Jennifer Kasper

23 total papers · 1.0k total citations
22 papers, 793 citations indexed

About

Jennifer Kasper is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Biomaterials. According to data from OpenAlex, Jennifer Kasper has authored 22 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 6 papers in Molecular Biology and 6 papers in Biomaterials. Recurrent topics in Jennifer Kasper's work include Inhalation and Respiratory Drug Delivery (5 papers), Neonatal Respiratory Health Research (3 papers) and Protist diversity and phylogeny (2 papers). Jennifer Kasper is often cited by papers focused on Inhalation and Respiratory Drug Delivery (5 papers), Neonatal Respiratory Health Research (3 papers) and Protist diversity and phylogeny (2 papers). Jennifer Kasper collaborates with scholars based in Germany, United States and Australia. Jennifer Kasper's co-authors include C. James Kirkpatrick, Ronald E. Unger, Maria Iris Hermanns, Christine Pohl, Christoph Bantz, Michael Maskos, Kirsty R. Short, Susanne Herold, Montserrat Bárcena and Dana Scott and has published in prestigious journals such as PLoS ONE, Neurology and International Journal of Molecular Sciences.

In The Last Decade

Jennifer Kasper

21 papers receiving 777 citations

Author Peers

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

Author Last Decade Papers Cites
Jennifer Kasper 189 186 157 138 123 22 793
Cristiane de Souza Carvalho‐Wodarz 189 1.0× 193 1.0× 130 0.8× 73 0.5× 60 0.5× 22 626
Andreia S. Azevedo 253 1.3× 99 0.5× 175 1.1× 101 0.7× 59 0.5× 33 662
Angeline E. Warner 141 0.7× 182 1.0× 50 0.3× 101 0.7× 36 0.3× 30 837
Mahnaz Ramezanpour 199 1.1× 95 0.5× 105 0.7× 68 0.5× 52 0.4× 52 833
Fabian Herzog 151 0.8× 72 0.4× 123 0.8× 59 0.4× 349 2.8× 7 765
Shenggang Ding 271 1.4× 80 0.4× 168 1.1× 76 0.6× 81 0.7× 42 869
William J. Kelley 184 1.0× 77 0.4× 105 0.7× 50 0.4× 55 0.4× 16 625
Jia‐Wei Yang 114 0.6× 231 1.2× 246 1.6× 115 0.8× 93 0.8× 40 746
Katherine S. Walters 264 1.4× 108 0.6× 116 0.7× 144 1.0× 193 1.6× 20 839
Filipa Lebre 217 1.1× 38 0.2× 242 1.5× 73 0.5× 95 0.8× 25 763

Countries citing papers authored by Jennifer Kasper

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Kasper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer Kasper. 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 Jennifer Kasper. The network helps show where Jennifer Kasper may publish in the future.

Co-authorship network of co-authors of Jennifer Kasper

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Kasper. A scholar is included among the top collaborators of Jennifer Kasper 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 Jennifer Kasper. Jennifer Kasper 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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