Matteo A. Molè

1.1k citations
13 papers · 633 indexed · 1 hit paper · h-index 11
Topics
Pluripotent Stem Cells Research (5 papers)Wnt/β-catenin signaling in development and cancer (5 papers)Developmental Biology and Gene Regulation (3 papers)

In The Last Decade

Matteo A. Molè

13 papers receiving 630 citations

Hit Papers

Modelling the impact of decidual senescence on embryo imp...2021202620222024202150100150

Peers

Matteo A. Molè
Comparison fields: 5 of 69
  • Molecular Biology 357
  • Cell Biology 140
  • Immunology 127
  • Public Health, Environmental and Occupational Health 96
  • Reproductive Medicine 95
Replace Liani Devito with:
Liani Devito United Kingdom
Kouji Komatsu Japan
Ivan Bedzhov Germany
Chizuru Iwatani Japan
Antonia Weberling United Kingdom
Othman A. Mohamed Canada
Xiaomin Du China
Susanne van den Brink Netherlands
Ludmila Ruban United Kingdom
Valerie R. Prideaux Canada
Matteo A. Molè relative to Liani Devito United Kingdom Liani Devito's profile →
Citations per field
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Liani Devito · 1×
Citations per year

Countries citing papers authored by Matteo A. Molè

Since Specialization
Citations

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

Fields of papers citing papers by Matteo A. Molè

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matteo A. Molè. 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 Matteo A. Molè. The network helps show where Matteo A. Molè may publish in the future.

Co-authorship network of co-authors of Matteo A. Molè

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo A. Molè. A scholar is included among the top collaborators of Matteo A. Molè 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 Matteo A. Molè. Matteo A. Molè is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 2
2 27
3 75
4 15
5
Modelling the impact of decidual senescence on embryo implantation in human endometrial assembloidsbreakdown →
156
6 8
7 40
8 71
9 35
10 77
11 60
12 57
13 10

About Matteo A. Molè

Matteo A. Molè is a scholar working on Transplantation, Developmental Neuroscience and Cell Biology, having authored 13 papers that have together received 633 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (5 papers), Wnt/β-catenin signaling in development and cancer (5 papers) and Developmental Biology and Gene Regulation (3 papers). The work is most often cited by research in Reproductive Medicine (95 citations), Developmental Neuroscience (42 citations) and Obstetrics and Gynecology (71 citations). Matteo A. Molè has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Magdalena Zernicka‐Goetz, Antonia Weberling, Andrew J. Copp, Dawn Savery, Nicholas D. E. Greene, Ana Rolo, Gabriel L. Galea, Geraldine Hartshorne, Joshua Odendaal and Katherine Fishwick. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Developmental Cell.

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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