Danielle L. Leiske

31 total papers · 640 total citations
20 papers, 521 citations indexed

About

Danielle L. Leiske is a scholar working on Molecular Biology, Organic Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Danielle L. Leiske has authored 20 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Organic Chemistry and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Danielle L. Leiske's work include Surfactants and Colloidal Systems (8 papers), Protein purification and stability (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Danielle L. Leiske is often cited by papers focused on Surfactants and Colloidal Systems (8 papers), Protein purification and stability (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Danielle L. Leiske collaborates with scholars based in United States, India and Belgium. Danielle L. Leiske's co-authors include Gerald G. Fuller, Ian C. Shieh, Howard A. Ketelson, Michael F. Toney, Liat Rosenfeld, Colin Cerretani, Clayton J. Radke, Aadithya Kannan, Michelle Senchyna and Cleo M. Salisbury and has published in prestigious journals such as Langmuir, Analytical Biochemistry and Biophysical Journal.

In The Last Decade

Danielle L. Leiske

18 papers receiving 513 citations

Author Peers

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

Author Last Decade Papers Cites
Danielle L. Leiske 200 177 137 121 99 20 521
Arthur Yang 160 0.8× 111 0.6× 60 0.4× 74 0.6× 170 1.7× 19 498
Daniela Alejandra Quinteros 148 0.7× 126 0.7× 61 0.4× 54 0.4× 283 2.9× 32 586
Santiago D. Palma 80 0.4× 118 0.7× 72 0.5× 44 0.4× 114 1.2× 36 524
Luis Ignacio Tártara 162 0.8× 118 0.7× 74 0.5× 79 0.7× 223 2.3× 23 534
Xurxo García‐Otero 196 1.0× 144 0.8× 30 0.2× 126 1.0× 269 2.7× 23 592
Antonio López‐Alemany 370 1.9× 26 0.1× 71 0.5× 165 1.4× 117 1.2× 17 522
Elisa Elizondo 29 0.1× 216 1.2× 74 0.5× 23 0.2× 108 1.1× 17 586
José Mário Carneiro Vilela 59 0.3× 171 1.0× 59 0.4× 28 0.2× 81 0.8× 35 562
Yichi Chen 47 0.2× 135 0.8× 92 0.7× 53 0.4× 21 0.2× 22 532
Mohammad Azharuddin 57 0.3× 151 0.9× 47 0.3× 39 0.3× 23 0.2× 25 597

Countries citing papers authored by Danielle L. Leiske

Since Specialization
Citations

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

Fields of papers citing papers by Danielle L. Leiske

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle L. Leiske. 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 Danielle L. Leiske. The network helps show where Danielle L. Leiske may publish in the future.

Co-authorship network of co-authors of Danielle L. Leiske

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle L. Leiske. A scholar is included among the top collaborators of Danielle L. Leiske 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 Danielle L. Leiske. Danielle L. Leiske 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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