Noélle D. Germain

597 citations
13 papers · 398 indexed · h-index 10
Topics
Genetic Syndromes and Imprinting (6 papers)Pluripotent Stem Cells Research (4 papers)Epigenetics and DNA Methylation (4 papers)
Partner nations
United StatesGermany

In The Last Decade

Noélle D. Germain

12 papers receiving 395 citations

Peers

Noélle D. Germain
Comparison fields: 5 of 50
  • Molecular Biology 326
  • Genetics 207
  • Cellular and Molecular Neuroscience 70
  • Developmental Neuroscience 65
  • Pediatrics, Perinatology and Child Health 56
Replace Carissa L. Sirois with:
Carissa L. Sirois United States
Marc A. Willaredt Germany
Isabelle Souville France
Magdi M. Sobeih United States
Ana Uzquiano France
Lynne M. Overman United States
Anne‐Claude Tabet France
Nilhan Gunhanlar Netherlands
Eva Wohlleber Germany
Wolfgang Hofmeister Sweden
Noélle D. Germain relative to Carissa L. Sirois United States Carissa L. Sirois's profile →
Citations per field
00.5×1.5×1.9×
Carissa L. Sirois · 1×
Citations per year

Countries citing papers authored by Noélle D. Germain

Since Specialization
Citations

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

Fields of papers citing papers by Noélle D. Germain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noélle D. Germain. 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 Noélle D. Germain. The network helps show where Noélle D. Germain may publish in the future.

Co-authorship network of co-authors of Noélle D. Germain

This figure shows the co-authorship network connecting the top 25 collaborators of Noélle D. Germain. A scholar is included among the top collaborators of Noélle D. Germain 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 Noélle D. Germain. Noélle D. Germain 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 0
2 31
3 12
4 27
5 2
6 46
7 79
8 24
9 3
10 75
11 50
12 16
13 33

About Noélle D. Germain

Noélle D. Germain is a scholar working on Developmental Neuroscience, Genetics and Genetics, having authored 13 papers that have together received 398 indexed citations. Recurring topics across this work include Genetic Syndromes and Imprinting (6 papers), Pluripotent Stem Cells Research (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Developmental Neuroscience (65 citations), Genetics (207 citations) and Molecular Biology (326 citations). Noélle D. Germain has collaborated with scholars based in United States and Germany. Frequent co-authors include Laura Grabel, Stormy J. Chamberlain, Eric S. Levine, Sandy Becker, Janice R. Naegele, Carissa L. Sirois, Wendy K. Chung, Patrick D. Sarmiere, Frank Rigo and Amanda J. Ward. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Human Molecular Genetics.

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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