Giancarlo Tria
- Molecular Biology top 5%
- Organic Chemistry top 5%
- Materials Chemistry top 10%
- Pharmacology top 5%
- Cell Biology top 5%
- Co-authors
- Dmitri I. SvergunHaydyn D. T. MertensAlexander V. ShkumatovMaxim V. PetoukhovAlexey KikhneyDaniel FrankeMichał J. GajdaChristian Gorba
- Topics
- Synthetic Organic Chemistry Methods (8 papers)Microbial Natural Products and Biosynthesis (7 papers)Enzyme Structure and Function (5 papers)
- Journals
- Journal of the American Chemical SocietyJournal of Biological ChemistryAngewandte Chemie International Edition
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Giancarlo Tria
30 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 1.9k
- Organic Chemistry 680
- Materials Chemistry 613
- Pharmacology 304
- Cell Biology 266
Countries citing papers authored by Giancarlo Tria
This map shows the geographic impact of Giancarlo Tria'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 Giancarlo Tria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giancarlo Tria more than expected).
Fields of papers citing papers by Giancarlo Tria
This network shows the impact of papers produced by Giancarlo Tria. 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 Giancarlo Tria. The network helps show where Giancarlo Tria may publish in the future.
Co-authorship network of co-authors of Giancarlo Tria
This figure shows the co-authorship network connecting the top 25 collaborators of Giancarlo Tria. A scholar is included among the top collaborators of Giancarlo Tria 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 Giancarlo Tria. Giancarlo Tria is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | 15 | |
| 5 | 19 | |
| 6 | 14 | |
| 7 | 9 | |
| 8 | 15 | |
| 9 | 7 | |
| 10 | 33 | |
| 11 | 80 | |
| 12 | 81 | |
| 13 | 41 | |
| 14 | 43 | |
| 15 | 23 | |
| 16 | 9 | |
| 17 | New developments in theATSASprogram package for small-angle scattering data analysisbreakdown → | 1599 |
| 18 | 110 | |
| 19 | 24 | |
| 20 | 161 |
About Giancarlo Tria
Giancarlo Tria is a scholar working on Microbiology, Pharmacology and Organic Chemistry, having authored 30 papers that have together received 3.2k indexed citations. Recurring topics across this work include Synthetic Organic Chemistry Methods (8 papers), Microbial Natural Products and Biosynthesis (7 papers) and Enzyme Structure and Function (5 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Organic Chemistry (680 citations) and Structural Biology (31 citations). Giancarlo Tria has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Dmitri I. Svergun, Haydyn D. T. Mertens, Alexander V. Shkumatov, Maxim V. Petoukhov, Alexey Kikhney, Daniel Franke, Michał J. Gajda, Christian Gorba, Petr V. Konarev and David J. Edmonds. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.
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.