Max L. Dougherty
Impact in
- Genetics top 10%
- Genomic variations and chromosomal abnormalities
- Genomics and Rare Diseases
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- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
Papers in
- Genetics 5
- Genomic variations and chromosomal abnormalities 5
- Genomics and Rare Diseases 2
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- Genomics and Phylogenetic Studies 3
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Evan E. Eichler (6 shared papers)Tina A. Graves-Lindsay (2 shared papers)Melanie Sorensen (2 shared papers)AnneMarie E. Welch (2 shared papers)Richard K. Wilson (2 shared papers)Bradley J. Nelson (3 shared papers)Stuart Cantsilieris (1 shared paper)Susan K. Dutcher (1 shared paper)
- Journals
- Genome Research (2 papers)Nature Methods (1 paper)Molecular Case Studies (1 paper)Critical Reviews in Oncology/Hematology (1 paper)Genome biology (1 paper)
- Partner nations
- United StatesItalyIndia
In The Last Decade
Max L. Dougherty
10 papers receiving 476 citations
Max L. Dougherty's Hit Papers
Peers
Comparison fields: 5 of 64
- Genetics 224
- Molecular Biology 330
- Plant Science 138
- Cancer Research 50
- Aging 5
Countries citing papers authored by Max L. Dougherty
This map shows the geographic impact of Max L. Dougherty'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 Max L. Dougherty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max L. Dougherty more than expected).
Fields of papers citing papers by Max L. Dougherty
This network shows the impact of papers produced by Max L. Dougherty. 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 Max L. Dougherty. The network helps show where Max L. Dougherty may publish in the future.
Co-authors
The 25 scholars most cited alongside Max L. Dougherty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Characterizing the Major Structural Variant Alleles of the Human Genome Hit paper breakdown → | 2019 | 279 |
| 2 | 2018 | 96 | |
| 3 | 2018 | 41 | |
| 4 | 2017 | 30 | |
| 5 | 2016 | 10 | |
| 6 | 2023 | 8 | |
| 7 | 2014 | 5 | |
| 8 | 2024 | 5 | |
| 9 | 2025 | 3 | |
| 10 | 2025 | 1 |
About Max L. Dougherty
Max L. Dougherty is a scholar working on Genetics, Molecular Biology, Plant Science, Infectious Diseases and Organic Chemistry, having authored 10 papers that have together received 478 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (5 papers), Chromosomal and Genetic Variations (4 papers), Genomics and Phylogenetic Studies (3 papers), Genomics and Rare Diseases (2 papers), Acute Myeloid Leukemia Research (1 paper), Glycosylation and Glycoproteins Research (1 paper), Head and Neck Cancer Studies (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Genetics (224 citations), Molecular Biology (330 citations), Plant Science (138 citations), Cancer Research (50 citations) and Aging (5 citations). Max L. Dougherty has collaborated with scholars based in United States, Italy and India. Frequent co-authors include Evan E. Eichler, Tina A. Graves-Lindsay, Melanie Sorensen, AnneMarie E. Welch, Richard K. Wilson, Bradley J. Nelson, Stuart Cantsilieris, Susan K. Dutcher, Wesley C. Warren and Sean McGrath. Their work appears in journals such as Genome Research, Nature Methods, Molecular Case Studies, Critical Reviews in Oncology/Hematology and Genome biology.
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.