Aurelia Li

2.2k total citations · 1 hit paper
14 papers, 1.8k citations indexed

About

Aurelia Li is a scholar working on Inorganic Chemistry, Materials Chemistry and Biomaterials. According to data from OpenAlex, Aurelia Li has authored 14 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Inorganic Chemistry, 9 papers in Materials Chemistry and 4 papers in Biomaterials. Recurrent topics in Aurelia Li's work include Metal-Organic Frameworks: Synthesis and Applications (13 papers), Machine Learning in Materials Science (5 papers) and X-ray Diffraction in Crystallography (4 papers). Aurelia Li is often cited by papers focused on Metal-Organic Frameworks: Synthesis and Applications (13 papers), Machine Learning in Materials Science (5 papers) and X-ray Diffraction in Crystallography (4 papers). Aurelia Li collaborates with scholars based in United Kingdom, United States and China. Aurelia Li's co-authors include David Fairen‐Jiménez, Peyman Z. Moghadam, Seth B. Wiggin, P.A. Wood, Suzanna C. Ward, Andi Tao, Andrew G. P. Maloney, Rocío Bueno-Pérez, Shudong Wang and Xiaowei Liu and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Chemistry of Materials.

In The Last Decade

Aurelia Li

13 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Development of a Cambridge Structural Database Subset: A Collection of Metal–Organic Frameworks for Past, Present, and Future

2017 832 citations Peyman Z. Moghadam, Aurelia Li et al. Chemistry of Materials profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Aurelia Li United Kingdom	12	1.4k	1.2k	240	228	225	14	1.8k
Douglas A. Reed United States	15	1.2k 0.8×	1.0k 0.8×	316 1.3×	339 1.5×	158 0.7×	19	1.6k
Stefano Canossa Italy	19	1.2k 0.9×	1.1k 0.9×	195 0.8×	207 0.9×	163 0.7×	45	1.7k
Ryther Anderson United States	15	1.3k 0.9×	1.3k 1.1×	154 0.6×	306 1.3×	179 0.8×	25	1.8k
Emmanuel Klontzas Greece	26	1.4k 1.0×	1.8k 1.5×	201 0.8×	385 1.7×	175 0.8×	49	2.4k
Seth B. Wiggin United Kingdom	9	1.0k 0.7×	1.0k 0.8×	211 0.9×	152 0.7×	107 0.5×	13	1.4k
Seungkyu Lee United States	12	798 0.6×	676 0.6×	201 0.8×	133 0.6×	157 0.7×	26	1.2k
Lauren K. Macreadie Australia	19	1.0k 0.7×	920 0.8×	129 0.5×	204 0.9×	123 0.5×	42	1.4k
Ralph Freund Germany	10	1.2k 0.8×	1.2k 1.0×	205 0.9×	165 0.7×	364 1.6×	15	1.9k
Orysia Zaremba Spain	13	1.0k 0.7×	1.1k 0.9×	153 0.6×	155 0.7×	343 1.5×	23	1.9k
Mei‐Hui Yu China	23	1.2k 0.9×	1.2k 1.0×	250 1.0×	202 0.9×	166 0.7×	66	1.8k

Countries citing papers authored by Aurelia Li

Since Specialization

Citations

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

Fields of papers citing papers by Aurelia Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurelia Li

This figure shows the co-authorship network connecting the top 25 collaborators of Aurelia Li. A scholar is included among the top collaborators of Aurelia Li 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 Aurelia Li. Aurelia Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Sokołowski, Kamil, et al.. (2025). Tunable Self-Assembly of Decanuclear Ni(II) Carbonato Clusters with a Hydroxyquinolinato Shell: Robust Porous Networks with Reversible Solvent-/Temperature-Driven Phase Transitions and Selective Gas Separation. Journal of the American Chemical Society. 147(22). 19073–19083.

Tang, Xianhui, Nakul Rampal, Aurelia Li, et al.. (2023). Homochiral Porous Metal–Organic Polyhedra with Multiple Kinds of Vertices. Journal of the American Chemical Society. 145(4). 2561–2571. 34 indexed citations

Li, Aurelia, Rocío Bueno-Pérez, David G. Madden, & David Fairen‐Jiménez. (2022). From computational high-throughput screenings to the lab: taking metal–organic frameworks out of the computer. Chemical Science. 13(27). 7990–8002. 15 indexed citations

Li, Aurelia, Rocío Bueno-Pérez, & David Fairen‐Jiménez. (2022). Identifying porous cage subsets in the Cambridge Structural Database using topological data analysis. Chemical Science. 13(45). 13507–13523. 8 indexed citations

Li, Aurelia, et al.. (2021). The launch of a freely accessible MOF CIF collection from the CSD. Matter. 4(4). 1105–1106. 42 indexed citations

Li, Aurelia, Rocío Bueno-Pérez, David G. Madden, et al.. (2020). Identifying Differing Intracellular Cargo Release Mechanisms by Monitoring In Vitro Drug Delivery from MOFs in Real Time. Cell Reports Physical Science. 1(11). 100254–100254. 37 indexed citations

Li, Aurelia, Rocío Bueno-Pérez, Seth B. Wiggin, & David Fairen‐Jiménez. (2020). Enabling efficient exploration of metal–organic frameworks in the Cambridge Structural Database. CrystEngComm. 22(43). 7152–7161. 45 indexed citations

Orellana‐Tavra, Claudia, Milan Köppen, Aurelia Li, Norbert Stock, & David Fairen‐Jiménez. (2020). Biocompatible, Crystalline, and Amorphous Bismuth-Based Metal–Organic Frameworks for Drug Delivery. ACS Applied Materials & Interfaces. 12(5). 5633–5641. 86 indexed citations

Moghadam, Peyman Z., Aurelia Li, Xiaowei Liu, et al.. (2020). Targeted classification of metal–organic frameworks in the Cambridge structural database (CSD). Chemical Science. 11(32). 8373–8387. 177 indexed citations

10.

Zhao, Pu, Hong Fang, Sanghamitra Mukhopadhyay, et al.. (2019). Structural dynamics of a metal–organic framework induced by CO2 migration in its non-uniform porous structure. Nature Communications. 10(1). 999–999. 78 indexed citations

11.

Osterrieth, Johannes W. M., Demelza Wright, Hyunho Noh, et al.. (2019). Core–Shell Gold Nanorod@Zirconium-Based Metal–Organic Framework Composites as in Situ Size-Selective Raman Probes. Journal of the American Chemical Society. 141(9). 3893–3900. 148 indexed citations

12.

Moghadam, Peyman Z., Sven M. J. Rogge, Aurelia Li, et al.. (2019). Structure-Mechanical Stability Relations of Metal-Organic Frameworks via Machine Learning. Matter. 1(1). 219–234. 222 indexed citations

13.

Matito-Martos, I., Peyman Z. Moghadam, Aurelia Li, et al.. (2018). Discovery of an Optimal Porous Crystalline Material for the Capture of Chemical Warfare Agents. Chemistry of Materials. 30(14). 4571–4579. 71 indexed citations

14.

Moghadam, Peyman Z., Aurelia Li, Seth B. Wiggin, et al.. (2017). Development of a Cambridge Structural Database Subset: A Collection of Metal–Organic Frameworks for Past, Present, and Future. Chemistry of Materials. 29(7). 2618–2625. 832 indexed citations breakdown →

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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