Ml Panno

1.1k citations
25 papers · 881 · h-index 17

Impact in

    • Sperm and Testicular Function
  • Genetics top 5%
    • Estrogen and related hormone effects
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities

Papers in

Ml Panno

25 papers receiving 854 citations

Peers

Ml Panno
Comparison fields: 5 of 81
  • Reproductive Medicine 184
  • Genetics 363
  • Physiology 51
  • Endocrinology, Diabetes and Metabolism 145
  • Toxicology 24
Replace Gary Rubin with:
Gary Rubin Australia
M. Perrot-Applanat France
Karen E. Weis United States
Tomas Barkhem Sweden
M. Pons� France
Diane M. Klotz United States
Hosea F. S. Huang United States
Brad Saville United States
Nadège Servant France
H.J. Kloosterboer Netherlands
Ml Panno relative to Gary Rubin Australia Gary Rubin's profile →
Citations per field
00.5×1.6×
Gary Rubin · 1×
Citations per year

Countries citing papers authored by Ml Panno

Since Specialization
Citations

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

Fields of papers citing papers by Ml Panno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Estrogen receptor alpha mediates the proliferative but not the cytotoxic dose-dependent effects of two major phytoestrogens on human breast cancer cells.
2001171
2 2002118
3 200954
4 201250
5 199649
6 199642
7 199242
8 201239
9 198438
10 199432
11 200932
12 198330
13 199027
14 200123
15 200622
16 199620
17 199518
18 198416
19 199616
20 198912

About Ml Panno

Ml Panno is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Reproductive Medicine and Oncology, having authored 25 papers that have together received 881 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (13 papers), Estrogen and related hormone effects (9 papers), Sperm and Testicular Function (8 papers), Ovarian function and disorders (4 papers), Sexual Differentiation and Disorders (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Amphibian and Reptile Biology (3 papers). The work is most often cited by research in Reproductive Medicine (184 citations), Genetics (363 citations), Physiology (51 citations), Endocrinology, Diabetes and Metabolism (145 citations) and Toxicology (24 citations). Ml Panno has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Marcello Maggiolini, Sebastiano Andò, Marilena Lanzino, Diego Sisci, Francesca De Amicis, Eliana Beraldi, Stefania Marsico, Vittoria Rago, Bruno Cenni and Didier Picard. Their work appears in journals such as Journal of Endocrinology, European Journal of Endocrinology, Experimental and Clinical Endocrinology & Diabetes, Breast Cancer Research and Treatment and Reproduction.

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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