Anton Aboukhalil

768 total citations
8 papers, 377 citations indexed

About

Anton Aboukhalil is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Anton Aboukhalil has authored 8 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Anton Aboukhalil's work include Genomics and Chromatin Dynamics (5 papers), ECG Monitoring and Analysis (2 papers) and Plant Molecular Biology Research (2 papers). Anton Aboukhalil is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), ECG Monitoring and Analysis (2 papers) and Plant Molecular Biology Research (2 papers). Anton Aboukhalil collaborates with scholars based in United States, France and Germany. Anton Aboukhalil's co-authors include Roger G. Mark, Gari D. Clifford, M. A. Saeed, Martha L. Bulyk, Richard L. Maas, Salil A. Lachke, Joshua W. K. Ho, Daniel J. O’Connell, Gregory V. Kryukov and Peter J. Park and has published in prestigious journals such as Bioinformatics, PLoS ONE and Development.

In The Last Decade

Anton Aboukhalil

8 papers receiving 371 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anton Aboukhalil United States 7 190 139 126 120 36 8 377
Weiwei Lu China 10 90 0.5× 22 0.2× 25 0.2× 67 0.6× 19 0.5× 38 344
Rebecca Josowitz United States 10 251 1.3× 124 0.9× 52 0.4× 144 1.2× 49 1.4× 15 477
Tong Qiao China 10 122 0.6× 74 0.5× 41 0.3× 10 0.1× 52 1.4× 44 384
Gerardo Mendizabal‐Ruiz Mexico 12 101 0.5× 75 0.5× 44 0.3× 25 0.2× 12 0.3× 44 495
Luna Simona Pane Germany 8 416 2.2× 112 0.8× 32 0.3× 156 1.3× 50 1.4× 10 495
Hana Lee South Korea 10 123 0.6× 48 0.3× 133 1.1× 31 0.3× 58 1.6× 25 358
Thinh Ngoc Tran United States 7 232 1.2× 70 0.5× 36 0.3× 31 0.3× 13 0.4× 14 302
Kostas Stefanou Greece 10 35 0.2× 285 2.1× 53 0.4× 235 2.0× 16 0.4× 34 442
Janardhan Kamath United States 8 167 0.9× 17 0.1× 36 0.3× 18 0.1× 23 0.6× 11 327
Disheet Shah Finland 10 155 0.8× 53 0.4× 97 0.8× 71 0.6× 7 0.2× 16 289

Countries citing papers authored by Anton Aboukhalil

Since Specialization
Citations

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

Fields of papers citing papers by Anton Aboukhalil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anton Aboukhalil

This figure shows the co-authorship network connecting the top 25 collaborators of Anton Aboukhalil. A scholar is included among the top collaborators of Anton Aboukhalil based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anton Aboukhalil. Anton Aboukhalil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Ahmad, Shaad M., Brian W. Busser, Di Huang, et al.. (2014). Machine learning classification of cell-specific cardiac enhancers uncovers developmental subnetworks regulating progenitor cell division and cell fate specification. Development. 141(4). 878–888. 26 indexed citations
2.
Gisselbrecht, Stephen S., Luis Barrera, Anton Aboukhalil, et al.. (2013). Highly parallel assays of tissue-specific enhancers in whole Drosophila embryos. Nature Methods. 10(8). 774–780. 48 indexed citations
3.
Jumlongras, Dolrudee, Salil A. Lachke, Daniel J. O’Connell, et al.. (2012). An Evolutionarily Conserved Enhancer Regulates Bmp4 Expression in Developing Incisor and Limb Bud. PLoS ONE. 7(6). e38568–e38568. 19 indexed citations
4.
Aboukhalil, Anton & Martha L. Bulyk. (2012). LOESS correction for length variation in gene set-based genomic sequence analysis. Bioinformatics. 28(11). 1446–1454. 6 indexed citations
5.
Lachke, Salil A., Joshua W. K. Ho, Gregory V. Kryukov, et al.. (2012). iSyTE:IntegratedSystemsTool forEye Gene Discovery. Investigative Ophthalmology & Visual Science. 53(3). 1617–1617. 80 indexed citations
6.
Zhu, Xianmin, Shaad M. Ahmad, Anton Aboukhalil, et al.. (2012). Differential regulation of mesodermal gene expression byDrosophilacell type-specific Forkhead transcription factors. Development. 139(8). 1457–1466. 28 indexed citations
7.
Aboukhalil, Anton, et al.. (2008). Reducing false alarm rates for critical arrhythmias using the arterial blood pressure waveform. Journal of Biomedical Informatics. 41(3). 442–451. 149 indexed citations
8.
Clifford, Gari D., Anton Aboukhalil, James Sun, et al.. (2006). Using the blood pressure waveform to reduce critical false ECG alarms. Computing in Cardiology Conference. 829–832. 21 indexed citations

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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