David P. Weliky

134 total papers · 2.7k total citations
84 papers, 2.4k citations indexed

About

David P. Weliky is a scholar working on Molecular Biology, Spectroscopy and Virology. According to data from OpenAlex, David P. Weliky has authored 84 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 27 papers in Spectroscopy and 26 papers in Virology. Recurrent topics in David P. Weliky's work include HIV Research and Treatment (26 papers), Protein Structure and Dynamics (23 papers) and Lipid Membrane Structure and Behavior (20 papers). David P. Weliky is often cited by papers focused on HIV Research and Treatment (26 papers), Protein Structure and Dynamics (23 papers) and Lipid Membrane Structure and Behavior (20 papers). David P. Weliky collaborates with scholars based in United States, Israel and Greece. David P. Weliky's co-authors include Robert Tycko, Jun Yang, Mercouri G. Kanatzidis, Charles M. Gabrys, Yan Sun, Christian G. Canlas, In Jae Chung, Takeshi Oka, Rong Yang and Takamasa Momose and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

David P. Weliky

83 papers receiving 2.4k citations

Author Peers

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

Author Last Decade Papers Cites
David P. Weliky 1.1k 756 572 465 368 84 2.4k
Clyde A. Hutchison 687 0.6× 611 0.8× 1.2k 2.1× 279 0.6× 345 0.9× 94 3.6k
Likai Song 716 0.7× 309 0.4× 380 0.7× 434 0.9× 136 0.4× 52 1.9k
Gongpu Zhao 1.8k 1.7× 219 0.3× 1.1k 1.9× 668 1.4× 503 1.4× 56 4.0k
Tatyana Polenova 1.4k 1.3× 2.8k 3.7× 1.6k 2.9× 312 0.7× 237 0.6× 141 4.5k
Ye Tian 3.3k 3.0× 385 0.5× 803 1.4× 118 0.3× 787 2.1× 116 4.7k
Peter J. Domaille 1.3k 1.2× 465 0.6× 2.2k 3.9× 145 0.3× 193 0.5× 63 4.4k
Yoshinori Satow 2.6k 2.4× 176 0.2× 1.0k 1.8× 104 0.2× 110 0.3× 89 4.5k
Meitian Wang 2.0k 1.8× 171 0.2× 1.1k 1.9× 282 0.6× 173 0.5× 129 4.1k
Olve B. Peersen 1.5k 1.4× 454 0.6× 352 0.6× 150 0.3× 30 0.1× 55 3.5k
In‐Ja L. Byeon 2.8k 2.5× 736 1.0× 646 1.1× 562 1.2× 22 0.1× 78 4.0k

Countries citing papers authored by David P. Weliky

Since Specialization
Citations

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

Fields of papers citing papers by David P. Weliky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David P. Weliky. 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 David P. Weliky. The network helps show where David P. Weliky may publish in the future.

Co-authorship network of co-authors of David P. Weliky

This figure shows the co-authorship network connecting the top 25 collaborators of David P. Weliky. A scholar is included among the top collaborators of David P. Weliky 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 David P. Weliky. David P. Weliky 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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