Eric Batchelor

3.8k citations

37 papers · 2.6k indexed · 1 hit paper · h-index 22

Impact in

Biophysics top 2%
Molecular Biology top 5%
- Gene Regulatory Network Analysis
- DNA Repair Mechanisms
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- CRISPR and Genetic Engineering

Papers in ⓘ

Biophysics 7
- Cell Image Analysis Techniques 6
Aging 1

Co-authors: Galit Lahav (7 shared papers)Alexander Loewer (7 shared papers)Mark Goulian (4 shared papers)Caroline S. Mock (3 shared papers)Charles Mock (1 shared paper)Jeremy E. Purvis (1 shared paper)Kyle W. Karhohs (1 shared paper)Irun Bhan (1 shared paper)
Journals: Molecular Systems Biology (4 papers)Molecular Cell (3 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of Bacteriology (2 papers)Journal of Visualized Experiments (2 papers)
Partner nations: United States India Germany

In The Last Decade

Eric Batchelor

37 papers receiving 2.6k citations

Hit Papers

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p53 Dynamics Control Cell Fate 2012 · 592 citations

Peers

Countries citing papers authored by Eric Batchelor

Since Specialization

Citations

This map shows the geographic impact of Eric Batchelor'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 Eric Batchelor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Batchelor more than expected).

Fields of papers citing papers by Eric Batchelor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Batchelor. 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 Eric Batchelor. The network helps show where Eric Batchelor may publish in the future.

