Michelle Nannini

3.6k citations
35 papers · 1.6k indexed · h-index 19
Topics
PI3K/AKT/mTOR signaling in cancer (9 papers)Neurotransmitter Receptor Influence on Behavior (5 papers)Stress Responses and Cortisol (4 papers)

In The Last Decade

Michelle Nannini

34 papers receiving 1.5k citations

Peers

Michelle Nannini
Comparison fields: 5 of 90
  • Molecular Biology 763
  • Cellular and Molecular Neuroscience 620
  • Oncology 370
  • Behavioral Neuroscience 226
  • Cancer Research 161
Replace Donald Pizzo with:
Donald Pizzo United States
Jan‐Hermen Dannenberg Netherlands
Shangfeng Gao China
Andrea Levi Italy
Dietrich Trümbach Germany
Kostantin Dobrenis United States
Edward D. Plowey United States
Myriam Catalano Italy
Stephanie R. Ebner United States
Jerry P. Melchor United States
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Citations per field
00.5×3.6×
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Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 5
2 56
3 11
4 27
5 6
6 43
7 20
8 12
9 61
10 47
11 4
12 93
13 175
14 190
15 64
16 81
17 13
18 42
19 30
20 33

About Michelle Nannini

Michelle Nannini is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Geriatrics and Gerontology, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (9 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Stress Responses and Cortisol (4 papers). The work is most often cited by research in Behavioral Neuroscience (226 citations), Cellular and Molecular Neuroscience (620 citations) and Biological Psychiatry (53 citations). Michelle Nannini has collaborated with scholars based in United States, France and Switzerland. Frequent 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 Vidusha Devasthali. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Blood.

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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