David Porciani

812 citations
20 papers · 589 indexed · h-index 14
Topics
Advanced biosensing and bioanalysis techniques (17 papers)RNA Interference and Gene Delivery (12 papers)Monoclonal and Polyclonal Antibodies Research (6 papers)

In The Last Decade

David Porciani

20 papers receiving 580 citations

Peers

David Porciani
Comparison fields: 5 of 76
  • Molecular Biology 463
  • Biomedical Engineering 122
  • Oncology 66
  • Biomaterials 57
  • Radiology, Nuclear Medicine and Imaging 52
Replace Maruti Uppalapati with:
Maruti Uppalapati Canada
Joshua A. Broussard United States
Alexia I. Bachir United States
Mark Polinkovsky Australia
Deborah Kwok United States
Alexander L. Watters United States
Kazuaki Sawada Japan
Oana Coban United States
Christina M. Robinson United States
Oleg A. Stremovskiy Russia
David Porciani relative to Maruti Uppalapati Canada Maruti Uppalapati's profile →
Citations per field
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Maruti Uppalapati · 1×
Citations per year

Countries citing papers authored by David Porciani

Since Specialization
Citations

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

Fields of papers citing papers by David Porciani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Porciani

This figure shows the co-authorship network connecting the top 25 collaborators of David Porciani. A scholar is included among the top collaborators of David Porciani 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 David Porciani. David Porciani 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 2
2 1
3 2
4 18
5 14
6 6
7 40
8 60
9 13
10 1
11 61
12 44
13 9
14 18
15 49
16 94
17 32
18 25
19 68
20 32

About David Porciani

David Porciani is a scholar working on Biophysics, Biomaterials and Molecular Biology, having authored 20 papers that have together received 589 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (17 papers), RNA Interference and Gene Delivery (12 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Molecular Biology (463 citations), Biophysics (38 citations) and Structural Biology (9 citations). David Porciani has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Donald H. Burke, Khalid K. Alam, Giovanni Signore, Fabio Beltram, Laura Marchetti, Mark A. Daniëls, Lorenzo Albertazzi, Vincenzo Piazza, Lorenzo Citti and Lorena Tedeschi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Communications.

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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