Cara Van Uden

9 total papers · 693 total citations
2 papers, 245 citations indexed

About

Cara Van Uden is a scholar working on Molecular Biology, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Cara Van Uden has authored 2 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in Cara Van Uden's work include Biomedical Text Mining and Ontologies (2 papers), Topic Modeling (2 papers) and Natural Language Processing Techniques (1 paper). Cara Van Uden is often cited by papers focused on Biomedical Text Mining and Ontologies (2 papers), Topic Modeling (2 papers) and Natural Language Processing Techniques (1 paper). Cara Van Uden collaborates with scholars based in United States, Switzerland and Canada. Cara Van Uden's co-authors include Christian Bluethgen, Dave Van Veen, Anuj Pareek, Malgorzata Polacin, Jean-Benoit Delbrouck, John M. Pauly, Curtis P. Langlotz, Akshay Chaudhari, Neera Ahuja and Nidhi Rohatgi and has published in prestigious journals such as Nature Medicine.

In The Last Decade

Cara Van Uden

2 papers receiving 239 citations

Hit Papers

Adapted large language mo... 2024 2026 2024 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Cara Van Uden 136 109 54 34 22 2 245
Asad Aali 128 0.9× 102 0.9× 53 1.0× 33 1.0× 23 1.0× 6 247
Dave Van Veen 151 1.1× 114 1.0× 59 1.1× 34 1.0× 23 1.0× 10 329
Benjamin Kompa 124 0.9× 71 0.7× 59 1.1× 30 0.9× 16 0.7× 8 325
Iain B. McInnes 93 0.7× 87 0.8× 47 0.9× 22 0.6× 18 0.8× 3 293
Liyan Tang 168 1.2× 160 1.5× 105 1.9× 34 1.0× 20 0.9× 10 324
Shan Chen 104 0.8× 84 0.8× 39 0.7× 25 0.7× 32 1.5× 9 214
Karlie R. Sharma 83 0.6× 84 0.8× 36 0.7× 63 1.9× 25 1.1× 7 261
Mathias Vassard Olsen 152 1.1× 64 0.6× 52 1.0× 17 0.5× 37 1.7× 5 310
Ruilong Dan 148 1.1× 102 0.9× 48 0.9× 26 0.8× 24 1.1× 2 239
Amin Dada 80 0.6× 102 0.9× 42 0.8× 18 0.5× 12 0.5× 9 177

Countries citing papers authored by Cara Van Uden

Since Specialization
Citations

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

Fields of papers citing papers by Cara Van Uden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cara Van Uden. 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 Cara Van Uden. The network helps show where Cara Van Uden may publish in the future.

Co-authorship network of co-authors of Cara Van Uden

This figure shows the co-authorship network connecting the top 25 collaborators of Cara Van Uden. A scholar is included among the top collaborators of Cara Van Uden 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 Cara Van Uden. Cara Van Uden 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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