Alma Dal Co

39 total papers · 1.4k total citations
15 papers, 551 citations indexed

About

Alma Dal Co is a scholar working on Molecular Biology, Genetics and Sociology and Political Science. According to data from OpenAlex, Alma Dal Co has authored 15 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Genetics and 3 papers in Sociology and Political Science. Recurrent topics in Alma Dal Co's work include Gene Regulatory Network Analysis (7 papers), Evolution and Genetic Dynamics (5 papers) and Bacterial Genetics and Biotechnology (3 papers). Alma Dal Co is often cited by papers focused on Gene Regulatory Network Analysis (7 papers), Evolution and Genetic Dynamics (5 papers) and Bacterial Genetics and Biotechnology (3 papers). Alma Dal Co collaborates with scholars based in Switzerland, Canada and United States. Alma Dal Co's co-authors include Martin Ackermann, Simon van Vliet, Daniel J. Kiviet, Susan Schlegel, Matteo Osella, Michele Caselle, Marco Cosentino Lagomarsino, Bärbel Stecher, Glen G D’Souza and Avigdor Eldar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Alma Dal Co

14 papers receiving 549 citations

Hit Papers

Short-range interactions ... 2020 2026 2022 2024 2020 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Alma Dal Co 351 168 144 95 74 15 551
Simon van Vliet 324 0.9× 181 1.1× 176 1.2× 85 0.9× 116 1.6× 23 605
Lon M. Chubiz 326 0.9× 77 0.5× 238 1.7× 129 1.4× 63 0.9× 23 603
Francisco Díaz-Pascual 380 1.1× 152 0.9× 76 0.5× 86 0.9× 18 0.2× 12 600
Eric Jelli 238 0.7× 89 0.5× 59 0.4× 78 0.8× 20 0.3× 13 459
Johannes M. Keegstra 313 0.9× 154 0.9× 62 0.4× 111 1.2× 12 0.2× 16 503
Shaul Pollak 351 1.0× 178 1.1× 176 1.2× 43 0.5× 40 0.5× 18 522
Severin Schink 388 1.1× 85 0.5× 199 1.4× 76 0.8× 26 0.4× 13 570
Robert G. Egbert 340 1.0× 69 0.4× 88 0.6× 88 0.9× 13 0.2× 16 490
Alex J. H. Fedorec 324 0.9× 83 0.5× 77 0.5× 124 1.3× 25 0.3× 19 482
Matthew Jemielita 272 0.8× 80 0.5× 57 0.4× 54 0.6× 11 0.1× 10 498

Countries citing papers authored by Alma Dal Co

Since Specialization
Citations

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

Fields of papers citing papers by Alma Dal Co

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alma Dal Co. 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 Alma Dal Co. The network helps show where Alma Dal Co may publish in the future.

Co-authorship network of co-authors of Alma Dal Co

This figure shows the co-authorship network connecting the top 25 collaborators of Alma Dal Co. A scholar is included among the top collaborators of Alma Dal Co 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 Alma Dal Co. Alma Dal Co 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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