Daniel Malawsky
Impact in
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- Glioma Diagnosis and Treatment
- Genetic Associations and Epidemiology
Papers in
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- Single-cell and spatial transcriptomics 3
- Epigenetics and DNA Methylation 3
- Receptor Mechanisms and Signaling 2
- Advanced biosensing and bioanalysis techniques 1
- Genetics 5
- Glioma Diagnosis and Treatment 4
- Genetic Associations and Epidemiology 3
- Co-authors
- Timothy R. Gershon (6 shared papers)Jacob D. Ramsey (1 shared paper)Marina Sokolsky‐Papkov (1 shared paper)Virginia Godfrey (1 shared paper)Duhyeong Hwang (1 shared paper)Alexander V. Kabanov (1 shared paper)Chaemin Lim (1 shared paper)Nicholas W. Plummer (3 shared papers)
- Journals
- Nature Communications (2 papers)Molecular Psychiatry (2 papers)iScience (1 paper)Clinical Cancer Research (1 paper)The American Journal of Human Genetics (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Daniel Malawsky
10 papers receiving 99 citations
Peers
Comparison fields: 5 of 53
- Genetics 34
- Behavioral Neuroscience 3
- Endocrine and Autonomic Systems 5
- Molecular Biology 42
- Cellular and Molecular Neuroscience 11
Countries citing papers authored by Daniel Malawsky
This map shows the geographic impact of Daniel Malawsky'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 Daniel Malawsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Malawsky more than expected).
Fields of papers citing papers by Daniel Malawsky
This network shows the impact of papers produced by Daniel Malawsky. 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 Daniel Malawsky. The network helps show where Daniel Malawsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Malawsky, 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 | 2022 | 27 | |
| 2 | 2018 | 23 | |
| 3 | 2021 | 14 | |
| 4 | 2021 | 10 | |
| 5 | 2022 | 8 | |
| 6 | 2022 | 6 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 1 | |
| 11 | 2024 | 0 | |
| 12 | 2025 | 0 | |
| 13 | 2025 | 0 | |
| 14 | 2019 | 0 | |
| 15 | 2024 | 0 |
About Daniel Malawsky
Daniel Malawsky is a scholar working on Molecular Biology, Genetics, Genetics, Cancer Research and Psychiatry and Mental health, having authored 15 papers that have together received 99 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (4 papers), Single-cell and spatial transcriptomics (3 papers), Epigenetics and DNA Methylation (3 papers), Genetic Associations and Epidemiology (3 papers), Receptor Mechanisms and Signaling (2 papers), Cancer Genomics and Diagnostics (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Genetics (34 citations), Behavioral Neuroscience (3 citations), Endocrine and Autonomic Systems (5 citations), Molecular Biology (42 citations) and Cellular and Molecular Neuroscience (11 citations). Daniel Malawsky has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Timothy R. Gershon, Jacob D. Ramsey, Marina Sokolsky‐Papkov, Virginia Godfrey, Duhyeong Hwang, Alexander V. Kabanov, Chaemin Lim, Nicholas W. Plummer, Manasmita Das and Esteban A. Oyarzabal. Their work appears in journals such as Nature Communications, Molecular Psychiatry, iScience, Clinical Cancer Research and The American Journal of Human Genetics.
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.