Max L. Dougherty
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Genetics top 5%
- Genomic variations and chromosomal abnormalities
- Genomics and Rare Diseases
Papers in
- Genetics 4
- Genomic variations and chromosomal abnormalities 3
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- Acute Myeloid Leukemia Research 2
- Hematopoietic Stem Cell Transplantation 1
- Co-authors
- Evan E. Eichler (4 shared papers)Tina A. Graves-Lindsay (2 shared papers)AnneMarie E. Welch (2 shared papers)Richard K. Wilson (2 shared papers)Melanie Sorensen (2 shared papers)Bradley J. Nelson (2 shared papers)Arvis Sulovari (1 shared paper)Stuart Cantsilieris (1 shared paper)
- Journals
- Cell (3 papers)Genome biology (2 papers)Science (1 paper)Cell Genomics (1 paper)Nature Methods (1 paper)
- Partner nations
- United StatesItalyNetherlands
In The Last Decade
Max L. Dougherty
12 papers receiving 1.6k citations
Max L. Dougherty's Hit Papers
Peers
Comparison fields: 5 of 103
- Developmental Neuroscience 218
- Genetics 499
- Molecular Biology 1.1k
- Aging 27
- Cancer Research 109
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 | Establishing Cerebral Organoids as Models of Human-Specific Brain Evolution Hit paper breakdown → | 2019 | 427 |
| 2 | Human-Specific NOTCH2NL Genes Affect Notch Signaling and Cortical Neurogenesis Hit paper breakdown → | 2018 | 397 |
| 3 | Characterizing the Major Structural Variant Alleles of the Human Genome Hit paper breakdown → | 2019 | 311 |
| 4 | 2018 | 258 | |
| 5 | 2018 | 120 | |
| 6 | 2017 | 32 | |
| 7 | 2020 | 23 | |
| 8 | 2023 | 9 | |
| 9 | 2014 | 8 | |
| 10 | 2025 | 4 | |
| 11 | 2025 | 3 | |
| 12 | 2025 | 1 |
About Max L. Dougherty
Max L. Dougherty is a scholar working on Genetics, Hematology, Molecular Biology, Immunology and Developmental Neuroscience, having authored 12 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Chromosomal and Genetic Variations (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Acute Myeloid Leukemia Research (2 papers), Glycosylation and Glycoproteins Research (1 paper), Pluripotent Stem Cells Research (1 paper), Immune Cell Function and Interaction (1 paper) and Hematopoietic Stem Cell Transplantation (1 paper). The work is most often cited by research in Developmental Neuroscience (218 citations), Genetics (499 citations), Molecular Biology (1.1k citations), Aging (27 citations) and Cancer Research (109 citations). Max L. Dougherty has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Evan E. Eichler, Tina A. Graves-Lindsay, AnneMarie E. Welch, Richard K. Wilson, Melanie Sorensen, Bradley J. Nelson, Arvis Sulovari, Stuart Cantsilieris, Susan K. Dutcher and Sean D McGrath. Their work appears in journals such as Cell, Genome biology, Science, Cell Genomics and Nature Methods.
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.