F O Ranelletti

24 papers receiving 517 citations

Peers

F O Ranelletti
Comparison fields: 5 of 80
  • Biochemistry 83
  • Toxicology 24
  • Applied Microbiology and Biotechnology 10
  • Genetics 105
  • Hematology 40
Replace Kazuhiko Kaji with:
Kazuhiko Kaji Japan
Young-Sam Keum United States
Haiming Ding United States
Michitaka Numoto Japan
Ping‐Ping H. Lee United States
Dong Yeok Shin South Korea
Maria Meli Italy
Man Sub Kim South Korea
Marina Orlandi Italy
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Citations per field
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Citations per year

Countries citing papers authored by F O Ranelletti

Since Specialization
Citations

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

Fields of papers citing papers by F O Ranelletti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F O Ranelletti. 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 F O Ranelletti. The network helps show where F O Ranelletti may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991111
2 199062
3 199351
4 200549
5 199141
6 199440
7
Expression of p15INK4B in normal hematopoiesis.
199824
8 198123
9 198621
10 198719
11
Estrogen binding sites in peripheral blood mononuclear cells and thymocytes from 2 myasthenia gravis patients.
198618
12 200116
13 198514
14 198313
15
Human thymoma lymphocyte mitogenesis: glucocorticoid inhibitory capacity as a function of the size of the more mature T cell subset.
19839
16 20008
17 19787
18 19816
19
Expression of 20 alpha-hydroxysteroid dehydrogenase activity in human lymphoid and non lymphoid cells.
19864
20 19804

About F O Ranelletti

F O Ranelletti is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Genetics, Immunology and Neurology, having authored 25 papers that have together received 550 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Retinoids in leukemia and cellular processes (3 papers), Adrenal Hormones and Disorders (3 papers), Acute Myeloid Leukemia Research (3 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Neuroblastoma Research and Treatments (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Biochemistry (83 citations), Toxicology (24 citations), Applied Microbiology and Biotechnology (10 citations), Genetics (105 citations) and Hematology (40 citations). F O Ranelletti has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Mauro Piantelli, Giovanni Scambia, Luigi Maria Larocca, Stefano Mancuso, Giambattista Bonanno, Gabriella Ferrandina, Rosa De Vincenzo, P. Benedetti Panici, N Maggiano and Luca Pierelli. Their work appears in journals such as The Journal of Immunology, International Journal of Cancer, Cancer Chemotherapy and Pharmacology, Experimental Hematology and Journal of Cellular Physiology.

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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