Adrian Heilbut

7.6k total citations · 1 hit paper
8 papers, 1.6k citations indexed

About

Adrian Heilbut is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Adrian Heilbut has authored 8 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Adrian Heilbut's work include Computational Drug Discovery Methods (2 papers), Gene Regulatory Network Analysis (2 papers) and Fungal and yeast genetics research (2 papers). Adrian Heilbut is often cited by papers focused on Computational Drug Discovery Methods (2 papers), Gene Regulatory Network Analysis (2 papers) and Fungal and yeast genetics research (2 papers). Adrian Heilbut collaborates with scholars based in United States, Canada and France. Adrian Heilbut's co-authors include Joseph Lehár, Margaret Lee, Andrew Krueger, Glenn F. Short, Alexis A. Borisy, Grant R. Zimmermann, Lisa M. Johansen, William Avery, Xiaowei Jin and Richard J. Rickles and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Biotechnology.

In The Last Decade

Adrian Heilbut

8 papers receiving 1.6k citations

Hit Papers

Synergistic drug combinations tend to improve therapeutic... 2009 2026 2014 2020 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adrian Heilbut United States 8 822 294 226 183 159 8 1.6k
Richard Foster United Kingdom 29 1.2k 1.5× 272 0.9× 85 0.4× 81 0.4× 78 0.5× 97 2.4k
Yuhong Du United States 34 1.9k 2.3× 107 0.4× 161 0.7× 49 0.3× 190 1.2× 96 3.0k
Edward Price United States 9 1.2k 1.4× 78 0.3× 345 1.5× 206 1.1× 344 2.2× 13 1.9k
Robert A. Mook United States 24 1.2k 1.4× 123 0.4× 120 0.5× 47 0.3× 147 0.9× 38 1.9k
Michelle Palmer United States 24 1.1k 1.3× 199 0.7× 76 0.3× 25 0.1× 102 0.6× 64 2.0k
Stéphanie Grandemange France 23 1.4k 1.7× 77 0.3× 46 0.2× 108 0.6× 106 0.7× 54 2.0k
Yuxi Wang China 34 1.8k 2.2× 234 0.8× 155 0.7× 63 0.3× 41 0.3× 99 3.2k
Hongxiang Hu United States 15 703 0.9× 63 0.2× 267 1.2× 351 1.9× 53 0.3× 36 1.9k

Countries citing papers authored by Adrian Heilbut

Since Specialization
Citations

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

Fields of papers citing papers by Adrian Heilbut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrian Heilbut

This figure shows the co-authorship network connecting the top 25 collaborators of Adrian Heilbut. A scholar is included among the top collaborators of Adrian Heilbut 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 Adrian Heilbut. Adrian Heilbut 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.
Carmona, Vítor, Robert J. Fenster, Ruth Kulicke, et al.. (2017). Control of Huntington’s Disease-Associated Phenotypes by the Striatum-Enriched Transcription Factor Foxp2. Cell Reports. 21(10). 2688–2695. 20 indexed citations
2.
Heiman, Myriam, Adrian Heilbut, Veronica Francardo, et al.. (2014). Molecular adaptations of striatal spiny projection neurons during levodopa-induced dyskinesia. Proceedings of the National Academy of Sciences. 111(12). 4578–4583. 85 indexed citations
3.
Talkowski, Michael E., Carl Ernst, Adrian Heilbut, et al.. (2011). Next-Generation Sequencing Strategies Enable Routine Detection of Balanced Chromosome Rearrangements for Clinical Diagnostics and Genetic Research. The American Journal of Human Genetics. 88(4). 469–481. 120 indexed citations
4.
Suzuki, Yo, Robert P. St.Onge, Ramamurthy Mani, et al.. (2011). Knocking out multigene redundancies via cycles of sexual assortment and fluorescence selection. Nature Methods. 8(2). 159–164. 50 indexed citations
5.
Lehár, Joseph, Andrew Krueger, William Avery, et al.. (2009). Synergistic drug combinations tend to improve therapeutically relevant selectivity. Nature Biotechnology. 27(7). 659–666. 742 indexed citations breakdown →
6.
Lehár, Joseph, Grant R. Zimmermann, Andrew Krueger, et al.. (2007). Chemical combination effects predict connectivity in biological systems. Molecular Systems Biology. 3(1). 80–80. 210 indexed citations
7.
Bader, Gary D., Adrian Heilbut, Brenda Andrews, et al.. (2003). Functional genomics and proteomics: charting a multidimensional map of the yeast cell. Trends in Cell Biology. 13(7). 344–356. 77 indexed citations
8.
Cowan, Kyle N., Adrian Heilbut, Tilman Humpl, et al.. (2000). Complete reversal of fatal pulmonary hypertension in rats by a serine elastase inhibitor. Nature Medicine. 6(6). 698–702. 290 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026