Sal Giglia

452 citations
20 papers · 354 indexed · h-index 12
Topics
Membrane Separation Technologies (12 papers)Virus-based gene therapy research (5 papers)Bacteriophages and microbial interactions (4 papers)

In The Last Decade

Sal Giglia

20 papers receiving 340 citations

Peers

Sal Giglia
Comparison fields: 5 of 66
  • Water Science and Technology 176
  • Biomedical Engineering 167
  • Molecular Biology 99
  • Infectious Diseases 57
  • Genetics 48
Replace Christina Carbrello with:
Christina Carbrello United States
David L. Grzenia United States
Daniel LaCasse United States
Ralf Kuriyel United States
Irwin A. Eydelnant Canada
Simon Gustafsson Sweden
Chia-Chi Ho Taiwan
Ashwin Ramachandran United States
Yixue Wang China
Anthony E. Allegrezza United States
Sal Giglia relative to Christina Carbrello United States Christina Carbrello's profile →
Citations per field
00.5×1.5×
Christina Carbrello · 1×
Citations per year

Countries citing papers authored by Sal Giglia

Since Specialization
Citations

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

Fields of papers citing papers by Sal Giglia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sal Giglia

This figure shows the co-authorship network connecting the top 25 collaborators of Sal Giglia. A scholar is included among the top collaborators of Sal Giglia 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 Sal Giglia. Sal Giglia 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 3
2 1
3 3
4 8
5 1
6 23
7 17
8 6
9 50
10 15
11 24
12 35
13 42
14 3
15 32
16 1
17 36
18 12
19 28
20
Scaling from discs to pleated devices.
14

About Sal Giglia

Sal Giglia is a scholar working on Water Science and Technology, Infectious Diseases and Biomedical Engineering, having authored 20 papers that have together received 354 indexed citations. Recurring topics across this work include Membrane Separation Technologies (12 papers), Virus-based gene therapy research (5 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Water Science and Technology (176 citations), Biomedical Engineering (167 citations) and Infectious Diseases (57 citations). Sal Giglia has collaborated with scholars based in United States, Romania and South Korea. Frequent co-authors include Christina Carbrello, Andrew L. Zydney, David C. Bell, Paul C. Millett, Xianghong Qian, David M. Ford, Dayue Chen, Sean O’Donnell, Hadi Nazem‐Bokaee and Corinne H. Miller. Their work appears in journals such as Journal of Membrane Science, Biotechnology and Bioengineering and Membranes.

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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