Patrizia Abrusci

926 citations
11 papers · 632 indexed · h-index 9
Topics
Bacterial Genetics and Biotechnology (5 papers)Bacteriophages and microbial interactions (4 papers)Erythrocyte Function and Pathophysiology (3 papers)

In The Last Decade

Patrizia Abrusci

11 papers receiving 628 citations

Peers

Patrizia Abrusci
Comparison fields: 5 of 73
  • Genetics 341
  • Molecular Biology 272
  • Endocrinology 252
  • Ecology 152
  • Molecular Medicine 55
Replace Debnath Ghosal with:
Debnath Ghosal United States
Chuan Hong United States
Miki Kinoshita Japan
Koushik Paul United States
Ricksen S. Winardhi Singapore
Desirée Böck Switzerland
Sergey Nazarov Switzerland
Fang Lu China
Jeanine de Keyzer Netherlands
Musa Sani Netherlands
Patrizia Abrusci relative to Debnath Ghosal United States Debnath Ghosal's profile →
Citations per field
00.5×1.5×2.1×
Debnath Ghosal · 1×
Citations per year

Countries citing papers authored by Patrizia Abrusci

Since Specialization
Citations

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

Fields of papers citing papers by Patrizia Abrusci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrizia Abrusci

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 4
2 41
3 126
4 55
5 42
6 171
7 84
8 76
9 10
10 17
11
Two new mutations of the P5'N-1 gene found in Italian patients with hereditary hemolytic anemia: the molecular basis of the red cell enzyme disorder.
6

About Patrizia Abrusci

Patrizia Abrusci is a scholar working on Endocrinology, Genetics and Molecular Medicine, having authored 11 papers that have together received 632 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Bacteriophages and microbial interactions (4 papers) and Erythrocyte Function and Pathophysiology (3 papers). The work is most often cited by research in Endocrinology (252 citations), Structural Biology (45 citations) and Genetics (341 citations). Patrizia Abrusci has collaborated with scholars based in United Kingdom, Germany and Austria. Frequent co-authors include Susan M. Lea, Steven Johnson, Janet E. Deane, Lucas Kuhlen, Justin C. Deme, Miriam E. Friede, Christoph M. Tang, Pietro Roversi, Morgan Beeby and Grant J. Jensen. Their work appears in journals such as Trends in Biochemical Sciences, Nature Structural & Molecular Biology and Cellular and Molecular Life Sciences.

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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