Michelle Nannini

160 total papers · 3.5k total citations
35 papers, 1.5k citations indexed

About

Michelle Nannini is a scholar working on Molecular Biology, Oncology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michelle Nannini has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Oncology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Michelle Nannini's work include PI3K/AKT/mTOR signaling in cancer (9 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Stress Responses and Cortisol (4 papers). Michelle Nannini is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (9 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Stress Responses and Cortisol (4 papers). Michelle Nannini collaborates with scholars based in United States, France and Switzerland. Michelle Nannini's co-authors include Clyde W. Hodge, M. Foster Olive, Heather N. Koenig, Kristin K. Mehmert, Stephen P. Kelley, Alison M. Bratt, Rosana Camarini, Deepak Sampath, Gregory D. Plowman and Richard A.D. Carano and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Blood.

In The Last Decade

Michelle Nannini

34 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Michelle Nannini 763 620 369 226 159 35 1.5k
Enrica Audero 912 1.2× 377 0.6× 227 0.6× 117 0.5× 167 1.1× 21 1.7k
Dominique Lorang 913 1.2× 594 1.0× 515 1.4× 70 0.3× 189 1.2× 29 2.1k
Hui Qiao 595 0.8× 301 0.5× 146 0.4× 292 1.3× 91 0.6× 56 1.5k
Polina Sysa‐Shah 737 1.0× 461 0.7× 255 0.7× 73 0.3× 62 0.4× 26 1.7k
Lone Helboe 634 0.8× 494 0.8× 296 0.8× 69 0.3× 100 0.6× 42 1.7k
Mariarita Santi 876 1.1× 1.0k 1.6× 139 0.4× 218 1.0× 52 0.3× 42 2.1k
Shibani Mukherjee 829 1.1× 229 0.4× 364 1.0× 190 0.8× 136 0.9× 35 2.0k
Wei Jie 611 0.8× 305 0.5× 142 0.4× 118 0.5× 153 1.0× 56 1.3k
Kathryn Evans 544 0.7× 855 1.4× 301 0.8× 132 0.6× 100 0.6× 52 1.7k
Ran‐Sook Woo 921 1.2× 832 1.3× 259 0.7× 106 0.5× 79 0.5× 59 1.9k

Countries citing papers authored by Michelle Nannini

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Nannini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Nannini

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