Brian E. Conn

1.5k total citations · 1 hit paper
9 papers, 1.3k citations indexed

About

Brian E. Conn is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Organic Chemistry. According to data from OpenAlex, Brian E. Conn has authored 9 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Materials Chemistry, 7 papers in Electronic, Optical and Magnetic Materials and 2 papers in Organic Chemistry. Recurrent topics in Brian E. Conn's work include Nanocluster Synthesis and Applications (9 papers), Gold and Silver Nanoparticles Synthesis and Applications (6 papers) and Advanced Nanomaterials in Catalysis (2 papers). Brian E. Conn is often cited by papers focused on Nanocluster Synthesis and Applications (9 papers), Gold and Silver Nanoparticles Synthesis and Applications (6 papers) and Advanced Nanomaterials in Catalysis (2 papers). Brian E. Conn collaborates with scholars based in United States, Canada and India. Brian E. Conn's co-authors include Terry P. Bigioni, Uzi Landman, Bokwon Yoon, R. N. Barnett, Anil Desireddy, Wendell P. Griffith, Jingshu Guo, Kristin Kirschbaum, Robert L. Whetten and W. D. Luedtke and has published in prestigious journals such as Nature, Nature Materials and ACS Nano.

In The Last Decade

Brian E. Conn

9 papers receiving 1.3k citations

Hit Papers

Ultrastable silver nanoparticles 2013 2026 2017 2021 2013 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian E. Conn United States 7 1.2k 844 100 94 94 9 1.3k
Papri Chakraborty India 23 1.3k 1.1× 849 1.0× 64 0.6× 74 0.8× 138 1.5× 46 1.4k
Anil Desireddy United States 11 1.5k 1.2× 1.1k 1.3× 148 1.5× 197 2.1× 103 1.1× 15 1.7k
Abhijit Nag India 19 845 0.7× 553 0.7× 64 0.6× 43 0.5× 77 0.8× 35 988
Kumaranchira Ramankutty Krishnadas India 16 829 0.7× 542 0.6× 73 0.7× 56 0.6× 65 0.7× 25 938
Lars Gell Finland 12 1.3k 1.1× 864 1.0× 35 0.3× 59 0.6× 68 0.7× 16 1.4k
Jishi Chen China 18 1.6k 1.3× 991 1.2× 77 0.8× 70 0.7× 71 0.8× 31 1.6k
Lakshmi V. Nair India 16 1.0k 0.8× 591 0.7× 193 1.9× 139 1.5× 60 0.6× 30 1.2k
Shengli Zhuang China 24 1.7k 1.4× 949 1.1× 54 0.5× 78 0.8× 106 1.1× 49 1.7k
Christina A. Fields-Zinna United States 10 1.2k 1.0× 827 1.0× 30 0.3× 78 0.8× 59 0.6× 10 1.3k

Countries citing papers authored by Brian E. Conn

Since Specialization
Citations

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

Fields of papers citing papers by Brian E. Conn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian E. Conn. 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 Brian E. Conn. The network helps show where Brian E. Conn may publish in the future.

Co-authorship network of co-authors of Brian E. Conn

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

All Works

9 of 9 papers shown
1.
Chen, Ziyi, Daniel M. Chevrier, Brian E. Conn, Terry P. Bigioni, & Peng Zhang. (2023). Utilizing an Improved EXAFS Structure Analysis Method to Reveal Site-Specific Bonding Properties of Ag 44 (SR) 30 Nanoclusters. The Journal of Physical Chemistry C. 127(42). 20771–20778. 2 indexed citations
2.
Chevrier, Daniel M., Brian E. Conn, Bo Li, et al.. (2020). Interactions between Ultrastable Na 4 Ag 44 (SR) 30 Nanoclusters and Coordinating Solvents: Uncovering the Atomic-Scale Mechanism. ACS Nano. 14(7). 8433–8441. 23 indexed citations
3.
Conn, Brian E., et al.. (2018). M4Au12Ag32(p-MBA)30(M= Na, Cs) bimetallic monolayer-protected clusters: synthesis and structure. Acta Crystallographica Section E Crystallographic Communications. 74(7). 987–993. 6 indexed citations
4.
Conn, Brian E., et al.. (2018). Synthetic and Postsynthetic Chemistry of M4AuxAg44–x(p-MBA)30Alloy Nanoparticles. The Journal of Physical Chemistry C. 122(24). 13166–13174. 21 indexed citations
5.
Chakraborty, Indranath, et al.. (2017). High-Yield Paste-Based Synthesis of Thiolate-Protected Silver Nanoparticles. The Journal of Physical Chemistry C. 121(20). 10964–10970. 15 indexed citations
6.
Conn, Brian E., et al.. (2016). Confirmation of a de novo structure prediction for an atomically precise monolayer-coated silver nanoparticle. Science Advances. 2(11). e1601609–e1601609. 43 indexed citations
7.
Conn, Brian E., Anil Desireddy, Sameera Wickramasinghe, et al.. (2015). M4Ag44(p-MBA)30Molecular Nanoparticles. The Journal of Physical Chemistry C. 119(20). 11238–11249. 35 indexed citations
8.
Yoon, Bokwon, W. D. Luedtke, R. N. Barnett, et al.. (2014). Hydrogen-bonded structure and mechanical chiral response of a silver nanoparticle superlattice. Nature Materials. 13(8). 807–811. 138 indexed citations
9.
Desireddy, Anil, Brian E. Conn, Jingshu Guo, et al.. (2013). Ultrastable silver nanoparticles. Nature. 501(7467). 399–402. 1055 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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