Lisa N. Kasiewicz

8 total papers · 1.1k total citations
5 papers, 325 citations indexed

About

Lisa N. Kasiewicz is a scholar working on Molecular Biology, Rehabilitation and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Lisa N. Kasiewicz has authored 5 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Rehabilitation and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Lisa N. Kasiewicz's work include Wound Healing and Treatments (3 papers), Diabetic Foot Ulcer Assessment and Management (3 papers) and RNA Interference and Gene Delivery (2 papers). Lisa N. Kasiewicz is often cited by papers focused on Wound Healing and Treatments (3 papers), Diabetic Foot Ulcer Assessment and Management (3 papers) and RNA Interference and Gene Delivery (2 papers). Lisa N. Kasiewicz collaborates with scholars based in United States and India. Lisa N. Kasiewicz's co-authors include Kathryn A. Whitehead, Souvik Biswas, Ellen Rohde, Andrew M. Bellinger, Christopher H.K. Cheng, Sekar Kathiresan, Anne Marie Mazzola, Chaitali Dutta, Sara P. Garcia and Sowmya Iyer and has published in prestigious journals such as Nature Communications, Acta Biomaterialia and Nature Biomedical Engineering.

In The Last Decade

Lisa N. Kasiewicz

5 papers receiving 320 citations

Hit Papers

GalNAc-Lipid nanoparticle... 2023 2026 2024 2023 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Lisa N. Kasiewicz 147 132 89 70 40 5 325
Marcus Ivan Gerard Vos 92 0.6× 132 1.0× 106 1.2× 25 0.4× 68 1.7× 8 339
Jacqueline A. Burke 95 0.6× 118 0.9× 163 1.8× 26 0.4× 94 2.4× 9 355
Di Wang 93 0.6× 186 1.4× 38 0.4× 90 1.3× 13 0.3× 9 345
Ainur Kakpenova 62 0.4× 92 0.7× 64 0.7× 17 0.2× 36 0.9× 7 353
Panqin Ma 81 0.6× 144 1.1× 144 1.6× 43 0.6× 119 3.0× 11 356
Kuo Shen 102 0.7× 129 1.0× 102 1.1× 27 0.4× 56 1.4× 12 301
Yasser Almadani 84 0.6× 95 0.7× 40 0.4× 19 0.3× 19 0.5× 9 316
Antonio Lobao 129 0.9× 213 1.6× 49 0.6× 115 1.6× 24 0.6× 5 359
Eva K. Herter 133 0.9× 160 1.2× 42 0.5× 57 0.8× 8 0.2× 9 314
Marta Butrym 55 0.4× 81 0.6× 57 0.6× 14 0.2× 39 1.0× 11 253

Countries citing papers authored by Lisa N. Kasiewicz

Since Specialization
Citations

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

Fields of papers citing papers by Lisa N. Kasiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa N. Kasiewicz. 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 Lisa N. Kasiewicz. The network helps show where Lisa N. Kasiewicz may publish in the future.

Co-authorship network of co-authors of Lisa N. Kasiewicz

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa N. Kasiewicz. A scholar is included among the top collaborators of Lisa N. Kasiewicz 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 Lisa N. Kasiewicz. Lisa N. Kasiewicz 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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