Elena Segala

18 total papers · 967 total citations
7 papers, 538 citations indexed

About

Elena Segala is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Elena Segala has authored 7 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Physiology. Recurrent topics in Elena Segala's work include Receptor Mechanisms and Signaling (5 papers), Neuropeptides and Animal Physiology (4 papers) and Adenosine and Purinergic Signaling (4 papers). Elena Segala is often cited by papers focused on Receptor Mechanisms and Signaling (5 papers), Neuropeptides and Animal Physiology (4 papers) and Adenosine and Purinergic Signaling (4 papers). Elena Segala collaborates with scholars based in Netherlands, Indonesia and Italy. Elena Segala's co-authors include Roger Cooke, James C. Errey, R.K. Cheng, Fiona H. Marshall, A.S. Dore, Francesca Deflorian, Cédric Fiez-Vandal, S. Petrella, Wladimir Sougakoff and Vincent Jarlier and has published in prestigious journals such as Scientific Reports, FEBS Letters and Journal of Medicinal Chemistry.

In The Last Decade

Elena Segala

7 papers receiving 527 citations

Author Peers

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

Author Last Decade Papers Cites
Elena Segala 448 209 157 82 61 7 538
L. Nedyalkova 301 0.7× 75 0.4× 47 0.3× 14 0.2× 49 0.8× 9 527
Ariel S. Gross 423 0.9× 384 1.8× 133 0.8× 15 0.2× 202 3.3× 10 608
Mônica S. Freitas 286 0.6× 53 0.3× 45 0.3× 58 0.7× 12 0.2× 15 569
Miriam C. Peeters 455 1.0× 78 0.4× 188 1.2× 10 0.1× 10 0.2× 9 586
D.H. Ives 264 0.6× 45 0.2× 21 0.1× 49 0.6× 64 1.0× 11 555
Sammy R. Shaver 188 0.4× 186 0.9× 19 0.1× 84 1.0× 135 2.2× 12 467
Nancy S. Wang 288 0.6× 30 0.1× 24 0.2× 56 0.7× 36 0.6× 7 459
Miriam de Groote 343 0.8× 322 1.5× 97 0.6× 13 0.2× 273 4.5× 13 564
Stefan Gahbauer 420 0.9× 15 0.1× 111 0.7× 18 0.2× 64 1.0× 10 585
Sara E. Nichols 480 1.1× 11 0.1× 115 0.7× 51 0.6× 58 1.0× 14 600

Countries citing papers authored by Elena Segala

Since Specialization
Citations

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

Fields of papers citing papers by Elena Segala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elena Segala

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