Roberta Poli

652 citations
10 papers · 518 · h-index 8

Impact in

Papers in

    • Histone Deacetylase Inhibitors Research 5
    • Ubiquitin and proteasome pathways 2
    • Protein Tyrosine Phosphatases 1
    • Peptidase Inhibition and Analysis 4

Roberta Poli

9 papers receiving 514 citations

Peers

Roberta Poli
Comparison fields: 5 of 57
  • Endocrinology, Diabetes and Metabolism 195
  • Oncology 138
  • Molecular Biology 335
  • Genetics 24
  • Reproductive Medicine 17
Replace Hiroko Misawa with:
Hiroko Misawa Japan
Hiroyuki Ishiguro Japan
Dunyong Tan United States
Carey Welsh United States
Jacques-Pierre Moreau France
Joanna Waligórska‐Stachura Poland
P Birman France
Richard A.D. Rutherford United Kingdom
H Jahr Germany
Chiaoyun Benson Kuo United States
Roberta Poli relative to Hiroko Misawa Japan Hiroko Misawa's profile →
Citations per field
00.5×
Hiroko Misawa · 1×
Citations per year

Countries citing papers authored by Roberta Poli

Since Specialization
Citations

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

Fields of papers citing papers by Roberta Poli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Roberta Poli, 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 Poli Line = papers co-authored together Roberta Poli links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2006110
2 2005105
3 202193
4 200773
5 201150
6 201236
7 201033
8 202017
9 20191
10 20250

About Roberta Poli

Roberta Poli is a scholar working on Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism, Organic Chemistry and Pharmacology, having authored 10 papers that have together received 518 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (5 papers), Peptidase Inhibition and Analysis (4 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Ubiquitin and proteasome pathways (2 papers), Cancer Genomics and Diagnostics (1 paper), Apelin-related biomedical research (1 paper), Galectins and Cancer Biology (1 paper) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (195 citations), Oncology (138 citations), Molecular Biology (335 citations), Genetics (24 citations) and Reproductive Medicine (17 citations). Roberta Poli has collaborated with scholars based in Italy, Switzerland and France. Frequent co-authors include Nicoletta Fortunati, Maria Graziella Catalano, Giuseppe Boccuzzi, Mariateresa Pugliese, Ornella Bosco, Raffaella Mastrocola, Manuela Aragno, Soraya Puglisi, Alessandro Rossini and Massimo Terzolo. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Clinical Oncology, Frontiers in Endocrinology, International Journal of Environmental Research and Public Health and Molecular Aspects of Medicine.

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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