Angela Picerno

412 citations
21 papers · 251 · h-index 10

Impact in

  • Nephrology top 5%
    • Renal Diseases and Glomerulopathies
    • Acute Kidney Injury Research
    • Chronic Kidney Disease and Diabetes

Papers in

    • Renal and related cancers 4
    • Pluripotent Stem Cells Research 3
    • Biomarkers in Disease Mechanisms 2
    • Immune cells in cancer 2

Angela Picerno

19 papers receiving 247 citations

Peers

Angela Picerno
Comparison fields: 5 of 77
  • Nephrology 95
  • Aging 4
  • Immunology 43
  • Genetics 18
  • Gastroenterology 9
Replace Sonia Nogueras with:
Sonia Nogueras Spain
Taro Misaki Japan
Yoshie Sasatomi Japan
Tasanee Kitumnuaypong Thailand
Paola Frallonardo Italy
Dragoş Viorel Scripcariu Romania
Yutaka Tsubata Japan
Ayşim Özağarı Türkiye
Mauro Sérgio Martins Marrocos Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Angela Picerno

Since Specialization
Citations

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

Fields of papers citing papers by Angela Picerno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202058
2 201938
3 202124
4 202118
5 202116
6 202013
7 202112
8 202210
9 20219
10 20219
11 20219
12 20238
13 20237
14 20237
15 20235
16 20214
17 20222
18 20251
19 20211
20 20240

About Angela Picerno

Angela Picerno is a scholar working on Molecular Biology, Immunology, Nephrology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 21 papers that have together received 251 indexed citations. Recurring topics across this work include Renal and related cancers (4 papers), Renal Diseases and Glomerulopathies (4 papers), Renal cell carcinoma treatment (3 papers), Pluripotent Stem Cells Research (3 papers), Biomarkers in Disease Mechanisms (2 papers), Immune cells in cancer (2 papers), Telomeres, Telomerase, and Senescence (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Nephrology (95 citations), Aging (4 citations), Immunology (43 citations), Genetics (18 citations) and Gastroenterology (9 citations). Angela Picerno has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Fabio Sallustio, Loreto Gesualdo, Claudia Curci, Anna Gallone, Alessandra Stasi, Rossana Franzin, Chiara Divella, Giovanni Pertosa, Vincenzo Di Leo and Giuseppe Castellano. Their work appears in journals such as International Journal of Molecular Sciences, Frontiers in Immunology, Nephrology Dialysis Transplantation, World Journal of Stem Cells and Cells.

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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