Tahin Syed

11 total papers · 3.1k total citations
4 papers, 292 citations indexed

About

Tahin Syed is a scholar working on Molecular Biology, Signal Processing and Management Science and Operations Research. According to data from OpenAlex, Tahin Syed has authored 4 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Signal Processing and 1 paper in Management Science and Operations Research. Recurrent topics in Tahin Syed's work include Genomics and Chromatin Dynamics (2 papers), CRISPR and Genetic Engineering (2 papers) and RNA and protein synthesis mechanisms (2 papers). Tahin Syed is often cited by papers focused on Genomics and Chromatin Dynamics (2 papers), CRISPR and Genetic Engineering (2 papers) and RNA and protein synthesis mechanisms (2 papers). Tahin Syed collaborates with scholars based in United States, Canada and Netherlands. Tahin Syed's co-authors include Richard I. Sherwood, Yuchun Guo, Sharanya Srinivasan, Matthew D. Edwards, Budhaditya Banerjee, Kameron Kooshesh, Nisha Rajagopal, David K. Gifford, Corey Nislow and Chad L. Myers and has published in prestigious journals such as Nature Biotechnology, Genome biology and DSpace@MIT (Massachusetts Institute of Technology).

In The Last Decade

Tahin Syed

4 papers receiving 289 citations

Author Peers

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

Author Last Decade Papers Cites
Tahin Syed 274 52 29 19 15 4 292
Rachel Waymack 185 0.7× 39 0.8× 30 1.0× 19 1.0× 5 0.3× 6 218
Matthew B. Taylor 227 0.8× 164 3.2× 47 1.6× 11 0.6× 16 1.1× 6 288
Hema Bye‐A‐Jee 250 0.9× 30 0.6× 11 0.4× 15 0.8× 8 0.5× 7 285
Laura Day 238 0.9× 144 2.8× 64 2.2× 6 0.3× 19 1.3× 6 304
Erik Sjölund 251 0.9× 51 1.0× 43 1.5× 16 0.8× 3 0.2× 6 326
Clive Brown 189 0.7× 55 1.1× 31 1.1× 37 1.9× 6 0.4× 5 262
Bryan-Joseph San Luis 151 0.6× 40 0.8× 19 0.7× 13 0.7× 4 0.3× 7 168
Richard She 285 1.0× 45 0.9× 20 0.7× 6 0.3× 12 0.8× 8 309
Kunli Qu 223 0.8× 46 0.9× 41 1.4× 5 0.3× 3 0.2× 7 265
Stephanie Lauer 91 0.3× 60 1.2× 33 1.1× 20 1.1× 5 0.3× 4 157

Countries citing papers authored by Tahin Syed

Since Specialization
Citations

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

Fields of papers citing papers by Tahin Syed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tahin Syed

This figure shows the co-authorship network connecting the top 25 collaborators of Tahin Syed. A scholar is included among the top collaborators of Tahin Syed 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 Tahin Syed. Tahin Syed 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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