Lisa V. Reiter

16 total papers · 674 total citations
6 papers, 125 citations indexed

About

Lisa V. Reiter is a scholar working on Immunology, Dermatology and Automotive Engineering. According to data from OpenAlex, Lisa V. Reiter has authored 6 papers receiving a total of 125 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Immunology, 2 papers in Dermatology and 1 paper in Automotive Engineering. Recurrent topics in Lisa V. Reiter's work include Dermatology and Skin Diseases (2 papers), T-cell and B-cell Immunology (2 papers) and Monoclonal and Polyclonal Antibodies Research (1 paper). Lisa V. Reiter is often cited by papers focused on Dermatology and Skin Diseases (2 papers), T-cell and B-cell Immunology (2 papers) and Monoclonal and Polyclonal Antibodies Research (1 paper). Lisa V. Reiter collaborates with scholars based in United States, Austria and Hungary. Lisa V. Reiter's co-authors include Sheila M. F. Torres, Philip W. Wertz, Kerstin H. Mair, Maria Stadler, Tobias Käser, Andrea Ladinig, Wilhelm Gerner, I.M. Rodríguez-Gómez, Armin Saalmüller and Stephanie C. Talker and has published in prestigious journals such as Frontiers in Immunology, Veterinary Dermatology and Bioengineering.

In The Last Decade

Lisa V. Reiter

6 papers receiving 123 citations

Author Peers

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

Author Last Decade Papers Cites
Lisa V. Reiter 80 52 28 19 16 6 125
Taehun Park 172 2.1× 36 0.7× 22 0.8× 14 0.7× 83 5.2× 9 266
Keli Johnson 152 1.9× 88 1.7× 16 0.6× 20 1.1× 41 2.6× 5 210
S. Brinton 199 2.5× 96 1.8× 26 0.9× 20 1.1× 64 4.0× 6 278
Gregory Gottschlich 26 0.3× 69 1.3× 25 0.9× 11 0.6× 4 0.3× 6 223
Jean-Marc Ovigne 148 1.9× 41 0.8× 60 2.1× 8 0.4× 15 0.9× 6 225
D. A. Basketter 176 2.2× 64 1.2× 32 1.1× 5 0.3× 9 0.6× 6 233
Katrine Ross‐Hansen 216 2.7× 131 2.5× 31 1.1× 5 0.3× 11 0.7× 11 261
Erica Iioka 122 1.5× 9 0.2× 13 0.5× 10 0.5× 130 8.1× 8 277
Magdalena Iwan 24 0.3× 79 1.5× 3 0.1× 3 0.2× 84 5.3× 5 171
John F. Baines 60 0.8× 6 0.1× 33 1.2× 3 0.2× 33 2.1× 6 103

Countries citing papers authored by Lisa V. Reiter

Since Specialization
Citations

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

Fields of papers citing papers by Lisa V. Reiter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa V. Reiter

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