Michael F. Cicirelli

859 citations
11 papers · 776 indexed · h-index 11

Michael F. Cicirelli

11 papers receiving 757 citations

Peers

Michael F. Cicirelli
Comparison fields: 5 of 76
  • Aging 61
  • Reproductive Medicine 94
  • Physiology 42
  • Cell Biology 137
  • Molecular Biology 533
Replace Nathalie Grandin with:
Nathalie Grandin France
Michèle Weber France
Joshua E. Cottom United States
Katherine Le Guellec France
Andrej Šušor Czechia
Douglas L. Pittman United States
Olivier Haccard France
Matthew J. Wishart United States
Nobushige Nakajo Japan
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Michael F. Cicirelli relative to Nathalie Grandin France Nathalie Grandin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael F. Cicirelli

Since Specialization
Citations

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

Fields of papers citing papers by Michael F. Cicirelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael F. Cicirelli. 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 Michael F. Cicirelli. The network helps show where Michael F. Cicirelli may publish in the future.

Co-authorship network

The 14 scholars most cited alongside Michael F. Cicirelli, 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 Michael F. Cicirelli Line = papers co-authored together Michael F. Cicirelli links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1991129
2 199090
3 1990133
4 198821
5 1988164
6 198726
7 198757
8 198611
9 198511
10 198569
11 198365

About Michael F. Cicirelli

Michael F. Cicirelli is a scholar working on Aging, Physiology, Public Health, Environmental and Occupational Health, Pharmaceutical Science and Health, Toxicology and Mutagenesis, having authored 11 papers that have together received 776 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (5 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Reproductive biology and impacts on aquatic species (2 papers), Animal Genetics and Reproduction (2 papers), Environmental Toxicology and Ecotoxicology (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper), Protein Structure and Dynamics (1 paper) and Physiological and biochemical adaptations (1 paper). The work is most often cited by research in Aging (61 citations), Reproductive Medicine (94 citations), Physiology (42 citations), Cell Biology (137 citations) and Molecular Biology (533 citations). Michael F. Cicirelli has collaborated with scholars based in United States. Frequent co-authors include E G Krebs, L.Dennis Smith, Steven Pelech, Edmond H. Fischer, Nicholas K. Tonks, C D Diltz, Edwin G. Krebs, James E. Weiel, Kenneth R. Robinson and R. John Cork. Their work appears in journals such as Developmental Biology, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Development Growth & Differentiation and FEBS Letters.

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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