Paolo Chieffi

108 papers receiving 3.1k citations

Peers

Paolo Chieffi
Comparison fields: 5 of 109
  • Reproductive Medicine 531
  • Physiology 185
  • Cell Biology 499
  • Neurology 366
  • Cancer Research 343
Replace Gabriel E. DiMattia with:
Gabriel E. DiMattia Canada
Pellegrino Rossi Italy
Ira Daar United States
Maria Paola Paronetto Italy
Enrico Moro Italy
Anne Gansmüller France
M. Graziella Persico Italy
Carla Rosenberg Brazil
Véronique Paquis‐Flucklinger France
Branko Zevnik Germany
Paolo Chieffi relative to Gabriel E. DiMattia Canada Gabriel E. DiMattia's profile →
Citations per field
00.5×8.1×
Gabriel E. DiMattia · 1×
Citations per year

Countries citing papers authored by Paolo Chieffi

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Chieffi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005168
2 2005123
3 2001100
4 200597
5 200294
6 200382
7 201182
8 201377
9 200477
10 201177
11 201972
12 200866
13 200666
14 201065
15 201164
16
17 beta-estradiol effects on mast cell number and spermatogonial mitotic index in the testis of the frog, Rana esculenta.
199762
17 200860
18 200755
19 200255
20 201355

About Paolo Chieffi

Paolo Chieffi is a scholar working on Molecular Biology, Surgery, Genetics, Reproductive Medicine and Pulmonary and Respiratory Medicine, having authored 111 papers that have together received 3.3k indexed citations. Recurring topics across this work include Testicular diseases and treatments (31 papers), Sperm and Testicular Function (19 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (17 papers), Neuroblastoma Research and Treatments (16 papers), Reproductive biology and impacts on aquatic species (16 papers), Sarcoma Diagnosis and Treatment (13 papers), Genomics and Chromatin Dynamics (11 papers) and Microtubule and mitosis dynamics (10 papers). The work is most often cited by research in Reproductive Medicine (531 citations), Physiology (185 citations), Cell Biology (499 citations), Neurology (366 citations) and Cancer Research (343 citations). Paolo Chieffi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Renato Franco, Donatella Tramontano, Giuseppe Portella, Alfredo Fusco, Francesco Esposito, Stefania Staibano, Sergio Minucci, Monica Fedele, Silvana Libertini and Sergio Chieffi. Their work appears in journals such as Journal of Cellular Physiology, General and Comparative Endocrinology, The Journal of Pathology, Cell Cycle and Oncogene.

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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