Iván M. Lorenzo

9 total papers · 558 total citations
7 papers, 465 citations indexed

About

Iván M. Lorenzo is a scholar working on Sensory Systems, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Iván M. Lorenzo has authored 7 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Sensory Systems, 3 papers in Molecular Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Iván M. Lorenzo's work include Ion Channels and Receptors (5 papers), Herbal Medicine Research Studies (2 papers) and Pluripotent Stem Cells Research (2 papers). Iván M. Lorenzo is often cited by papers focused on Ion Channels and Receptors (5 papers), Herbal Medicine Research Studies (2 papers) and Pluripotent Stem Cells Research (2 papers). Iván M. Lorenzo collaborates with scholars based in Spain, United States and Ireland. Iván M. Lorenzo's co-authors include Miguel A. Valverde, Wolfgang Liedtke, Michael J. Sanderson, Anna García-Elías, Jacqueline Fernandes, Selma A. Serra, José M. Fernández‐Fernández, Rubén Vicente, Daniel Bachiller and Aarne Fleischer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Iván M. Lorenzo

7 papers receiving 462 citations

Author Peers

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

Author Last Decade Papers Cites
Iván M. Lorenzo 272 185 107 100 60 7 465
Hongshi Xu 275 1.0× 184 1.0× 74 0.7× 102 1.0× 80 1.3× 8 510
Cristina Plata 247 0.9× 198 1.1× 87 0.8× 84 0.8× 84 1.4× 11 463
Lih Chyuan Ng 255 0.9× 288 1.6× 143 1.3× 121 1.2× 100 1.7× 11 510
Sanela Mrkonjić 230 0.8× 230 1.2× 156 1.5× 49 0.5× 53 0.9× 6 467
Yasuhiro Kawarabayashi 232 0.9× 200 1.1× 123 1.1× 45 0.5× 66 1.1× 11 433
Scott D. Gardner 145 0.5× 141 0.8× 81 0.8× 51 0.5× 67 1.1× 8 536
Krisztina Peter 116 0.4× 184 1.0× 44 0.4× 152 1.5× 103 1.7× 7 429
Katharina Mahn 88 0.3× 153 0.8× 215 2.0× 119 1.2× 38 0.6× 8 518
Natalya Vaksman 311 1.1× 85 0.5× 148 1.4× 95 0.9× 104 1.7× 7 457
Subhashini Srivatsan 215 0.8× 215 1.2× 96 0.9× 43 0.4× 57 0.9× 13 527

Countries citing papers authored by Iván M. Lorenzo

Since Specialization
Citations

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

Fields of papers citing papers by Iván M. Lorenzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iván M. Lorenzo. 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 Iván M. Lorenzo. The network helps show where Iván M. Lorenzo may publish in the future.

Co-authorship network of co-authors of Iván M. Lorenzo

This figure shows the co-authorship network connecting the top 25 collaborators of Iván M. Lorenzo. A scholar is included among the top collaborators of Iván M. Lorenzo 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 Iván M. Lorenzo. Iván M. Lorenzo 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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2026