Aetna W. Wun

711 total citations · 1 hit paper
6 papers, 571 citations indexed

About

Aetna W. Wun is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Bioengineering. According to data from OpenAlex, Aetna W. Wun has authored 6 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Materials Chemistry, 4 papers in Electrical and Electronic Engineering and 2 papers in Bioengineering. Recurrent topics in Aetna W. Wun's work include Silicon Nanostructures and Photoluminescence (4 papers), Nanowire Synthesis and Applications (2 papers) and Semiconductor materials and devices (2 papers). Aetna W. Wun is often cited by papers focused on Silicon Nanostructures and Photoluminescence (4 papers), Nanowire Synthesis and Applications (2 papers) and Semiconductor materials and devices (2 papers). Aetna W. Wun collaborates with scholars based in United States, United Kingdom and New Zealand. Aetna W. Wun's co-authors include Moungi G. Bawendi, Daniel G. Nocera, Christina M. Rudzinski, Glen W. Walker, Vikram Sundar, Michael J. Sailor, Christian Gurtner, Gordon M. Miskelly, Christie A. Canaria and Elaine A. Perkins and has published in prestigious journals such as Angewandte Chemie International Edition, Applied Physics Letters and Journal of Materials Chemistry.

In The Last Decade

Aetna W. Wun

6 papers receiving 563 citations

Hit Papers

align trajectories sort by overperformance

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.

Quantum-dot optical temperature probes

2003 342 citations Glen W. Walker, Vikram Sundar et al. Applied Physics Letters profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aetna W. Wun United States	6	424	317	204	111	62	6	571
Michael P. Rowe United States	10	477 1.1×	300 0.9×	176 0.9×	91 0.8×	29 0.5×	23	740
G. Belomoin United States	10	886 2.1×	450 1.4×	544 2.7×	162 1.5×	65 1.0×	18	1.0k
Taizo Ohgi Japan	14	268 0.6×	403 1.3×	169 0.8×	215 1.9×	47 0.8×	35	564
L. Renna Italy	16	241 0.6×	418 1.3×	190 0.9×	142 1.3×	84 1.4×	41	589
J. Dian Czechia	13	520 1.2×	260 0.8×	224 1.1×	143 1.3×	123 2.0×	63	715
Christian Schoenenberger Switzerland	6	205 0.5×	429 1.4×	174 0.9×	203 1.8×	52 0.8×	11	505
F. Berger Germany	15	368 0.9×	278 0.9×	132 0.6×	158 1.4×	19 0.3×	29	605
G. Leatherman United States	14	188 0.4×	462 1.5×	110 0.5×	399 3.6×	27 0.4×	21	763
Ulrich Zerweck Germany	11	212 0.5×	353 1.1×	251 1.2×	467 4.2×	19 0.3×	14	651
Nick Clark United Kingdom	14	514 1.2×	289 0.9×	190 0.9×	145 1.3×	42 0.7×	31	782

Countries citing papers authored by Aetna W. Wun

Since Specialization

Citations

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

Fields of papers citing papers by Aetna W. Wun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aetna W. Wun. 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 Aetna W. Wun. The network helps show where Aetna W. Wun may publish in the future.

Co-authorship network of co-authors of Aetna W. Wun

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

All Works

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6 of 6 papers shown

1.

Wun, Aetna W., Preston T. Snee, Yinthai Chan, Moungi G. Bawendi, & Daniel G. Nocera. (2005). Non-linear transduction strategies for chemo/biosensing on small length scales. Journal of Materials Chemistry. 15(27-28). 2697–2697. 15 indexed citations

2.

Walker, Glen W., Vikram Sundar, Christina M. Rudzinski, et al.. (2003). Quantum-dot optical temperature probes. Applied Physics Letters. 83(17). 3555–3557. 342 indexed citations breakdown →

3.

Canaria, Christie A., et al.. (2002). Characterization of the carbon–silicon stretch in methylated porous silicon—observation of an anomalous isotope shift in the FTIR spectrum. Inorganic Chemistry Communications. 5(8). 560–564. 47 indexed citations

4.

Canham, Leigh, Michael H. Anderson, C.L. Reeves, et al.. (2000). Tuning the Pore Size and Surface Chemistry of Porous Silicon for Immunoassays. physica status solidi (a). 182(1). 547–553. 57 indexed citations

5.

Gurtner, Christian, Aetna W. Wun, & Michael J. Sailor. (1999). Surface Modification of Porous Silicon by Electrochemical Reduction of Organo Halides. Angewandte Chemie International Edition. 38(13-14). 1966–1968. 102 indexed citations

6.

Gurtner, Christian, Aetna W. Wun, & Michael J. Sailor. (1999). Oberflächenmodifikation von porösem Silicium durch elektrochemische Reduktion organischer Halogenide. Angewandte Chemie. 111(13-14). 2132–2135. 8 indexed citations

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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