Sarah M. Conron

13 total papers · 515 total citations
12 papers, 450 citations indexed

About

Sarah M. Conron is a scholar working on Electrical and Electronic Engineering, Physical and Theoretical Chemistry and Materials Chemistry. According to data from OpenAlex, Sarah M. Conron has authored 12 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 5 papers in Physical and Theoretical Chemistry and 5 papers in Materials Chemistry. Recurrent topics in Sarah M. Conron's work include Organic Electronics and Photovoltaics (5 papers), Photochemistry and Electron Transfer Studies (5 papers) and Conducting polymers and applications (4 papers). Sarah M. Conron is often cited by papers focused on Organic Electronics and Photovoltaics (5 papers), Photochemistry and Electron Transfer Studies (5 papers) and Conducting polymers and applications (4 papers). Sarah M. Conron collaborates with scholars based in United States, Saudi Arabia and Germany. Sarah M. Conron's co-authors include Michael R. Wasielewski, Mark E. Thompson, Amanda L. Smeigh, Arun K. Thazhathveetil, Frederick D. Lewis, John J. Chen, Alexander L. Burin, Michael T. Colvin, Michael Dimitriou and Annie Butler Ricks and has published in prestigious journals such as Journal of the American Chemical Society, Chemistry of Materials and The Journal of Physical Chemistry B.

In The Last Decade

Sarah M. Conron

12 papers receiving 448 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sarah M. Conron	236	215	112	86	85	12	450
Sven Jordens	228 1.0×	303 1.4×	101 0.9×	159 1.8×	88 1.0×	12	475
Hamid Soleimaninejad	266 1.1×	293 1.4×	93 0.8×	81 0.9×	60 0.7×	16	520
Gino De Belder	186 0.8×	302 1.4×	81 0.7×	182 2.1×	62 0.7×	13	412
Ania Deres	163 0.7×	231 1.1×	123 1.1×	65 0.8×	52 0.6×	8	538
Palas Roy	182 0.8×	186 0.9×	89 0.8×	67 0.8×	42 0.5×	24	412
Darla K. Graff	83 0.4×	176 0.8×	162 1.4×	38 0.4×	67 0.8×	10	447
Tai-Sang Ahn	239 1.0×	265 1.2×	99 0.9×	92 1.1×	40 0.5×	7	476
Wei‐Ti Chuang	143 0.6×	259 1.2×	193 1.7×	88 1.0×	78 0.9×	7	506
Tobias Schnitzler	149 0.6×	197 0.9×	55 0.5×	98 1.1×	136 1.6×	11	491
J. Müller	188 0.8×	290 1.3×	52 0.5×	131 1.5×	66 0.8×	13	449

Countries citing papers authored by Sarah M. Conron

Since Specialization

Citations

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

Fields of papers citing papers by Sarah M. Conron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah M. Conron. 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 Sarah M. Conron. The network helps show where Sarah M. Conron may publish in the future.

Co-authorship network of co-authors of Sarah M. Conron

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

All Works

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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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