Marshall S. Padilla

37 total papers · 1.4k total citations
26 papers, 872 citations indexed

About

Marshall S. Padilla is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Marshall S. Padilla has authored 26 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Organic Chemistry. Recurrent topics in Marshall S. Padilla's work include RNA Interference and Gene Delivery (17 papers), Advanced biosensing and bioanalysis techniques (9 papers) and Lipid Membrane Structure and Behavior (6 papers). Marshall S. Padilla is often cited by papers focused on RNA Interference and Gene Delivery (17 papers), Advanced biosensing and bioanalysis techniques (9 papers) and Lipid Membrane Structure and Behavior (6 papers). Marshall S. Padilla collaborates with scholars based in United States, China and Brazil. Marshall S. Padilla's co-authors include Michael J. Mitchell, Sarah J. Shepherd, Kelsey L. Swingle, Drew Weissman, Karin Wang, Kaitlin Mrksich, Mohamad‐Gabriel Alameh, Xuexiang Han, Ajay S. Thatte and Margaret M. Billingsley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Marshall S. Padilla

25 papers receiving 864 citations

Hit Papers

Nanoparticle protein coro... 2022 2026 2023 2024 2023 2022 2023 2023 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Marshall S. Padilla 570 148 143 138 98 26 872
Alexandra S. Piotrowski-Daspit 620 1.1× 193 1.3× 180 1.3× 107 0.8× 106 1.1× 27 1.0k
Edward J. Sayers 706 1.2× 128 0.9× 162 1.1× 106 0.8× 95 1.0× 27 970
Timothy M. Jacobs 497 0.9× 111 0.8× 142 1.0× 98 0.7× 87 0.9× 28 796
Yonger Xue 547 1.0× 225 1.5× 159 1.1× 245 1.8× 128 1.3× 25 913
Min Liu 359 0.6× 140 0.9× 150 1.0× 109 0.8× 51 0.5× 38 874
Jilian R. Melamed 616 1.1× 174 1.2× 153 1.1× 118 0.9× 59 0.6× 22 859
Kamila Butowska 595 1.0× 117 0.8× 110 0.8× 153 1.1× 51 0.5× 14 808
Ladan Parhamifar 609 1.1× 206 1.4× 220 1.5× 146 1.1× 139 1.4× 31 1.0k
Pedro Pires Goulart Guimarães 499 0.9× 247 1.7× 235 1.6× 137 1.0× 91 0.9× 51 980
María L. Guevara 592 1.0× 193 1.3× 128 0.9× 306 2.2× 183 1.9× 36 1.0k

Countries citing papers authored by Marshall S. Padilla

Since Specialization
Citations

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

Fields of papers citing papers by Marshall S. Padilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marshall S. Padilla. 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 Marshall S. Padilla. The network helps show where Marshall S. Padilla may publish in the future.

Co-authorship network of co-authors of Marshall S. Padilla

This figure shows the co-authorship network connecting the top 25 collaborators of Marshall S. Padilla. A scholar is included among the top collaborators of Marshall S. Padilla 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 Marshall S. Padilla. Marshall S. Padilla 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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