Zev J. Gartner
- Molecular Biology top 1%
- Biomedical Engineering top 1%
- Immunology top 2%
- Oncology top 5%
- Organic Chemistry top 5%
- Co-authors
- Christopher S. McGinnisLyndsay M. MurrowDavid R. LiuCarolyn R. BertozziMatthew W. KananRozalina GrubinaAdam R. AbateMichael E. Todhunter
- Topics
- 3D Printing in Biomedical Research (24 papers)Cellular Mechanics and Interactions (16 papers)Single-cell and spatial transcriptomics (15 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Zev J. Gartner
88 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Molecular Biology 4.5k
- Biomedical Engineering 1.7k
- Immunology 1.0k
- Oncology 920
- Organic Chemistry 682
Countries citing papers authored by Zev J. Gartner
This map shows the geographic impact of Zev J. Gartner'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 Zev J. Gartner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zev J. Gartner more than expected).
Fields of papers citing papers by Zev J. Gartner
This network shows the impact of papers produced by Zev J. Gartner. 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 Zev J. Gartner. The network helps show where Zev J. Gartner may publish in the future.
Co-authorship network of co-authors of Zev J. Gartner
This figure shows the co-authorship network connecting the top 25 collaborators of Zev J. Gartner. A scholar is included among the top collaborators of Zev J. Gartner 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 Zev J. Gartner. Zev J. Gartner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 130 | |
| 6 | 8 | |
| 7 | 26 | |
| 8 | 1 | |
| 9 | 100 | |
| 10 | MULTI-seq: sample multiplexing for single-cell RNA sequencing using lipid-tagged indicesbreakdown → | 340 |
| 11 | DoubletFinder: Doublet Detection in Single-Cell RNA Sequencing Data Using Artificial Nearest Neighborsbreakdown → | 1912 |
| 12 | 158 | |
| 13 | 23 | |
| 14 | 95 | |
| 15 | 201 | |
| 16 | 21 | |
| 17 | 129 | |
| 18 | 430 | |
| 19 | 128 | |
| 20 | 41 |
About Zev J. Gartner
Zev J. Gartner is a scholar working on Cell Biology, Biomedical Engineering and Molecular Biology, having authored 92 papers that have together received 7.5k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (24 papers), Cellular Mechanics and Interactions (16 papers) and Single-cell and spatial transcriptomics (15 papers). The work is most often cited by research in Molecular Biology (4.5k citations), Biophysics (287 citations) and Immunology (1.0k citations). Zev J. Gartner has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Christopher S. McGinnis, Lyndsay M. Murrow, David R. Liu, Carolyn R. Bertozzi, Matthew W. Kanan, Rozalina Grubina, Adam R. Abate, Michael E. Todhunter, Jeffrey B. Doyon and Thomas M. Snyder. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.