Eric Batchelor
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
- Biophysics top 2%
Papers in
-
- Gene Regulatory Network Analysis 11
- DNA Repair Mechanisms 10
- Single-cell and spatial transcriptomics 5
- RNA and protein synthesis mechanisms 5
- CRISPR and Genetic Engineering 5
- Oncology 13
- Cancer-related Molecular Pathways 13
- Co-authors
- Galit Lahav (7 shared papers)Alexander Loewer (7 shared papers)Mark Goulian (4 shared papers)Caroline S. Mock (3 shared papers)Jeremy E. Purvis (1 shared paper)Kyle W. Karhohs (1 shared paper)Irun Bhan (1 shared paper)Joshua R. Porter (7 shared papers)
- Journals
- Molecular Systems Biology (4 papers)Proceedings of the National Academy of Sciences (3 papers)Molecular Cell (3 papers)Journal of Bacteriology (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Eric Batchelor
38 papers receiving 2.7k citations
Eric Batchelor's Hit Papers
Peers
Comparison fields: 5 of 121
- Oncology 857
- Biophysics 190
- Molecular Biology 2.2k
- Cancer Research 315
- Cell Biology 356
Countries citing papers authored by Eric Batchelor
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
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.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | p53 Dynamics Control Cell Fate Hit paper breakdown → | 2012 | 603 |
| 2 | 2008 | 361 | |
| 3 | 2011 | 258 | |
| 4 | 2003 | 196 | |
| 5 | 2009 | 195 | |
| 6 | 2010 | 193 | |
| 7 | 2005 | 138 | |
| 8 | 2017 | 76 | |
| 9 | 2010 | 74 | |
| 10 | 2016 | 74 | |
| 11 | 2017 | 61 | |
| 12 | 2017 | 57 | |
| 13 | 2020 | 53 | |
| 14 | 2010 | 44 | |
| 15 | 2006 | 40 | |
| 16 | 2022 | 36 | |
| 17 | 2004 | 35 | |
| 18 | 2017 | 33 | |
| 19 | 2016 | 31 | |
| 20 | 2019 | 30 |
About Eric Batchelor
Eric Batchelor is a scholar working on Molecular Biology, Oncology, Cell Biology, Biophysics and Cancer Research, having authored 38 papers that have together received 2.7k 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), Microtubule and mitosis dynamics (6 papers), Cell Image Analysis Techniques (6 papers), Single-cell and spatial transcriptomics (5 papers), RNA and protein synthesis mechanisms (5 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Oncology (857 citations), Biophysics (190 citations), Molecular Biology (2.2k citations), Cancer Research (315 citations) and Cell Biology (356 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, Jeremy E. Purvis, Kyle W. Karhohs, Irun Bhan, Joshua R. Porter, Giorgio Gaglia and Linda J. Kenney. Their work appears in journals such as Molecular Systems Biology, Proceedings of the National Academy of Sciences, Molecular Cell, Journal of Bacteriology and Nucleic Acids Research.
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.