C. Secchi

42 papers receiving 350 citations

Peers

C. Secchi
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 119
  • Agronomy and Crop Science 59
  • Equine 9
  • Reproductive Medicine 40
  • Animal Science and Zoology 32
Replace K. E. Kendle with:
K. E. Kendle United Kingdom
Thea Fletcher Canada
A. Coert Netherlands
Sally M. Howard United States
Shuenn Liou United States
Isabel R. Hendry United States
Robert L. Kroc United States
Basudev Shome United States
O P Bahl United States
Ryohei Okamoto Japan
C. Secchi relative to K. E. Kendle United Kingdom K. E. Kendle's profile →
Citations per field
00.5×
K. E. Kendle · 1×
Citations per year

Countries citing papers authored by C. Secchi

Since Specialization
Citations

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

Fields of papers citing papers by C. Secchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200736
2 200930
3 198824
4 198622
5
GLC determination of nifedipine, a light sensitive drug, in plasma.
197919
6 200718
7 197618
8 199415
9 197615
10 199614
11 199613
12 199112
13 199111
14 197710
15 199310
16 19789
17 19998
18 19838
19 19848
20 20086

About C. Secchi

C. Secchi is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Agronomy and Crop Science, Radiology, Nuclear Medicine and Imaging and Equine, having authored 42 papers that have together received 376 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (16 papers), Reproductive Physiology in Livestock (9 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Veterinary Equine Medical Research (5 papers), Reproductive Biology and Fertility (4 papers), Analytical Chemistry and Chromatography (3 papers), Effects of Environmental Stressors on Livestock (3 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (119 citations), Agronomy and Crop Science (59 citations), Equine (9 citations), Reproductive Medicine (40 citations) and Animal Science and Zoology (32 citations). C. Secchi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include V. Borromeo, A. Berrini, Pier Antonio Biondi, Silvia Ronchi, F. Crémonesi, Tatjana Simonic, Tiziana Civera, Alessandra Dalmasso, A. E. Panerai and Enrico Fontanella. Their work appears in journals such as Veterinary Research Communications, Theriogenology, Journal of Immunological Methods, Journal of High Resolution Chromatography and Veterinary Immunology and Immunopathology.

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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