G. Chieffi

91 papers receiving 1.5k citations

Peers

G. Chieffi
Comparison fields: 5 of 91
  • Physiology 577
  • Reproductive Medicine 416
  • Aquatic Science 203
  • Ecology, Evolution, Behavior and Systematics 336
  • Global and Planetary Change 362
Replace Virgilio Botte with:
Virgilio Botte Italy
Rakesh K. Rastogi Italy
Loredana Di Matteo Italy
L. Iela Italy
P. G. W. J. van Oordt Netherlands
Kaoru Kubokawa Japan
Francesco Angelini Italy
Piero Andreuccetti Italy
Charles S. Nicoll United States
Judy A. King South Africa
G. Chieffi relative to Virgilio Botte Italy Virgilio Botte's profile →
Citations per field
00.5×1.5×1.9×
Virgilio Botte · 1×
Citations per year

Countries citing papers authored by G. Chieffi

Since Specialization
Citations

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

Fields of papers citing papers by G. Chieffi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1976123
2
Radioimmunoassay of testosterone, 17beta-oestradiol and oestrone in the male and female plasma of plasma of Rana esculenta during sexual cycle.
1974109
3 200866
4 198366
5 198663
6 198461
7 197857
8 197546
9 196540
10 198635
11 196133
12 198830
13 199429
14
The harderian gland of the frog, Rana esculenta, during the annual cycle: histology, histochemistry and ultrastructure.
198928
15 197527
16 196327
17 197125
18 195925
19 198924
20 199124

About G. Chieffi

G. Chieffi is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Global and Planetary Change and Ecology, having authored 96 papers that have together received 1.6k indexed citations. Recurring topics across this work include Reproductive biology and impacts on aquatic species (37 papers), Hormonal and reproductive studies (19 papers), Amphibian and Reptile Biology (18 papers), Neurobiology and Insect Physiology Research (17 papers), Physiological and biochemical adaptations (16 papers), Aquaculture Nutrition and Growth (16 papers), Animal Behavior and Reproduction (13 papers) and Sperm and Testicular Function (11 papers). The work is most often cited by research in Physiology (577 citations), Reproductive Medicine (416 citations), Aquatic Science (203 citations), Ecology, Evolution, Behavior and Systematics (336 citations) and Global and Planetary Change (362 citations). G. Chieffi has collaborated with scholars based in Italy and United Kingdom. Frequent co-authors include Rakesh K. Rastogi, Sergio Minucci, G. Delrio, Loredana Di Matteo, L. Iela, Virgilio Botte, M. d’Istria, Riccardo Pierantoni, Bruno Varriale and Silvia Fasano. Their work appears in journals such as General and Comparative Endocrinology, Journal of Endocrinology, Nature, Cellular and Molecular Life Sciences and Cell and Tissue 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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