Dan Siegal‐Gaskins

About

Dan Siegal‐Gaskins is a scholar working on Molecular Biology, Genetics and Biophysics. According to data from OpenAlex, Dan Siegal‐Gaskins has authored 13 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Biophysics. Recurrent topics in Dan Siegal‐Gaskins’s work include Gene Regulatory Network Analysis (9 papers), Metabolic Engineering and Synthetic Biology (3 papers) and Bioinformatics and Genomic Networks (3 papers). Dan Siegal‐Gaskins is often cited by papers focused on Gene Regulatory Network Analysis (9 papers), Metabolic Engineering and Synthetic Biology (3 papers) and Bioinformatics and Genomic Networks (3 papers). Dan Siegal‐Gaskins collaborates with scholars based in United States, Hungary and Germany. Dan Siegal‐Gaskins's co-authors include Sean Crosson, Aretha Fiebig, Richard M. Murray, Vincent Noireaux, Erin B. Purcell, David Rawling, Jongmin Kim, Zoltán A. Tuza, Erich Grotewold and Gregory D. Smith and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Plant Journal.

In The Last Decade

Co-authorship network of co-authors of Dan Siegal‐Gaskins i

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Fields of papers citing papers by Dan Siegal‐Gaskins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan Siegal‐Gaskins. 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 Dan Siegal‐Gaskins. The network helps show where Dan Siegal‐Gaskins may publish in the future.

Countries citing papers authored by Dan Siegal‐Gaskins

Since Specialization

Citations

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

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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