Daniel J. Preston

28 total papers · 1.3k total citations
14 papers, 746 citations indexed

About

Daniel J. Preston is a scholar working on Mechanical Engineering, Biomedical Engineering and Computational Mechanics. According to data from OpenAlex, Daniel J. Preston has authored 14 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Mechanical Engineering, 4 papers in Biomedical Engineering and 3 papers in Computational Mechanics. Recurrent topics in Daniel J. Preston's work include Advanced Materials and Mechanics (2 papers), Calibration and Measurement Techniques (2 papers) and Heat Transfer and Boiling Studies (2 papers). Daniel J. Preston is often cited by papers focused on Advanced Materials and Mechanics (2 papers), Calibration and Measurement Techniques (2 papers) and Heat Transfer and Boiling Studies (2 papers). Daniel J. Preston collaborates with scholars based in United States, United Kingdom and Canada. Daniel J. Preston's co-authors include Yangying Zhu, Evelyn N. Wang, H. Jeremy Cho, George M. Whitesides, Brian J. Cafferty, Milan Mrksich, M. Fink, Shencheng Ge, Anthony Calise and Yunzhe Wang and has published in prestigious journals such as Journal of the American Chemical Society, Nature Reviews Materials and Advanced Science.

In The Last Decade

Daniel J. Preston

14 papers receiving 735 citations

Hit Papers

Nanoengineered materials ... 2016 2026 2019 2022 2016 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Daniel J. Preston 278 272 272 208 144 14 746
Weijian Liu 375 1.3× 185 0.7× 64 0.2× 221 1.1× 139 1.0× 22 663
Qingjun Cai 332 1.2× 255 0.9× 376 1.4× 157 0.8× 213 1.5× 29 790
S. Farzad Ahmadi 551 2.0× 297 1.1× 120 0.4× 97 0.5× 143 1.0× 21 746
Ahmed Hamraoui 208 0.7× 187 0.7× 85 0.3× 245 1.2× 163 1.1× 25 838
Timothée Mouterde 449 1.6× 260 1.0× 47 0.2× 330 1.6× 201 1.4× 19 784
Emre Ölçeroǧlu 282 1.0× 427 1.6× 456 1.7× 107 0.5× 129 0.9× 11 739
Shreyas Chavan 708 2.5× 439 1.6× 179 0.7× 158 0.8× 259 1.8× 16 907
Hua Guo 133 0.5× 230 0.8× 96 0.4× 207 1.0× 195 1.4× 16 797
Hua Fan 271 1.0× 300 1.1× 104 0.4× 432 2.1× 243 1.7× 42 869
Changhao Chen 523 1.9× 157 0.6× 62 0.2× 281 1.4× 160 1.1× 43 878

Countries citing papers authored by Daniel J. Preston

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Preston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Preston

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Preston. A scholar is included among the top collaborators of Daniel J. Preston 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 Daniel J. Preston. Daniel J. Preston 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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