M. d’Istria

50 papers receiving 914 citations

Peers

M. d’Istria
Comparison fields: 5 of 93
  • Physiology 131
  • Endocrine and Autonomic Systems 170
  • Reproductive Medicine 210
  • Cellular and Molecular Neuroscience 203
  • Endocrinology, Diabetes and Metabolism 179
Replace Hyuk Bang Kwon with:
Hyuk Bang Kwon South Korea
Jeffrey I. Goldberg Canada
Loredana Di Matteo Italy
Minoru Takase Japan
G. Chieffi Italy
M. Di Meglio Italy
Dante A. Paz Argentina
Lis Olesen Larsen Denmark
Angela Schulz Germany
Virgilio Botte Italy
M. d’Istria relative to Hyuk Bang Kwon South Korea Hyuk Bang Kwon's profile →
Citations per field
00.5×1.5×1.9×
Hyuk Bang Kwon · 1×
Citations per year

Countries citing papers authored by M. d’Istria

Since Specialization
Citations

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

Fields of papers citing papers by M. d’Istria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. d’Istria. 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 M. d’Istria. The network helps show where M. d’Istria may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Radioimmunoassay of testosterone, 17beta-oestradiol and oestrone in the male and female plasma of plasma of Rana esculenta during sexual cycle.
1974109
2 198483
3 199674
4 198848
5 200046
6 198138
7 201037
8 199429
9 199328
10
The harderian gland of the frog, Rana esculenta, during the annual cycle: histology, histochemistry and ultrastructure.
198928
11 197325
12 199124
13 199024
14 198624
15 198623
16 200822
17 200322
18 200321
19 200317
20 197517

About M. d’Istria

M. d’Istria is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Molecular Biology, having authored 50 papers that have together received 980 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (15 papers), Circadian rhythm and melatonin (12 papers), Hormonal and reproductive studies (9 papers), Amphibian and Reptile Biology (8 papers), Reproductive biology and impacts on aquatic species (6 papers), Animal Behavior and Reproduction (6 papers), Sperm and Testicular Function (6 papers) and Estrogen and related hormone effects (6 papers). The work is most often cited by research in Physiology (131 citations), Endocrine and Autonomic Systems (170 citations), Reproductive Medicine (210 citations), Cellular and Molecular Neuroscience (203 citations) and Endocrinology, Diabetes and Metabolism (179 citations). M. d’Istria has collaborated with scholars based in Italy. Frequent co-authors include G. Delrio, Sergio Minucci, G. Chieffi, Ismene Serino, Palmiero Monteleone, Gaia Izzo, Loredana Di Matteo, Bruno Varriale, Silvia Fasano and Gabriella Chieffi Baccari. Their work appears in journals such as General and Comparative Endocrinology, Cellular and Molecular Life Sciences, Journal of Endocrinology, Journal of Experimental Zoology Part A Ecological Genetics and Physiology 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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