Hana El‐Samad

7.1k citations
78 papers · 4.7k indexed · 4 hit papers · h-index 35
Topics
Gene Regulatory Network Analysis (44 papers)Fungal and yeast genetics research (19 papers)Microbial Metabolic Engineering and Bioproduction (15 papers)
Partner nations
United StatesJapanChile

In The Last Decade

Hana El‐Samad

77 papers receiving 4.6k citations

Hit Papers

Defining Network Topologies that Can Achieve Biochemical ...20092026201420202009201320192020200400600

Peers

Hana El‐Samad
Comparison fields: 5 of 156
  • Molecular Biology 3.7k
  • Cell Biology 732
  • Genetics 514
  • Cellular and Molecular Neuroscience 496
  • Biomedical Engineering 399
Replace Jared E. Toettcher with:
Jared E. Toettcher United States
John G. Albeck United States
Jana Wolf Germany
Edda Klipp Germany
Michael White United Kingdom
Timothy C. Elston United States
Gürol M. Süel United States
Paul A. Johnston United States
Jörg Stelling Switzerland
Lani F. Wu United States
Hana El‐Samad relative to Jared E. Toettcher United States Jared E. Toettcher's profile →
Citations per field
00.5×1.5×2.5×
Jared E. Toettcher · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 1
3 2
4 2
5 18
6
De novo design of protein logic gatesbreakdown →
158
7 147
8
De novo design of bioactive protein switchesbreakdown →
185
9 54
10 15
11 43
12
Conformational biosensors reveal GPCR signalling from endosomesbreakdown →
608
13 5
14 114
15 124
16 3
17 52
18 339
19
Defining Network Topologies that Can Achieve Biochemical Adaptationbreakdown →
664
20 141

About Hana El‐Samad

Hana El‐Samad is a scholar working on Aging, Biophysics and Molecular Biology, having authored 78 papers that have together received 4.7k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (44 papers), Fungal and yeast genetics research (19 papers) and Microbial Metabolic Engineering and Bioproduction (15 papers). The work is most often cited by research in Molecular Biology (3.7k citations), Biophysics (302 citations) and Aging (83 citations). Hana El‐Samad has collaborated with scholars based in United States, Japan and Chile. Frequent 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. Their work appears in journals such as Nature, Science and Cell.

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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