Pamela Milani

2.1k citations
22 papers · 936 indexed · h-index 16
Topics
Amyotrophic Lateral Sclerosis Research (10 papers)Neurogenetic and Muscular Disorders Research (6 papers)Bioinformatics and Genomic Networks (3 papers)

In The Last Decade

Pamela Milani

21 papers receiving 914 citations

Peers

Pamela Milani
Comparison fields: 5 of 114
  • Molecular Biology 650
  • Neurology 151
  • Cancer Research 111
  • Genetics 83
  • Physiology 64
Replace Shinya Tokuhiro with:
Shinya Tokuhiro Japan
Steve P. Gygi United States
Zhiping Wu United States
Adrian T. Saurin United Kingdom
Lucas A. Maddalena Canada
Ana Isabel Hernández Spain
Hiroshi Maita Japan
Nir Arbel Israel
Sara Stigliani Italy
Federica Morani Italy
Pamela Milani relative to Shinya Tokuhiro Japan Shinya Tokuhiro's profile →
Citations per field
00.5×3.1×
Shinya Tokuhiro · 1×
Citations per year

Countries citing papers authored by Pamela Milani

Since Specialization
Citations

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

Fields of papers citing papers by Pamela Milani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela Milani

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 35
3 61
4 5
5 25
6
Cell freezing protocol suitable for ATAC-Seq on motor neurons derived from human induced pluripotent stem cells
35
7 123
8 2
9 24
10 175
11 30
12 72
13 38
14 26
15 30
16 95
17 14
18 10
19 100
20 16

About Pamela Milani

Pamela Milani is a scholar working on Neurology, Genetics and Clinical Biochemistry, having authored 22 papers that have together received 936 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (10 papers), Neurogenetic and Muscular Disorders Research (6 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Aging (20 citations), Neurology (151 citations) and Molecular Biology (650 citations). Pamela Milani has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Cristina Cereda, Ernest Fraenkel, Stella Gagliardi, Emanuela Cova, Miriam Adam, Giulia Ambrosi, Fabio Blandini, Omar Gammoh, Forest M. White and Clary B. Clish. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

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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