Galit Lahav
Impact in
- Biophysics top 0.2%
- Cell Image Analysis Techniques
- Oncology top 0.5%
- Cancer-related Molecular Pathways
Papers in
-
- DNA Repair Mechanisms 14
- Gene Regulatory Network Analysis 13
- Epigenetics and DNA Methylation 8
- Single-cell and spatial transcriptomics 7
- RNA Research and Splicing 7
- Oncology 37
- Cancer-related Molecular Pathways 33
- Co-authors
- Alexander Loewer (14 shared papers)Jeremy E. Purvis (3 shared papers)Eric Batchelor (7 shared papers)Ashwini Jambhekar (18 shared papers)Antonina Hafner (4 shared papers)Martha L. Bulyk (2 shared papers)Caroline S. Mock (9 shared papers)Naama Geva‐Zatorsky (4 shared papers)
- Journals
- Molecular Biology of the Cell (5 papers)Cell Systems (5 papers)Molecular Cell (4 papers)Cell (4 papers)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- United StatesIsraelDenmark
In The Last Decade
Galit Lahav
62 papers receiving 7.4k citations
Galit Lahav's Hit Papers
Peers
Comparison fields: 5 of 149
- Biophysics 684
- Oncology 2.4k
- Molecular Biology 5.7k
- Cell Biology 1.2k
- Aging 108
Countries citing papers authored by Galit Lahav
This map shows the geographic impact of Galit Lahav'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 Galit Lahav with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Galit Lahav more than expected).
Fields of papers citing papers by Galit Lahav
This network shows the impact of papers produced by Galit Lahav. 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 Galit Lahav. The network helps show where Galit Lahav may publish in the future.
Co-authors
The 25 scholars most cited alongside Galit Lahav, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The multiple mechanisms that regulate p53 activity and cell fate Hit paper breakdown → | 2019 | 813 |
| 2 | Dynamics of the p53-Mdm2 feedback loop in individual cells Hit paper breakdown → | 2004 | 776 |
| 3 | p53 Dynamics Control Cell Fate Hit paper breakdown → | 2012 | 599 |
| 4 | Encoding and Decoding Cellular Information through Signaling Dynamics Hit paper breakdown → | 2013 | 581 |
| 5 | 2006 | 492 | |
| 6 | 2008 | 356 | |
| 7 | 2009 | 317 | |
| 8 | 2012 | 301 | |
| 9 | 2011 | 253 | |
| 10 | 2011 | 208 | |
| 11 | 2016 | 199 | |
| 12 | 2010 | 191 | |
| 13 | 2009 | 186 | |
| 14 | 2010 | 170 | |
| 15 | 2013 | 166 | |
| 16 | 2013 | 126 | |
| 17 | 2006 | 113 | |
| 18 | 2018 | 103 | |
| 19 | 2009 | 98 | |
| 20 | 2013 | 98 |
About Galit Lahav
Galit Lahav is a scholar working on Molecular Biology, Oncology, Cell Biology, Biophysics and Cancer Research, having authored 65 papers that have together received 7.4k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (33 papers), DNA Repair Mechanisms (14 papers), Gene Regulatory Network Analysis (13 papers), Cell Image Analysis Techniques (12 papers), Microtubule and mitosis dynamics (11 papers), Epigenetics and DNA Methylation (8 papers), Single-cell and spatial transcriptomics (7 papers) and RNA Research and Splicing (7 papers). The work is most often cited by research in Biophysics (684 citations), Oncology (2.4k citations), Molecular Biology (5.7k citations), Cell Biology (1.2k citations) and Aging (108 citations). Galit Lahav has collaborated with scholars based in United States, Israel and Denmark. Frequent co-authors include Alexander Loewer, Jeremy E. Purvis, Eric Batchelor, Ashwini Jambhekar, Antonina Hafner, Martha L. Bulyk, Caroline S. Mock, Naama Geva‐Zatorsky, Ran Kafri and Alex Sigal. Their work appears in journals such as Molecular Biology of the Cell, Cell Systems, Molecular Cell, 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.