Saba Shahin

24 total papers · 1.1k total citations
17 papers, 648 citations indexed

About

Saba Shahin is a scholar working on Molecular Biology, Biophysics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Saba Shahin has authored 17 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Biophysics and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Saba Shahin's work include Electromagnetic Fields and Biological Effects (7 papers), Reproductive Biology and Fertility (5 papers) and CRISPR and Genetic Engineering (2 papers). Saba Shahin is often cited by papers focused on Electromagnetic Fields and Biological Effects (7 papers), Reproductive Biology and Fertility (5 papers) and CRISPR and Genetic Engineering (2 papers). Saba Shahin collaborates with scholars based in United States and India. Saba Shahin's co-authors include Chandra Mohini Chaturvedi, Surya Pal Singh, Vivek Swarup, Mari Perez‐Rosendahl, Samuel Morabito, Alessandra Cadete Martini, Justine Silva, Elizabeth Head, Neethu Michael and Emily Miyoshi and has published in prestigious journals such as Nature Genetics, American Journal of Physiology-Cell Physiology and Journal of Cellular Physiology.

In The Last Decade

Saba Shahin

16 papers receiving 637 citations

Hit Papers

Single-nucleus chromatin ... 2021 2026 2022 2024 2021 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Saba Shahin 295 172 129 88 78 17 648
Ye Ji Jeong 180 0.6× 122 0.7× 82 0.6× 156 1.8× 63 0.8× 24 653
Pritika Narayan 382 1.3× 40 0.2× 135 1.0× 159 1.8× 63 0.8× 20 700
Sammy Weiser Novak 350 1.2× 62 0.4× 144 1.1× 90 1.0× 62 0.8× 17 675
Douglas Arneson 399 1.4× 35 0.2× 87 0.7× 170 1.9× 93 1.2× 26 747
Haofeng Zhang 456 1.5× 25 0.1× 104 0.8× 23 0.3× 79 1.0× 20 728
Ulrika Björklund 292 1.0× 37 0.2× 123 1.0× 82 0.9× 58 0.7× 26 665
Benoît Aubé 204 0.7× 72 0.4× 135 1.0× 69 0.8× 117 1.5× 10 623
Audrey Karperien 137 0.5× 52 0.3× 288 2.2× 75 0.9× 90 1.2× 22 669
Katalin Völgyi 232 0.8× 83 0.5× 107 0.8× 135 1.5× 26 0.3× 18 589
Jenny I. Szu 243 0.8× 29 0.2× 132 1.0× 75 0.9× 25 0.3× 20 707

Countries citing papers authored by Saba Shahin

Since Specialization
Citations

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

Fields of papers citing papers by Saba Shahin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saba Shahin

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

All Works

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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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