Lisa D. Urness

33 total papers · 4.0k total citations
22 papers, 2.4k citations indexed

About

Lisa D. Urness is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Lisa D. Urness has authored 22 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Surgery. Recurrent topics in Lisa D. Urness's work include Fibroblast Growth Factor Research (6 papers), Congenital Diaphragmatic Hernia Studies (4 papers) and Axon Guidance and Neuronal Signaling (4 papers). Lisa D. Urness is often cited by papers focused on Fibroblast Growth Factor Research (6 papers), Congenital Diaphragmatic Hernia Studies (4 papers) and Axon Guidance and Neuronal Signaling (4 papers). Lisa D. Urness collaborates with scholars based in United States, Poland and India. Lisa D. Urness's co-authors include Dean Y. Li, Lise K. Sorensen, Benjamin S. Brooke, Carl S. Thummel, Elaine C. Davis, D TAYLOR, Suzanne L. Mansour, Chi‐Bin Chien, Kye Won Park and Christopher A. Jones and has published in prestigious journals such as Science, Cell and Journal of Biological Chemistry.

In The Last Decade

Lisa D. Urness

21 papers receiving 2.3k citations

Hit Papers

Defective Angiogenesis in... 1999 2026 2008 2017 1999 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Lisa D. Urness 1.6k 584 334 330 307 22 2.4k
Norm Allaire 1.1k 0.7× 772 1.3× 187 0.6× 385 1.2× 142 0.5× 39 3.0k
Luke T. Krebs 2.3k 1.5× 395 0.7× 133 0.4× 186 0.6× 360 1.2× 22 3.1k
Alar Karis 2.0k 1.3× 480 0.8× 206 0.6× 151 0.5× 256 0.8× 33 3.3k
Michael G. Poulos 1.5k 0.9× 462 0.8× 297 0.9× 101 0.3× 357 1.2× 32 2.3k
Elisabeth Raschperger 1.4k 0.9× 209 0.4× 162 0.5× 293 0.9× 306 1.0× 17 3.1k
Diana L. Clarke 1.1k 0.7× 843 1.4× 398 1.2× 95 0.3× 215 0.7× 17 2.5k
Jeanette M. Cunningham 1.9k 1.2× 600 1.0× 180 0.5× 107 0.3× 630 2.1× 18 3.1k
Jack T. Mosher 1.1k 0.7× 399 0.7× 177 0.5× 112 0.3× 231 0.8× 19 2.1k
Joseph H. McCarty 1.3k 0.8× 404 0.7× 145 0.4× 251 0.8× 544 1.8× 54 2.6k
R. Toro 1.1k 0.7× 376 0.6× 211 0.6× 125 0.4× 214 0.7× 25 2.0k

Countries citing papers authored by Lisa D. Urness

Since Specialization
Citations

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

Fields of papers citing papers by Lisa D. Urness

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa D. Urness

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