Galit Lahav

10.6k citations
62 papers · 7.3k indexed · 4 hit papers · h-index 37

Impact in

  • Biophysics top 0.2%
    • Cell Image Analysis Techniques
  • Oncology top 1%
    • Cancer-related Molecular Pathways

Papers in

    • Cell Image Analysis Techniques 12
    • Cancer-related Molecular Pathways 32

Galit Lahav

59 papers receiving 7.2k citations

Hit Papers

The multiple mechanisms that regulate p53 activity and cell fate 2019 · 796 citations
7962004202620112018250500750

Peers

Galit Lahav
Comparison fields: 5 of 150
  • Biophysics 699
  • Oncology 2.5k
  • Molecular Biology 5.8k
  • Cell Biology 1.2k
  • Aging 110
Replace Boris Ν. Kholodenko with:
Boris Ν. Kholodenko United States
Paul Yaswen United States
H Wiley United States
John G. Albeck United States
Shridar Ganesan United States
Christine L. Chaffer United States
Amos Tanay Israel
Bernd Bodenmiller Switzerland
Sabrina L. Spencer United States
Béla Novák United Kingdom
Galit Lahav relative to Boris Ν. Kholodenko United States Boris Ν. Kholodenko's profile →
Citations per field
00.5×1.5×2.4×
Boris Ν. Kholodenko · 1×
Citations per year

Countries citing papers authored by Galit Lahav

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Galit Lahav Line = papers co-authored together Galit Lahav links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20242
4 20241
5 20215
6 202154
7 202017
8 202031
9 201917
10 201946
11 2018101
12 201837
13 201714
14 2013124
15 20131
16
p53 Dynamics Control Cell Fate
Hit paper breakdown →
2012592
17 201159
18 20104
19 2009314
20 200610

About Galit Lahav

Galit Lahav is a scholar working on Biophysics, Oncology, Molecular Biology, Cell Biology and Endocrine and Autonomic Systems, having authored 62 papers that have together received 7.3k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (32 papers), DNA Repair Mechanisms (16 papers), Gene Regulatory Network Analysis (13 papers), Cell Image Analysis Techniques (12 papers), Microtubule and mitosis dynamics (10 papers), Single-cell and spatial transcriptomics (8 papers), Epigenetics and DNA Methylation (8 papers) and RNA Research and Splicing (7 papers). The work is most often cited by research in Biophysics (699 citations), Oncology (2.5k citations), Molecular Biology (5.8k citations), Cell Biology (1.2k citations) and Aging (110 citations). Galit Lahav has collaborated with scholars based in United States, Israel and Germany. 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 Reports, Cell, Proceedings of the National Academy of Sciences and Molecular Cell.

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.

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