Gianmarco Terrones
Impact in
- Inorganic Chemistry top 10%
- Metal-Organic Frameworks: Synthesis and Applications
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- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
- Covalent Organic Framework Applications
- Catalytic Processes in Materials Science
Papers in
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- Machine Learning in Materials Science 11
- Luminescence and Fluorescent Materials 2
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- Metal-Organic Frameworks: Synthesis and Applications 8
- Co-authors
- Heather J. Kulik (18 shared papers)Aditya Nandy (6 shared papers)Chenru Duan (7 shared papers)David W. Kastner (2 shared papers)Shuwen Yue (5 shared papers)Yongchul G. Chung (3 shared papers)Matthew P. Rivera (2 shared papers)Emily R. Wearing (3 shared papers)
- Journals
- Journal of the American Chemical Society (2 papers)ACS Applied Materials & Interfaces (2 papers)Matter (2 papers)Molecular Systems Design & Engineering (1 paper)Journal of Catalysis (1 paper)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Gianmarco Terrones
18 papers receiving 347 citations
Peers
Comparison fields: 5 of 48
- Inorganic Chemistry 190
- Materials Chemistry 217
- Computational Theory and Mathematics 34
- Structural Biology 3
- Process Chemistry and Technology 6
Countries citing papers authored by Gianmarco Terrones
This map shows the geographic impact of Gianmarco Terrones'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 Gianmarco Terrones with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianmarco Terrones more than expected).
Fields of papers citing papers by Gianmarco Terrones
This network shows the impact of papers produced by Gianmarco Terrones. 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 Gianmarco Terrones. The network helps show where Gianmarco Terrones may publish in the future.
Co-authors
The 25 scholars most cited alongside Gianmarco Terrones, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 92 | |
| 2 | 2023 | 56 | |
| 3 | 2024 | 41 | |
| 4 | 2024 | 36 | |
| 5 | 2023 | 25 | |
| 6 | 2025 | 23 | |
| 7 | 2024 | 19 | |
| 8 | 2022 | 16 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2025 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2022 | 1 |
About Gianmarco Terrones
Gianmarco Terrones is a scholar working on Materials Chemistry, Inorganic Chemistry, Organic Chemistry, Computational Theory and Mathematics and Environmental Chemistry, having authored 18 papers that have together received 354 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (11 papers), Metal-Organic Frameworks: Synthesis and Applications (8 papers), Radical Photochemical Reactions (3 papers), Catalytic C–H Functionalization Methods (3 papers), Luminescence and Fluorescent Materials (2 papers), Nanoplatforms for cancer theranostics (2 papers), Computational Drug Discovery Methods (2 papers) and Catalysis and Oxidation Reactions (2 papers). The work is most often cited by research in Inorganic Chemistry (190 citations), Materials Chemistry (217 citations), Computational Theory and Mathematics (34 citations), Structural Biology (3 citations) and Process Chemistry and Technology (6 citations). Gianmarco Terrones has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Heather J. Kulik, Aditya Nandy, Chenru Duan, David W. Kastner, Shuwen Yue, Yongchul G. Chung, Matthew P. Rivera, Emily R. Wearing, Ilia Kevlishvili and Corinna S. Schindler. Their work appears in journals such as Journal of the American Chemical Society, ACS Applied Materials & Interfaces, Matter, Molecular Systems Design & Engineering and Journal of Catalysis.
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.