Chris Bakal
Impact in
- Biophysics top 0.5%
- Cell Image Analysis Techniques
- Cell Biology top 1%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
Papers in
- Biophysics 19
- Cell Image Analysis Techniques 17
- Cell Biology 32
- Cellular Mechanics and Interactions 19
- Microtubule and mitosis dynamics 10
- Hippo pathway signaling and YAP/TAZ 8
- Co-authors
- Norbert PerrimonAlexis R. BarrHeba SailemStephanie E. MohrBéla NovákFrank S. HeldtJulia SeroJohn Aach
- Journals
- Scientific Reports (4 papers)Nature Communications (3 papers)Cell Systems (3 papers)Genome Research (3 papers)The Journal of Experimental Medicine (2 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Chris Bakal
72 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 124
- Biophysics 539
- Cell Biology 793
- Cancer Research 585
- Aging 49
- Molecular Biology 1.9k
Countries citing papers authored by Chris Bakal
This map shows the geographic impact of Chris Bakal'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 Chris Bakal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Bakal more than expected).
Fields of papers citing papers by Chris Bakal
This network shows the impact of papers produced by Chris Bakal. 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 Chris Bakal. The network helps show where Chris Bakal may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Bakal, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 13 | |
| 4 | 2023 | 7 | |
| 5 | 2022 | 29 | |
| 6 | 2021 | 11 | |
| 7 | 2019 | 112 | |
| 8 | 2017 | 276 | |
| 9 | 2017 | 3 | |
| 10 | 2016 | 10 | |
| 11 | 2016 | 11 | |
| 12 | 2015 | 23 | |
| 13 | 2015 | 10 | |
| 14 | 2012 | 6 | |
| 15 | 2011 | 39 | |
| 16 | 2008 | 98 | |
| 17 | 2005 | 42 | |
| 18 | 2005 | 50 | |
| 19 | Immunochemical Identification of a Stat3 Analogue in Streptomycetes | 2001 | 1 |
| 20 | 2000 | 92 |
About Chris Bakal
Chris Bakal is a scholar working on Biophysics, Cell Biology, Immunology and Allergy, Cancer Research and Molecular Biology, having authored 74 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (19 papers), Cell Image Analysis Techniques (17 papers), Microtubule and mitosis dynamics (10 papers), Hippo pathway signaling and YAP/TAZ (8 papers), Single-cell and spatial transcriptomics (6 papers), Genomics and Chromatin Dynamics (6 papers), RNA Research and Splicing (6 papers) and 3D Printing in Biomedical Research (5 papers). The work is most often cited by research in Biophysics (539 citations), Cell Biology (793 citations), Cancer Research (585 citations), Aging (49 citations) and Molecular Biology (1.9k citations). Chris Bakal has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Norbert Perrimon, Alexis R. Barr, Heba Sailem, Stephanie E. Mohr, Béla Novák, Frank S. Heldt, Julia Sero, John Aach, George M. Church and Robert Rottapel. Their work appears in journals such as Scientific Reports, Nature Communications, Cell Systems, Genome Research and The Journal of Experimental Medicine.
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.