Co-authors

The 25 scholars most cited alongside Eric Batchelor, 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 Eric Batchelor Line = papers co-authored together Eric Batchelor links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	p53 Dynamics Control Cell Fate Science ·Jeremy E. Purvis, Kyle W. Karhohs, Charles Mock, Eric Batchelor, Alexander Loewer, Galit Lahav Hit paper breakdown →	2012	592
2	Recurrent Initiation: A Mechanism for Triggering p53 Pulses in Response to DNA Damage Molecular Cell ·Eric Batchelor, Caroline S. Mock, Irun Bhan, Alexander Loewer, Galit Lahav	2008	353
3	Stimulus‐dependent dynamics of p53 in single cells Molecular Systems Biology ·Eric Batchelor, Alexander Loewer, Caroline S. Mock, Galit Lahav	2011	251
4	Basal Dynamics of p53 Reveal Transcriptionally Attenuated Pulses in Cycling Cells Cell ·Alexander Loewer, Eric Batchelor, Giorgio Gaglia, Galit Lahav	2010	190
5	Robustness and the cycle of phosphorylation and dephosphorylation in a two-component regulatory system Proceedings of the National Academy of Sciences ·Eric Batchelor, Mark Goulian	2003	188
6	The ups and downs of p53: understanding protein dynamics in single cells Nature reviews. Cancer ·Eric Batchelor, Alexander Loewer, Galit Lahav	2009	185
7	The Escherichia coli CpxA-CpxR Envelope Stress Response System Regulates Expression of the Porins OmpF and OmpC Journal of Bacteriology ·Eric Batchelor, Don Walthers, Linda J. Kenney, Mark Goulian	2005	133
8	p53 Pulses Diversify Target Gene Expression Dynamics in an mRNA Half-Life-Dependent Manner and Delineate Co-regulated Target Gene Subnetworks Cell Systems ·Joshua R. Porter, Brian E. Fisher, Eric Batchelor	2016	74
9	NFκB Promotes Ovarian Tumorigenesis via Classical Pathways That Support Proliferative Cancer Cells and Alternative Pathways That Support ALDH+ Cancer Stem–like Cells Cancer Research ·Carrie D. House, Elizabeth Jordan, Lídia Hernandez, Michelle Ozaki, Jana M. James, Marianne Kim, Michael J. Kruhlak, Eric Batchelor, Fathi Elloumi, Margaret C. Cam, Christina M. Annunziata	2017	69
10	Fourier analysis and systems identification of the p53 feedback loop Proceedings of the National Academy of Sciences ·Naama Geva‐Zatorsky, E. Dekel, Eric Batchelor, Galit Lahav, Uri Alon	2010	65
11	CRISPR/Cas9-mediated gene knockout is insensitive to target copy number but is dependent on guide RNA potency and Cas9/sgRNA threshold expression level Nucleic Acids Research ·Garmen Yuen, Fehad J. Khan, Shaojian Gao, Jayne M. Stommel, Eric Batchelor, Xiaolin Wu, Ji Luo	2017	57
12	Global Inhibition with Specific Activation: How p53 and MYC Redistribute the Transcriptome in the DNA Double-Strand Break Response Molecular Cell ·Joshua R. Porter, Brian E. Fisher, Laura Baranello, Julia Liu, Diane M. Kambach, Zuqin Nie, Woo Seuk Koh, Ji Luo, Jayne M. Stommel, David Levens, Eric Batchelor	2017	56
13	Dissecting transcriptional amplification by MYC eLife ·Zuqin Nie, Chunhua Guo, Subhendu Das, Carson C. Chow, Eric Batchelor, S. Stoney Simons, David Levens	2020	49
14	A synthetic–natural hybrid oscillator in human cells Proceedings of the National Academy of Sciences ·Jared E. Toettcher, Caroline S. Mock, Eric Batchelor, Alexander Loewer, Galit Lahav	2010	43
15	Imaging OmpR localization in Escherichia coli Molecular Microbiology ·Eric Batchelor, Mark Goulian	2006	38
16	Continuous Control in Bacterial Regulatory Circuits Journal of Bacteriology ·Eric Batchelor, Thomas J. Silhavy, Mark Goulian	2004	35
17	Coordination of MAPK and p53 dynamics in the cellular responses to DNA damage and oxidative stress Molecular Systems Biology ·Ryan L. Hanson, Eric Batchelor	2022	32
18	Disabled cell density sensing leads to dysregulated cholesterol synthesis in glioblastoma Oncotarget ·Diane M. Kambach, Alan Halim, A. Gesine Cauer, Qian Sun, Carlos A. Tristan, Orieta Celiku, Aparna H. Kesarwala, Uma Shankavaram, Eric Batchelor, Jayne M. Stommel	2017	30
19	Far Upstream Element Binding Protein Plays a Crucial Role in Embryonic Development, Hematopoiesis, and Stabilizing Myc Expression Levels American Journal Of Pathology ·Weixin Zhou, Yang Jo Chung, Edgardo R. Parrilla Castellar, Ying Zheng, Hye-Jung Chung, Russell Bandle, Juhong Liu, Lino Tessarollo, Eric Batchelor, Peter D. Aplan, David Levens	2016	29
20	p53 pulse modulation differentially regulates target gene promoters to regulate cell fate decisions Molecular Systems Biology ·Marie D. Harton, Woo Seuk Koh, Amie D Bunker, Abhyudai Singh, Eric Batchelor	2019	28

About Eric Batchelor

Eric Batchelor is a scholar working on Biophysics, Aging, Molecular Biology, Oncology and Cell Biology, having authored 37 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (13 papers), Gene Regulatory Network Analysis (11 papers), DNA Repair Mechanisms (10 papers), Cell Image Analysis Techniques (6 papers), Microtubule and mitosis dynamics (6 papers), Single-cell and spatial transcriptomics (5 papers), CRISPR and Genetic Engineering (5 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Biophysics (193 citations), Molecular Biology (2.2k citations), Oncology (854 citations), Cell Biology (355 citations) and Cancer Research (326 citations). Eric Batchelor has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Galit Lahav, Alexander Loewer, Mark Goulian, Caroline S. Mock, Charles Mock, Jeremy E. Purvis, Kyle W. Karhohs, Irun Bhan, Joshua R. Porter and Giorgio Gaglia. Their work appears in journals such as Molecular Systems Biology, Molecular Cell, Proceedings of the National Academy of Sciences, Journal of Bacteriology and Journal of Visualized Experiments.

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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