Michael D. McLellan
Impact in
- Cancer Research top 0.01%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Oncology top 0.02%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Cancer Genomics and Diagnostics 65
- Cancer-related molecular mechanisms research 10
- Hematology 24
- Acute Myeloid Leukemia Research 24
- Co-authors
- Li Ding (16 shared papers)Richard K. Wilson (12 shared papers)Michael C. Wendl (7 shared papers)Mingchao Xie (4 shared papers)Qunyuan Zhang (5 shared papers)Charles Lu (3 shared papers)Timothy James Ley (8 shared papers)Elaine R. Mardis (11 shared papers)
- Journals
- Nature (21 papers)Nature Communications (16 papers)Cell Reports (14 papers)Cell (12 papers)Blood (9 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Michael D. McLellan
137 papers receiving 93.2k citations
Michael D. McLellan's Hit Papers
Peers
Comparison fields: 5 of 204
- Cancer Research 28.3k
- Oncology 20.4k
- Hematology 7.7k
- Molecular Biology 46.5k
- Genetics 6.8k
Countries citing papers authored by Michael D. McLellan
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
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-authors
The 25 scholars most cited alongside Michael D. McLellan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comprehensive genomic characterization defines human glioblastoma genes and core pathways Hit paper breakdown → | 2008 | 6384 |
| 2 | Integrated genomic analyses of ovarian carcinoma Hit paper breakdown → | 2011 | 6345 |
| 3 | An integrated map of genetic variation from 1,092 human genomes Hit paper breakdown → | 2012 | 6211 |
| 4 | Comprehensive molecular characterization of gastric adenocarcinoma Hit paper breakdown → | 2014 | 5209 |
| 5 | Comprehensive molecular profiling of lung adenocarcinoma Hit paper breakdown → | 2014 | 4550 |
| 6 | The Immune Landscape of Cancer Hit paper breakdown → | 2018 | 4331 |
| 7 | Mutational landscape and significance across 12 major cancer types Hit paper breakdown → | 2013 | 3530 |
| 8 | An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics Hit paper breakdown → | 2018 | 2602 |
| 9 | The repertoire of mutational signatures in human cancer Hit paper breakdown → | 2020 | 2339 |
| 10 | Oncogenic Signaling Pathways in The Cancer Genome Atlas Hit paper breakdown → | 2018 | 2334 |
| 11 | Somatic mutations affect key pathways in lung adenocarcinoma Hit paper breakdown → | 2008 | 2237 |
| 12 | Pan-cancer analysis of whole genomes Hit paper breakdown → | 2020 | 2109 |
| 13 | Recurring Mutations Found by Sequencing an Acute Myeloid Leukemia Genome Hit paper breakdown → | 2009 | 1886 |
| 14 | Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer Hit paper breakdown → | 2018 | 1720 |
| 15 | Comprehensive Characterization of Cancer Driver Genes and Mutations Hit paper breakdown → | 2018 | 1714 |
| 16 | DNMT3A Mutations in Acute Myeloid Leukemia Hit paper breakdown → | 2010 | 1657 |
| 17 | Clonal evolution in relapsed acute myeloid leukaemia revealed by whole-genome sequencing Hit paper breakdown → | 2012 | 1645 |
| 18 | Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation Hit paper breakdown → | 2018 | 1617 |
| 19 | Age-related mutations associated with clonal hematopoietic expansion and malignancies Hit paper breakdown → | 2014 | 1511 |
| 20 | Comprehensive Molecular Portraits of Invasive Lobular Breast Cancer Hit paper breakdown → | 2015 | 1471 |
About Michael D. McLellan
Michael D. McLellan is a scholar working on Cancer Research, Hematology, Molecular Biology, Pathology and Forensic Medicine and Oncology, having authored 140 papers that have together received 94.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (65 papers), Acute Myeloid Leukemia Research (24 papers), Genetic factors in colorectal cancer (18 papers), RNA modifications and cancer (14 papers), Epigenetics and DNA Methylation (13 papers), Lung Cancer Treatments and Mutations (11 papers), Genomics and Chromatin Dynamics (10 papers) and Cancer-related molecular mechanisms research (10 papers). The work is most often cited by research in Cancer Research (28.3k citations), Oncology (20.4k citations), Hematology (7.7k citations), Molecular Biology (46.5k citations) and Genetics (6.8k citations). Michael D. McLellan has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Li Ding, Richard K. Wilson, Michael C. Wendl, Mingchao Xie, Qunyuan Zhang, Charles Lu, Timothy James Ley, Elaine R. Mardis, Beifang Niu and Matthew J. Walter. Their work appears in journals such as Nature, Nature Communications, Cell Reports, Cell and Blood.
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.