Svenja Hester

27 total papers · 1.1k total citations
14 papers, 728 citations indexed

About

Svenja Hester is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Physiology. According to data from OpenAlex, Svenja Hester has authored 14 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Physiology. Recurrent topics in Svenja Hester's work include Cancer Genomics and Diagnostics (3 papers), CRISPR and Genetic Engineering (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). Svenja Hester is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), CRISPR and Genetic Engineering (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). Svenja Hester collaborates with scholars based in United Kingdom, United States and Germany. Svenja Hester's co-authors include Kathryn S. Lilley, Philip D. Charles, Edward Hutchinson, Benjamin Thomas, David C. Trudgian, Mónica Martínez‐Alonso, Ervin Fodor, Jane E. SWATTON, Jeffrey Huang and Stephen J. Huffaker and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Journal of Neuroscience.

In The Last Decade

Svenja Hester

13 papers receiving 720 citations

Author Peers

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

Author Last Decade Papers Cites
Svenja Hester 376 186 135 110 102 14 728
Erick T. Tatro 361 1.0× 52 0.3× 93 0.7× 45 0.4× 86 0.8× 17 697
Iliana Barrera 339 0.9× 62 0.3× 49 0.4× 89 0.8× 73 0.7× 17 679
Simona Keller 513 1.4× 37 0.2× 96 0.7× 86 0.8× 68 0.7× 19 835
M.E. Truckenmiller 208 0.6× 158 0.8× 64 0.5× 311 2.8× 22 0.2× 28 764
Fernando A. Oliveira 378 1.0× 121 0.7× 52 0.4× 68 0.6× 22 0.2× 24 792
C Carelli 268 0.7× 79 0.4× 136 1.0× 171 1.6× 24 0.2× 33 829
Rodolphe Auger 335 0.9× 38 0.2× 141 1.0× 109 1.0× 50 0.5× 22 778
Yann Verdier 408 1.1× 81 0.4× 79 0.6× 96 0.9× 21 0.2× 23 885
Tess M. Eidem 289 0.8× 77 0.4× 51 0.4× 84 0.8× 47 0.5× 13 759
Maria Carmela Latella 303 0.8× 47 0.3× 143 1.1× 42 0.4× 23 0.2× 22 632

Countries citing papers authored by Svenja Hester

Since Specialization
Citations

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

Fields of papers citing papers by Svenja Hester

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Svenja Hester

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