Barbara Knapp

1.2k total citations
10 papers, 145 citations indexed

About

Barbara Knapp is a scholar working on Molecular Biology, Cell Biology and Immunology and Allergy. According to data from OpenAlex, Barbara Knapp has authored 10 papers receiving a total of 145 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Cell Biology and 3 papers in Immunology and Allergy. Recurrent topics in Barbara Knapp's work include Receptor Mechanisms and Signaling (4 papers), Cellular transport and secretion (4 papers) and Cell Adhesion Molecules Research (3 papers). Barbara Knapp is often cited by papers focused on Receptor Mechanisms and Signaling (4 papers), Cellular transport and secretion (4 papers) and Cell Adhesion Molecules Research (3 papers). Barbara Knapp collaborates with scholars based in Germany, Netherlands and France. Barbara Knapp's co-authors include Uwe Wolfrum, Karsten Boldt, Marius Ueffing, Nasrin Sorusch, Nicola Horn, A. Samanta, Kerstin Nagel‐Wolfrum, Gabriela Aust, Hannie Kremer and Ronald Roepman and has published in prestigious journals such as Annals of the New York Academy of Sciences, Human Molecular Genetics and Molecules.

In The Last Decade

Barbara Knapp

10 papers receiving 143 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Barbara Knapp Germany 7 114 39 35 30 22 10 145
Jennifer Lin‐Jones United States 9 198 1.7× 36 0.9× 23 0.7× 81 2.7× 26 1.2× 11 264
Lana M. Pollock United States 7 150 1.3× 74 1.9× 18 0.5× 40 1.3× 10 0.5× 10 221
Marta Spodenkiewicz France 5 79 0.7× 36 0.9× 17 0.5× 9 0.3× 25 1.1× 8 156
Michelle M. Simon United Kingdom 7 169 1.5× 50 1.3× 46 1.3× 11 0.4× 10 0.5× 15 253
Nicola Horn Germany 8 109 1.0× 11 0.3× 58 1.7× 35 1.2× 13 0.6× 11 151
Céline Poirsier France 5 64 0.6× 36 0.9× 29 0.8× 5 0.2× 14 0.6× 6 125
T.J.R. van de Pol Netherlands 8 195 1.7× 17 0.4× 55 1.6× 28 0.9× 35 1.6× 11 243
Lars Tebbe United States 8 145 1.3× 24 0.6× 26 0.7× 46 1.5× 36 1.6× 13 182
Annick Cabot France 5 167 1.5× 35 0.9× 52 1.5× 49 1.6× 16 0.7× 5 240
Qing Fu China 5 156 1.4× 16 0.4× 51 1.5× 25 0.8× 15 0.7× 7 180

Countries citing papers authored by Barbara Knapp

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Knapp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara Knapp

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Knapp. A scholar is included among the top collaborators of Barbara Knapp 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 Barbara Knapp. Barbara Knapp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Knapp, Barbara, et al.. (2023). Usher syndrome proteins ADGRV1 (USH2C) and CIB2 (USH1J) interact and share a common interactome containing TRiC/CCT-BBS chaperonins. Frontiers in Cell and Developmental Biology. 11. 1199069–1199069. 6 indexed citations
2.
Knapp, Barbara, Heiko Roedig, Nicola Horn, et al.. (2022). Affinity Proteomics Identifies Interaction Partners and Defines Novel Insights into the Function of the Adhesion GPCR VLGR1/ADGRV1. Molecules. 27(10). 3108–3108. 10 indexed citations
3.
Knapp, Barbara, Nicola Horn, Karsten Boldt, et al.. (2021). Adhesion G protein-coupled receptor VLGR1/ADGRV1 regulates cell spreading and migration by mechanosensing at focal adhesions. iScience. 24(4). 102283–102283. 28 indexed citations
4.
Sorusch, Nasrin, et al.. (2019). SANS (USH1G) Molecularly Links the Human Usher Syndrome Protein Network to the Intraflagellar Transport Module by Direct Binding to IFT-B Proteins. Frontiers in Cell and Developmental Biology. 7. 216–216. 7 indexed citations
5.
Knapp, Barbara, et al.. (2019). Affinity proteomics identifies novel functional modules related to adhesion GPCRs. Annals of the New York Academy of Sciences. 1456(1). 144–167. 14 indexed citations
7.
Sorusch, Nasrin, et al.. (2017). Characterization of the ternary Usher syndrome SANS/ush2a/whirlin protein complex. Human Molecular Genetics. 26(6). ddx027–ddx027. 40 indexed citations
8.
Knapp, Barbara & Uwe Wolfrum. (2016). Adhesion GPCR-Related Protein Networks. Handbook of experimental pharmacology. 234. 147–178. 18 indexed citations
9.
Wolfrum, Uwe, et al.. (2014). Phosphorylation of the Usher syndrome 1G protein SANS controls Magi2-mediated endocytosis. Investigative Ophthalmology & Visual Science. 55(13). 6016–6016. 1 indexed citations
10.
Knapp, Barbara, Ronald Roepman, Hannie Kremer, et al.. (2014). Phosphorylation of the Usher syndrome 1G protein SANS controls Magi2-mediated endocytosis. Human Molecular Genetics. 23(15). 3923–3942. 20 indexed citations

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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