively parallel sequencing of individual and pooled samples

2009 917 citations Daniel C. Koboldt, Ken Chen et al. Bioinformatics profile →
Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes

2014 588 citations Mark D.M. Leiserson, Fabio Vandin et al. Nature Genetics profile →
MSIsensor: microsatellite instability detection using paired tumor-normal sequence data

2013 462 citations Beifang Niu, Kai Ye et al. Bioinformatics profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Michael D. McLellan	6.7k	4.1k	2.4k	2.3k	1.5k	35	11.7k
Christopher A. Miller	5.7k 0.8×	3.7k 0.9×	2.6k 1.1×	1.6k 0.7×	1.6k 1.1×	119	10.7k
Michael C. Wendl	7.7k 1.1×	3.2k 0.8×	2.5k 1.1×	2.6k 1.1×	1.1k 0.7×	55	14.0k
Bauke Ylstra	6.6k 1.0×	3.2k 0.8×	2.9k 1.2×	2.9k 1.3×	370 0.2×	239	12.1k
Alexander Dobrovic	6.3k 0.9×	2.8k 0.7×	3.7k 1.6×	1.8k 0.8×	598 0.4×	219	10.8k
Richard Baer	11.9k 1.8×	3.0k 0.7×	5.6k 2.4×	2.3k 1.0×	1.2k 0.8×	131	17.2k
David D.L. Bowtell	11.6k 1.7×	3.5k 0.9×	5.4k 2.3×	2.1k 0.9×	662 0.4×	221	18.4k
Qunyuan Zhang	5.7k 0.8×	3.4k 0.8×	2.3k 1.0×	2.0k 0.9×	328 0.2×	41	10.4k
Peter F. Ambros	6.4k 1.0×	3.2k 0.8×	2.6k 1.1×	1.4k 0.6×	313 0.2×	221	13.7k
Lance D. Miller	7.3k 1.1×	3.3k 0.8×	3.9k 1.7×	1.2k 0.5×	860 0.6×	181	12.9k
Dong Shen	3.9k 0.6×	3.1k 0.7×	1.9k 0.8×	1.0k 0.5×	487 0.3×	100	7.4k

Countries citing papers authored by Michael D. McLellan

Since Specialization

Citations

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

Fields of papers citing papers by Michael D. McLellan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. McLellan. 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 Michael D. McLellan. The network helps show where Michael D. McLellan may publish in the future.

Co-authorship network of co-authors of Michael D. McLellan

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. McLellan. A scholar is included among the top collaborators of Michael D. McLellan 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 Michael D. McLellan. Michael D. McLellan 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

Bongers, Kale S., Larisa Yeomans, Nicole R. Falkowski, et al.. (2025). Gut microbiome-mediated nutrients alter opportunistic bacterial growth in peritonitis. American Journal of Physiology-Gastrointestinal and Liver Physiology. 329(6). G747–G758. 1 indexed citations

Inkman, Matthew, Naoshad Muhammad, Christopher A. Miller, et al.. (2021). HPV transcript expression affects cervical cancer response to chemoradiation. JCI Insight. 6(16). 14 indexed citations

Li, Lijin, Xiuli Zhang, Xiaoli Wang, et al.. (2021). Optimized polyepitope neoantigen DNA vaccines elicit neoantigen-specific immune responses in preclinical models and in clinical translation. Genome Medicine. 13(1). 56–56. 52 indexed citations

Cullinan, Darren R., Michael D. McLellan, Tammi L. Vickery, et al.. (2020). Preliminary Results Of A Phase Ib Clinical Trial Of A Neoantigen Dna Vaccine For Pancreatic Cancer. HPB. 22. S12–S13. 3 indexed citations

Inkman, Matthew, Thomas M. Ellis, Michael D. McLellan, et al.. (2020). HPV-EM: an accurate HPV detection and genotyping EM algorithm. Scientific Reports. 10(1). 14340–14340. 4 indexed citations

