Hana El‐Samad

7.1k total citations · 4 hit papers
78 papers, 4.7k citations indexed

About

Hana El‐Samad is a scholar working on Molecular Biology, Biophysics and Cell Biology. According to data from OpenAlex, Hana El‐Samad has authored 78 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 9 papers in Biophysics and 8 papers in Cell Biology. Recurrent topics in Hana El‐Samad's work include Gene Regulatory Network Analysis (44 papers), Fungal and yeast genetics research (19 papers) and Microbial Metabolic Engineering and Bioproduction (15 papers). Hana El‐Samad is often cited by papers focused on Gene Regulatory Network Analysis (44 papers), Fungal and yeast genetics research (19 papers) and Microbial Metabolic Engineering and Bioproduction (15 papers). Hana El‐Samad collaborates with scholars based in United States, Japan and Chile. Hana El‐Samad's co-authors include Mustafa Khammash, Wendell A. Lim, Michael Chevalier, Wenzhe Ma, Ala Trusina, Chao Tang, David Pincus, Jacob Stewart-Ornstein, Peter Walter and Ignacio A. Zuleta and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Hana El‐Samad

77 papers receiving 4.6k citations

Hit Papers

Defining Network Topologies that Can Achieve Biochemical ... 2009 2026 2014 2020 2009 2013 2019 2020 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
Hana El‐Samad United States 35 3.7k 732 514 496 399 78 4.7k
Sabine Schmidt Germany 26 4.3k 1.2× 535 0.7× 530 1.0× 356 0.7× 559 1.4× 76 6.2k
Kurt S. Thorn United States 26 4.1k 1.1× 1.6k 2.2× 285 0.6× 378 0.8× 374 0.9× 35 5.8k
Onn Brandman United States 19 5.1k 1.4× 578 0.8× 668 1.3× 391 0.8× 177 0.4× 31 5.9k
Sina Ghaemmaghami United States 27 8.1k 2.2× 991 1.4× 799 1.6× 224 0.5× 258 0.6× 57 9.1k
Jonathan S. Minden United States 25 2.6k 0.7× 631 0.9× 355 0.7× 292 0.6× 191 0.5× 59 3.6k
Tobias Madl Austria 46 4.7k 1.3× 416 0.6× 279 0.5× 254 0.5× 207 0.5× 192 6.5k
Bogdan Budnik United States 41 4.0k 1.1× 347 0.5× 296 0.6× 299 0.6× 575 1.4× 96 6.1k
Kunio Takeyasu Japan 43 4.2k 1.1× 751 1.0× 749 1.5× 453 0.9× 362 0.9× 182 6.1k
Jana Wolf Germany 23 4.5k 1.2× 533 0.7× 446 0.9× 308 0.6× 174 0.4× 56 6.1k

Countries citing papers authored by Hana El‐Samad

Since Specialization
Citations

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

Fields of papers citing papers by Hana El‐Samad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hana El‐Samad. 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 Hana El‐Samad. The network helps show where Hana El‐Samad may publish in the future.

