Francesco Casimirri

39 papers receiving 2.5k citations

Peers

Francesco Casimirri
Comparison fields: 5 of 100
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Reproductive Medicine 1.1k
  • Public Health, Environmental and Occupational Health 744
  • Physiology 582
  • Endocrine and Autonomic Systems 332
Replace Per Mårin with:
Per Mårin Sweden
Cecilia Garcia Rudaz Australia
K Vondra Czechia
M Cacciari Italy
Susanne Tan Germany
Deborah Goodman‐Gruen United States
Jacqueline Imperial United States
James P. Gutai United States
Christopher R. McCartney United States
Timo Laatikainen Finland
Francesco Casimirri relative to Per Mårin Sweden Per Mårin's profile →
Citations per field
00.5×3.1×
Per Mårin · 1×
Citations per year

Countries citing papers authored by Francesco Casimirri

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Casimirri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Casimirri

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Casimirri. A scholar is included among the top collaborators of Francesco Casimirri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Francesco Casimirri. Francesco Casimirri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 66
2 128
3 8
4 50
5 51
6 64
7 102
8 25
9 105
10 86
11 95
12 302
13
Clinical aspects of ephedrine in the treatment of obesity.
14
14 276
15 42
16 15
17 45
18 333
19 36
20 14

About Francesco Casimirri

Francesco Casimirri is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 39 papers that have together received 2.7k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (14 papers), Ovarian function and disorders (13 papers) and Diet and metabolism studies (7 papers). The work is most often cited by research in Reproductive Medicine (1.1k citations), Endocrinology, Diabetes and Metabolism (1.3k citations) and Behavioral Neuroscience (269 citations). Francesco Casimirri has collaborated with scholars based in Italy and United States. Frequent co-authors include Renato Pasquali, R. Pasquali, Valentina Vicennati, Antonio Maria Morselli Labate, Stefania Cantobelli, Raffaella Fabbri, R Flamia, Stefano Venturoli, Giovanni Capelli and N. Melchionda. Their work appears in journals such as American Journal of Clinical Nutrition, The Journal of Clinical Endocrinology & Metabolism and International Journal of Obesity.

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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