Suzanna C. Ward
- Inorganic Chemistry top 0.2%
- Metal-Organic Frameworks: Synthesis and Applications 2
- Physical and Theoretical Chemistry top 0.05%
- Crystallography and molecular interactions 3
- Organic Chemistry top 0.5%
- Materials Chemistry top 1%
- X-ray Diffraction in Crystallography 6
- Machine Learning in Materials Science 5
- Crystallization and Solubility Studies 2
- Enzyme Structure and Function 2
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- Crystal Structures and Properties 2
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- Computational Drug Discovery Methods 4
Suzanna C. Ward
15 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Inorganic Chemistry 4.4k
- Physical and Theoretical Chemistry 2.7k
- Organic Chemistry 2.9k
- Materials Chemistry 3.4k
- Electronic, Optical and Magnetic Materials 1.2k
Countries citing papers authored by Suzanna C. Ward
This map shows the geographic impact of Suzanna C. Ward'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 Suzanna C. Ward with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanna C. Ward more than expected).
Fields of papers citing papers by Suzanna C. Ward
This network shows the impact of papers produced by Suzanna C. Ward. 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 Suzanna C. Ward. The network helps show where Suzanna C. Ward may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Suzanna C. Ward, 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 | 2025 | 0 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 13 | |
| 6 | 2022 | 18 | |
| 7 | 2021 | 42 | |
| 8 | 2020 | 20 | |
| 9 | Development of a Cambridge Structural Database Subset: A Collection of Metal–Organic Frameworks for Past, Present, and Futurebreakdown → | 2017 | 832 |
| 10 | The Cambridge Structural Databasebreakdown → | 2016 | 7451 |
| 11 | 2016 | 11 | |
| 12 | 2012 | 8 | |
| 13 | 2007 | 5 | |
| 14 | 2004 | 1 | |
| 15 | 2000 | 10 | |
| 16 | 1998 | 1 |
About Suzanna C. Ward
Suzanna C. Ward is a scholar working on Physical and Theoretical Chemistry, Inorganic Chemistry, Computational Theory and Mathematics, Geochemistry and Petrology and Materials Chemistry, having authored 16 papers that have together received 8.4k indexed citations. Recurring topics across this work include X-ray Diffraction in Crystallography (6 papers), Machine Learning in Materials Science (5 papers), Computational Drug Discovery Methods (4 papers), Crystallography and molecular interactions (3 papers), Crystallization and Solubility Studies (2 papers), Metal-Organic Frameworks: Synthesis and Applications (2 papers), Crystal Structures and Properties (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Inorganic Chemistry (4.4k citations), Physical and Theoretical Chemistry (2.7k citations), Organic Chemistry (2.9k citations), Materials Chemistry (3.4k citations) and Electronic, Optical and Magnetic Materials (1.2k citations). Suzanna C. Ward has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Colin R. Groom, Matthew P. Lightfoot, Ian Bruno, P.A. Wood, David Fairen‐Jiménez, Seth B. Wiggin, Aurelia Li, Andi Tao, Andrew G. P. Maloney and Peyman Z. Moghadam. Their work appears in journals such as Chemical Communications, Journal of Applied Crystallography, CrystEngComm, IUCrJ and Acta Crystallographica Section B Structural Science Crystal Engineering and Materials.
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.