Michele M. Nava

47 total papers · 2.4k total citations
29 papers, 1.7k citations indexed

About

Michele M. Nava is a scholar working on Biomedical Engineering, Cell Biology and Molecular Biology. According to data from OpenAlex, Michele M. Nava has authored 29 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Biomedical Engineering, 15 papers in Cell Biology and 5 papers in Molecular Biology. Recurrent topics in Michele M. Nava's work include 3D Printing in Biomedical Research (14 papers), Cellular Mechanics and Interactions (13 papers) and Nonlinear Optical Materials Studies (6 papers). Michele M. Nava is often cited by papers focused on 3D Printing in Biomedical Research (14 papers), Cellular Mechanics and Interactions (13 papers) and Nonlinear Optical Materials Studies (6 papers). Michele M. Nava collaborates with scholars based in Italy, Germany and Finland. Michele M. Nava's co-authors include Manuela Teresa Raimondi, Riccardo Pietrabissa, Sara A. Wickström, Yekaterina A. Miroshnikova, Roberto Osellame, Giulio Cerullo, Shane M. Eaton, Matteo Laganà, Carmen Giordano and Lorenza Draghi and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Michele M. Nava

29 papers receiving 1.7k citations

Hit Papers

Heterochromatin-Driven Nu... 2020 2026 2022 2024 2020 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Michele M. Nava 850 537 515 215 183 29 1.7k
Kyle H. Vining 863 1.0× 504 0.9× 680 1.3× 306 1.4× 277 1.5× 24 1.9k
Karl Burgess 894 1.1× 493 0.9× 442 0.9× 348 1.6× 221 1.2× 23 1.7k
Claudia Loebel 913 1.1× 440 0.8× 429 0.8× 501 2.3× 339 1.9× 37 1.9k
Andrés J. Garcı́a 919 1.1× 485 0.9× 226 0.4× 347 1.6× 371 2.0× 20 1.7k
Xinlong Wang 820 1.0× 338 0.6× 277 0.5× 379 1.8× 178 1.0× 45 1.6k
Penelope M. Tsimbouri 1.3k 1.6× 510 0.9× 609 1.2× 339 1.6× 345 1.9× 49 2.1k
Philipp S. Lienemann 896 1.1× 377 0.7× 282 0.5× 333 1.5× 209 1.1× 26 1.5k
Vanessa L.S. LaPointe 921 1.1× 570 1.1× 354 0.7× 386 1.8× 351 1.9× 67 1.8k
Andrew W. Holle 1.2k 1.4× 393 0.7× 879 1.7× 274 1.3× 141 0.8× 33 1.9k
Amr A. Abdeen 739 0.9× 823 1.5× 513 1.0× 306 1.4× 193 1.1× 29 1.9k

Countries citing papers authored by Michele M. Nava

Since Specialization
Citations

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

Fields of papers citing papers by Michele M. Nava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele M. Nava

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