Alessandra Pasut

20 papers receiving 2.6k citations

Alessandra Pasut's Hit Papers

COVID-19: the vasculature unleashed 2020 · 740 citations
7400+3+6Years since publication200400600

Peers

Alessandra Pasut
Comparison fields: 5 of 112
  • Cancer Research 516
  • Aging 60
  • Infectious Diseases 534
  • Molecular Biology 1.7k
  • Neurology 351
Replace Takayuki Shiomi with:
Takayuki Shiomi Japan
Yasushi Kitaura Japan
Sunita Bhattacharya United States
Junfen Fan China
Alexandra Leopoldi Austria
Mohammad Naimul Islam United States
Tovo David United States
Filippo Oliveri Italy
Christian Bär Germany
Tsukasa Ohmori Japan
Alessandra Pasut relative to Takayuki Shiomi Japan Takayuki Shiomi's profile →
Citations per field
00.5×6.9×
Takayuki Shiomi · 1×
Citations per year

Countries citing papers authored by Alessandra Pasut

Since Specialization
Citations

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

Fields of papers citing papers by Alessandra Pasut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
COVID-19: the vasculature unleashed
Hit paper breakdown →
2020740
2
mTORC1 and muscle regeneration are regulated by the LINC00961-encoded SPAR polypeptide
Hit paper breakdown →
2016489
3 2015411
4 2013234
5 2011174
6 2013132
7 201180
8 202164
9 201349
10 201047
11 201640
12 202032
13 202027
14 201621
15 200920
16 202011
17 20089
18 20259
19 20254
20 20074

About Alessandra Pasut

Alessandra Pasut is a scholar working on Molecular Biology, Surgery, Genetics, Cancer Research and Physiology, having authored 20 papers that have together received 2.6k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (12 papers), Tissue Engineering and Regenerative Medicine (7 papers), Mesenchymal stem cell research (3 papers), RNA Research and Splicing (2 papers), Cancer-related molecular mechanisms research (2 papers), Adipose Tissue and Metabolism (2 papers), Neurogenetic and Muscular Disorders Research (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Cancer Research (516 citations), Aging (60 citations), Infectious Diseases (534 citations), Molecular Biology (1.7k citations) and Neurology (351 citations). Alessandra Pasut has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Peter Carmeliet, Vincent Geldhof, Laure-Anne Teuwen, Michael A. Rudnicki, C. Florian Bentzinger, Julia von Maltzahn, Caroline Brun, Nicolas A. Dumont, Yu Xin Wang and Akinobu Matsumoto. Their work appears in journals such as Nature reviews. Immunology, Journal of Visualized Experiments, Cell Metabolism, Nature Medicine and Journal of Surgical Research.

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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