Michael Zager

17.9k total citations · 1 hit paper
12 papers, 1.0k citations indexed

About

Michael Zager is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Michael Zager has authored 12 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Genetics. Recurrent topics in Michael Zager's work include Single-cell and spatial transcriptomics (3 papers), RNA Research and Splicing (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). Michael Zager is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), RNA Research and Splicing (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). Michael Zager collaborates with scholars based in United States, South Africa and Switzerland. Michael Zager's co-authors include Diana R. O’Day, Kimberly A. Aldinger, Jay Shendure, Junyue Cao, Frank J. Steemers, Dan Doherty, Ian A. Glass, Fan Zhang, Hannah A. Pliner and Riza M. Daza and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Biotechnology.

In The Last Decade

Michael Zager

11 papers receiving 1.0k citations

Hit Papers

A human cell atlas of fetal gene expression 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Zager United States 6 781 159 153 99 92 12 1.0k
Voichita D. Marinescu Sweden 14 720 0.9× 109 0.7× 174 1.1× 94 0.9× 114 1.2× 24 955
Satoru Sasagawa Japan 19 958 1.2× 209 1.3× 114 0.7× 75 0.8× 66 0.7× 37 1.3k
Lindsay M. LaFave United States 8 808 1.0× 161 1.0× 258 1.7× 137 1.4× 66 0.7× 15 1.0k
Charlotte Labalette France 14 1.1k 1.4× 146 0.9× 196 1.3× 206 2.1× 37 0.4× 15 1.3k
Kristoffer Weber Germany 13 717 0.9× 436 2.7× 155 1.0× 122 1.2× 70 0.8× 17 1.1k
Paolo Armando Gagliardi Italy 18 672 0.9× 217 1.4× 201 1.3× 99 1.0× 44 0.5× 32 1.1k
Emily F. Davis-Marcisak United States 18 698 0.9× 180 1.1× 152 1.0× 139 1.4× 44 0.5× 36 1.1k
Gavin D. Grant United States 14 904 1.2× 326 2.1× 208 1.4× 83 0.8× 31 0.3× 17 1.2k
Aldo Massimi United States 9 1.1k 1.4× 238 1.5× 312 2.0× 127 1.3× 70 0.8× 15 1.6k
Adam Officer United States 9 679 0.9× 213 1.3× 114 0.7× 277 2.8× 79 0.9× 17 1.1k

Countries citing papers authored by Michael Zager

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Michael Zager

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Zager. A scholar is included among the top collaborators of Michael Zager based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Zager. Michael Zager is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Purice, Maria D., Connor Finkbeiner, Feinan Wu, et al.. (2025). Molecular profiling of adult C. elegans glia across sexes by single-nuclear RNA-seq. Developmental Cell. 60(19). 2659–2678.e10. 1 indexed citations
4.
Pattwell, Siobhan S., Sonali Arora, Michael Zager, et al.. (2022). Oncogenic role of a developmentally regulated NTRK2 splice variant. Science Advances. 8(40). eabo6789–eabo6789. 3 indexed citations
5.
Savić, Radojka M., et al.. (2022). Model‐informed drug development of voxelotor in sickle cell disease: Population pharmacokinetics in whole blood and plasma. CPT Pharmacometrics & Systems Pharmacology. 11(6). 687–697. 5 indexed citations
6.
Carpp, Lindsay N., et al.. (2021). Single-cell immunology of SARS-CoV-2 infection. Nature Biotechnology. 40(1). 30–41. 61 indexed citations
7.
Pattwell, Siobhan S., Sonali Arora, Michael Zager, et al.. (2021). TMOD-30. NTRK2 SPLICE VARIANT, TRKB.T1, LINKS NEUROBIOLOGY, EMBRYONIC DEVELOPMENT, AND ONCOGENESIS. Neuro-Oncology. 23(Supplement_6). vi222–vi222. 1 indexed citations
8.
Domcke, Silvia, Andrew J. Hill, Riza M. Daza, et al.. (2020). A human cell atlas of fetal chromatin accessibility. Science. 370(6518). 230 indexed citations
9.
Cao, Junyue, Diana R. O’Day, Hannah A. Pliner, et al.. (2020). A human cell atlas of fetal gene expression. Science. 370(6518). 383 indexed citations breakdown →
10.
Cimino, Patrick J., Michael Zager, Lisa McFerrin, et al.. (2017). Multidimensional scaling of diffuse gliomas: application to the 2016 World Health Organization classification system with prognostically relevant molecular subtype discovery. Acta Neuropathologica Communications. 5(1). 39–39. 79 indexed citations
11.
Murray, Brion W., Chuangxing Guo, Joseph Piraino, et al.. (2010). Small-molecule p21-activated kinase inhibitor PF-3758309 is a potent inhibitor of oncogenic signaling and tumor growth. Proceedings of the National Academy of Sciences. 107(20). 9446–9451. 253 indexed citations
12.
Prigodich, Richard V. & Michael Zager. (1995). Indexing crystal faces. Powder Diffraction. 10(2). 127–128. 2 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026