Isabel Molina

34 total papers · 1.5k total citations
29 papers, 825 citations indexed

About

Isabel Molina is a scholar working on Molecular Biology, Plant Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Isabel Molina has authored 29 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Plant Science and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Isabel Molina's work include Developmental Biology and Gene Regulation (8 papers), Neurobiology and Insect Physiology Research (6 papers) and Invertebrate Immune Response Mechanisms (5 papers). Isabel Molina is often cited by papers focused on Developmental Biology and Gene Regulation (8 papers), Neurobiology and Insect Physiology Research (6 papers) and Invertebrate Immune Response Mechanisms (5 papers). Isabel Molina collaborates with scholars based in Spain, Canada and United States. Isabel Molina's co-authors include Jason W. Reed, Kosala Ranathunge, Steven J. Rothstein, Vandana Yadav, Pedro Ripóll, Dylan K. Kosma, Tilman Lamparter, Cayetano González, José Casal and Mar Carmena and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Isabel Molina

27 papers receiving 818 citations

Author Peers

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

Author Last Decade Papers Cites
Isabel Molina 532 524 151 116 65 29 825
Marianne Dauwalder 592 1.1× 399 0.8× 151 1.0× 44 0.4× 26 0.4× 27 882
Sylvain Loubéry 536 1.0× 320 0.6× 350 2.3× 70 0.6× 32 0.5× 24 874
Jeanne M. L. Selker 794 1.5× 260 0.5× 69 0.5× 44 0.4× 19 0.3× 14 1.0k
Alain Mareck 561 1.1× 569 1.1× 195 1.3× 89 0.8× 13 0.2× 22 930
Lily S. Cheung 486 0.9× 554 1.1× 85 0.6× 50 0.4× 56 0.9× 20 938
Mande K. Kumaran 768 1.4× 467 0.9× 46 0.3× 29 0.3× 185 2.8× 15 1.0k
Emanuel Schmid‐Siegert 420 0.8× 548 1.0× 36 0.2× 23 0.2× 31 0.5× 20 741
Fengzhu Wang 382 0.7× 633 1.2× 30 0.2× 49 0.4× 54 0.8× 29 857
Stephanie Walker 360 0.7× 344 0.7× 147 1.0× 20 0.2× 53 0.8× 36 773
You Zhou 416 0.8× 571 1.1× 357 2.4× 37 0.3× 30 0.5× 49 981

Countries citing papers authored by Isabel Molina

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Molina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabel Molina

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