Yamil J. Colón

5.0k citations
62 papers · 3.8k indexed · 1 hit paper · h-index 21
Topics
Metal-Organic Frameworks: Synthesis and Applications (34 papers)Machine Learning in Materials Science (22 papers)Covalent Organic Framework Applications (11 papers)

In The Last Decade

Yamil J. Colón

58 papers receiving 3.7k citations

Hit Papers

A facile synthesis of UiO-66, UiO-67 and their derivatives201320262017202120134008001.2k

Peers

Yamil J. Colón
Comparison fields: 5 of 99
  • Inorganic Chemistry 2.8k
  • Materials Chemistry 2.4k
  • Mechanical Engineering 688
  • Electrical and Electronic Engineering 404
  • Biomedical Engineering 402
Replace Yongchul G. Chung with:
Yongchul G. Chung South Korea
Diego A. Gómez‐Gualdrón United States
Himanshu Jasuja United States
Marc Pera‐Titus France
Samantha K. Callear United Kingdom
Juncong Jiang United States
Kristof Houthoofd Belgium
Kent O. Kirlikovali United States
David S. Wragg Norway
Helge Reinsch Germany
Yamil J. Colón relative to Yongchul G. Chung South Korea Yongchul G. Chung's profile →
Citations per field
00.5×1.5×2.1×
Yongchul G. Chung · 1×
Citations per year

Countries citing papers authored by Yamil J. Colón

Since Specialization
Citations

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

Fields of papers citing papers by Yamil J. Colón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yamil J. Colón. 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 Yamil J. Colón. The network helps show where Yamil J. Colón may publish in the future.

Co-authorship network of co-authors of Yamil J. Colón

This figure shows the co-authorship network connecting the top 25 collaborators of Yamil J. Colón. A scholar is included among the top collaborators of Yamil J. Colón 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 Yamil J. Colón. Yamil J. Colón 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
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3 6
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8 13
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14 6
15 14
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18 29
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A facile synthesis of UiO-66, UiO-67 and their derivativesbreakdown →
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About Yamil J. Colón

Yamil J. Colón is a scholar working on Inorganic Chemistry, Acoustics and Ultrasonics and Materials Chemistry, having authored 62 papers that have together received 3.8k indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (34 papers), Machine Learning in Materials Science (22 papers) and Covalent Organic Framework Applications (11 papers). The work is most often cited by research in Inorganic Chemistry (2.8k citations), Process Chemistry and Technology (168 citations) and Materials Chemistry (2.4k citations). Yamil J. Colón has collaborated with scholars based in United States, Chile and South Korea. Frequent co-authors include Randall Q. Snurr, Omar K. Farha, Joseph T. Hupp, Michael J. Katz, Zachary J. Brown, Karl A. Scheidt, Paul W. Siu, Diego A. Gómez‐Gualdrón, Pritha Ghosh and Krishnendu Mukherjee. Their work appears in journals such as Proceedings of the National Academy of Sciences, Chemical Society Reviews and The Journal of Chemical Physics.

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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