Roberta Minotti

971 citations
8 papers · 799 · h-index 7

Impact in

Papers in

    • Inflammasome and immune disorders 2
    • Receptor Mechanisms and Signaling 1
    • Estrogen and related hormone effects 4

Roberta Minotti

8 papers receiving 790 citations

Peers

Roberta Minotti
Comparison fields: 5 of 81
  • Endocrinology, Diabetes and Metabolism 293
  • Genetics 369
  • Behavioral Neuroscience 13
  • Molecular Biology 253
  • Oncology 92
Replace Geetanjali Sharma with:
Geetanjali Sharma United States
Andrei I. Oprescu Canada
Nicole A. Marjon United States
Fiona O’Mahony Ireland
Patrick J. Flannery United States
Amanda M. Ackermann United States
Nadia Cobo‐Vuilleumier Spain
Frank Ulrich Beil Germany
Liora S. Katz United States
Weihui Yu China
Roberta Minotti relative to Geetanjali Sharma United States Geetanjali Sharma's profile →
Citations per field
00.5×1.5×2.0×
Geetanjali Sharma · 1×
Citations per year

Countries citing papers authored by Roberta Minotti

Since Specialization
Citations

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

Fields of papers citing papers by Roberta Minotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Roberta Minotti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Roberta Minotti Line = papers co-authored together Roberta Minotti links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2009322
2 2007137
3 2012129
4 200784
5 200657
6 200539
7 201529
8 20072

About Roberta Minotti

Roberta Minotti is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Oncology and Surgery, having authored 8 papers that have together received 799 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), Menopause: Health Impacts and Treatments (3 papers), Inflammasome and immune disorders (2 papers), PARP inhibition in cancer therapy (2 papers), NF-κB Signaling Pathways (1 paper), Nitric Oxide and Endothelin Effects (1 paper), Receptor Mechanisms and Signaling (1 paper) and Hormonal and reproductive studies (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (293 citations), Genetics (369 citations), Behavioral Neuroscience (13 citations), Molecular Biology (253 citations) and Oncology (92 citations). Roberta Minotti has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Matthias Barton, Indranil Bhattacharya, Elvira Haas, Michele Genoni, Matthias R. Meyer, Michael O. Hottiger, Eric R. Prossnitz, Nae J. Dun, Eugen Brailoiu and Kerstin Amann. Their work appears in journals such as Hypertension, Molecular and Cellular Biology, Circulation Research, Circulation and Cardiovascular Research.

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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