Co-authorship network of co-authors of Hana El‐Samad

This figure shows the co-authorship network connecting the top 25 collaborators of Hana El‐Samad. A scholar is included among the top collaborators of Hana El‐Samad 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 Hana El‐Samad. Hana El‐Samad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
El‐Samad, Hana. (2022). Mr. President, Mandate an Equitable Bioeconomy. 1(5). 402–403. 1 indexed citations
3.
El‐Samad, Hana & Fay Y. Lin. (2022). The Vision for GEN Biotechnology : From Precision Biology to Engaging a Broad Audience. 1(1). 21–25. 2 indexed citations
4.
Nguyen, Taylor H., Galen Dods, Mariana Gómez-Schiavon, et al.. (2022). Competitive Displacement of De Novo Designed HeteroDimers Can Reversibly Control Protein–Protein Interactions and Implement Feedback in Synthetic Circuits. 1(1). 91–100. 2 indexed citations
5.
Woodall, Nicholas B., Zara Y. Weinberg, Florian Büsch, et al.. (2021). De novo design of tyrosine and serine kinase-driven protein switches. Nature Structural & Molecular Biology. 28(9). 762–770. 18 indexed citations
6.
Chen, Zibo, Ryan D. Kibler, Andrew C. Hunt, et al.. (2020). De novo design of protein logic gates. Science. 368(6486). 78–84. 158 indexed citations breakdown →
7.
Westbrook, Alexandra, et al.. (2019). Control theoretical concepts for synthetic and systems biology. Current Opinion in Systems Biology. 14. 50–57. 16 indexed citations
8.
Lucas, James E., Kyle E. Watters, Christof Fellmann, et al.. (2019). Controlling CRISPR-Cas9 with ligand-activated and ligand-deactivated sgRNAs. Nature Communications. 10(1). 2127–2127. 147 indexed citations
9.
Harrigan, Patrick, Hiten D. Madhani, & Hana El‐Samad. (2018). Real-Time Genetic Compensation Defines the Dynamic Demands of Feedback Control. Cell. 175(3). 877–886.e10. 54 indexed citations
10.
Stewart-Ornstein, Jacob, Susan Chen, Rajat Bhatnagar, Jonathan S. Weissman, & Hana El‐Samad. (2016). Model-guided optogenetic study of PKA signaling in budding yeast. Molecular Biology of the Cell. 28(1). 221–227. 15 indexed citations
11.
Stewart-Ornstein, Jacob, et al.. (2014). Using Dynamic Noise Propagation to Infer Causal Regulatory Relationships in Biochemical Networks. ACS Synthetic Biology. 4(3). 258–264. 13 indexed citations
12.
Irannejad, Roshanak, Michael Chevalier, Jacob P. Mahoney, et al.. (2013). Conformational biosensors reveal GPCR signalling from endosomes. Nature. 495(7442). 534–538. 608 indexed citations breakdown →
13.
Stewart-Ornstein, Jacob, Christopher S. Nelson, Joe DeRisi, Jonathan S. Weissman, & Hana El‐Samad. (2013). Msn2 Coordinates a Stoichiometric Gene Expression Program. Current Biology. 23(23). 2336–2345. 43 indexed citations
14.
Stewart-Ornstein, Jacob & Hana El‐Samad. (2012). Stochastic Modeling of Cellular Networks. Methods in cell biology. 110. 111–137. 5 indexed citations
15.
Pincus, David, et al.. (2011). Homeostatic adaptation to endoplasmic reticulum stress depends on Ire1 kinase activity. The Journal of Cell Biology. 193(1). 171–184. 124 indexed citations
16.
El‐Samad, Hana & Hiten D. Madhani. (2011). Can a Systems Perspective Help Us Appreciate the Biological Meaning of Small Effects?. Developmental Cell. 21(1). 11–13. 3 indexed citations
17.
McCullagh, Emma, et al.. (2010). Coordinate control of gene expression noise and interchromosomal interactions in a MAP kinase pathway. Nature Cell Biology. 12(10). 954–962. 52 indexed citations
18.
August, Elias, et al.. (2010). Discriminating between rival biochemical network models: three approaches to optimal experiment design. BMC Systems Biology. 4(1). 38–38. 44 indexed citations
19.
Ma, Wenzhe, Ala Trusina, Hana El‐Samad, Wendell A. Lim, & Chao Tang. (2009). Defining Network Topologies that Can Achieve Biochemical Adaptation. Cell. 138(4). 760–773. 664 indexed citations breakdown →
20.
El‐Samad, Hana, Jesse P. Goff, & Mustafa Khammash. (2002). Calcium Homeostasis and Parturient Hypocalcemia: An Integral Feedback Perspective. Journal of Theoretical Biology. 214(1). 17–29. 141 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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