Niu, Beifang, Adam Scott, Sohini Sengupta, et al.. (2016). Protein-structure-guided discovery of functional mutations across 19 cancer types. Nature Genetics. 48(8). 827–837. 87 indexed citations

Ye, Kai, Jiayin Wang, Reyka G. Jayasinghe, et al.. (2015). Systematic discovery of complex insertions and deletions in human cancers. Nature Medicine. 22(1). 97–104. 66 indexed citations

Xie, Mingchao, Charles Lu, Jiayin Wang, et al.. (2014). Age-related mutations associated with clonal hematopoietic expansion and malignancies. Nature Medicine. 20(12). 1472–1478. 1204 indexed citations breakdown →

Engle, Elizabeth K., D. Fisher, Chris Miller, et al.. (2014). Clonal evolution revealed by whole genome sequencing in a case of primary myelofibrosis transformed to secondary acute myeloid leukemia. Leukemia. 29(4). 869–876. 32 indexed citations

10.

Leiserson, Mark D.M., Fabio Vandin, Hsin-Ta Wu, et al.. (2014). Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes. Nature Genetics. 47(2). 106–114. 588 indexed citations breakdown →

11.

Hamilton, Mark P., Kimal Rajapakshe, Sean M. Hartig, et al.. (2013). Identification of a pan-cancer oncogenic microRNA superfamily anchored by a central core seed motif. Nature Communications. 4(1). 2730–2730. 91 indexed citations

12.

Kandoth, Cyriac, Michael D. McLellan, Fabio Vandin, et al.. (2013). Mutational landscape and significance across 12 major cancer types. Nature. 502(7471). 333–339. 3134 indexed citations breakdown →

13.

Koboldt, Daniel C., Qunyuan Zhang, David E. Larson, et al.. (2012). VarScan 2: Somatic mutation and copy number alteration discovery in cancer by exome sequencing. Genome Research. 22(3). 568–576. 3093 indexed citations breakdown →

14.

Gutmann, David H., Michael D. McLellan, Ibrahim Hussain, et al.. (2012). Somatic neurofibromatosis type 1 (NF1) inactivation characterizes NF1-associated pilocytic astrocytoma. Genome Research. 23(3). 431–439. 90 indexed citations

15.

Walter, Matthew J., Li Ding, Dong Shen, et al.. (2011). Recurrent DNMT3A mutations in patients with myelodysplastic syndromes. Leukemia. 25(7). 1153–1158. 392 indexed citations

16.

Koboldt, Daniel C., Ken Chen, Todd Wylie, et al.. (2009). VarScan: variant detection in massively parallel sequencing of individual and pooled samples. Bioinformatics. 25(17). 2283–2285. 917 indexed citations breakdown →

17.

Chen, Ken, Michael D. McLellan, Li Ding, et al.. (2007). PolyScan: An automatic indel and SNP detection approach to the analysis of human resequencing data. Genome Research. 17(5). 659–666. 62 indexed citations

18.

Marks, Jenifer L., Michael D. McLellan, Maureen F. Zakowski, et al.. (2007). Mutational Analysis of EGFR and Related Signaling Pathway Genes in Lung Adenocarcinomas Identifies a Novel Somatic Kinase Domain Mutation in FGFR4. PLoS ONE. 2(5). e426–e426. 74 indexed citations

19.

Field, Joshua J., Philip J. Mason, Ping An, et al.. (2006). Low Frequency of Telomerase RNA Mutations Among Children With Aplastic Anemia or Myelodysplastic Syndrome. Journal of Pediatric Hematology/Oncology. 28(7). 450–453. 18 indexed citations

20.

Wilson, Rebecca K., Timothy J. Ley, F. Sessions Cole, et al.. (2003). Mutational Profiling in the Human Genome. Cold Spring Harbor Symposia on Quantitative Biology. 68(0). 23–30. 8 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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