Michael Zager
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Molecular Biology top 10%
- Single-cell and spatial transcriptomics
- Protein Kinase Regulation and GTPase Signaling
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
Papers in
-
- Single-cell and spatial transcriptomics 3
- RNA Research and Splicing 2
- DNA Repair Mechanisms 1
- Ubiquitin and proteasome pathways 1
- Gene expression and cancer classification 1
- 14-3-3 protein interactions 1
- Oncology 4
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Kimberly A. Aldinger (2 shared papers)Hannah A. Pliner (2 shared papers)Fan Zhang (2 shared papers)Riza M. Daza (2 shared papers)Diana R. O’Day (2 shared papers)Junyue Cao (4 shared papers)Dan Doherty (2 shared papers)Jay Shendure (4 shared papers)
- Journals
- Science (2 papers)eLife (2 papers)Developmental Cell (1 paper)Neuro-Oncology (1 paper)CPT Pharmacometrics & Systems Pharmacology (1 paper)
- Partner nations
- United StatesSouth AfricaGermany
In The Last Decade
Michael Zager
11 papers receiving 1.1k citations
Michael Zager's Hit Papers
Peers
Comparison fields: 5 of 85
- Biophysics 78
- Molecular Biology 763
- Cancer Research 132
- Genetics 90
- Oncology 144
Countries citing papers authored by Michael Zager
This map shows the geographic impact of Michael Zager'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 Zager with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Zager more than expected).
Fields of papers citing papers by Michael Zager
This network shows the impact of papers produced by Michael Zager. 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 Zager. The network helps show where Michael Zager may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Zager, 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 | A human cell atlas of fetal gene expression Hit paper breakdown → | 2020 | 406 |
| 2 | 2010 | 254 | |
| 3 | 2020 | 241 | |
| 4 | 2017 | 80 | |
| 5 | 2021 | 63 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 5 | |
| 8 | 2024 | 2 | |
| 9 | 1995 | 2 | |
| 10 | 2021 | 1 | |
| 11 | 2025 | 1 | |
| 12 | Writing Music for Television and Radio Commercials | 2012 | 1 |
| 13 | 2023 | 0 |
About Michael Zager
Michael Zager is a scholar working on Molecular Biology, Oncology, Genetics, Neurology and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), RNA Research and Splicing (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), DNA Repair Mechanisms (1 paper), Ubiquitin and proteasome pathways (1 paper), Ferroptosis and cancer prognosis (1 paper), Gene expression and cancer classification (1 paper) and 14-3-3 protein interactions (1 paper). The work is most often cited by research in Biophysics (78 citations), Molecular Biology (763 citations), Cancer Research (132 citations), Genetics (90 citations) and Oncology (144 citations). Michael Zager has collaborated with scholars based in United States, South Africa and Germany. Frequent co-authors include Kimberly A. Aldinger, Hannah A. Pliner, Fan Zhang, Riza M. Daza, Diana R. O’Day, Junyue Cao, Dan Doherty, Jay Shendure, Frank J. Steemers and Ian A. Glass. Their work appears in journals such as Science, eLife, Developmental Cell, Neuro-Oncology and CPT Pharmacometrics & Systems Pharmacology.
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.