Kathrin Welsch

1.0k total citations
8 papers, 734 citations indexed

About

Kathrin Welsch is a scholar working on Infectious Diseases, Epidemiology and Hepatology. According to data from OpenAlex, Kathrin Welsch has authored 8 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 3 papers in Epidemiology and 3 papers in Hepatology. Recurrent topics in Kathrin Welsch's work include SARS-CoV-2 and COVID-19 Research (3 papers), Hepatitis C virus research (3 papers) and Influenza Virus Research Studies (2 papers). Kathrin Welsch is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), Hepatitis C virus research (3 papers) and Influenza Virus Research Studies (2 papers). Kathrin Welsch collaborates with scholars based in Germany, United States and France. Kathrin Welsch's co-authors include Stefan Pöhlmann, Stephanie Bertram, Stefanie Gierer, Michael Winkler, Adeline Heurich, Heike Schneider, Ilona Glowacka, Heike Hofmann-Winkler, Ronald Dijkman and Volker Thiel and has published in prestigious journals such as Journal of Virology, PLoS Pathogens and Cell Reports.

In The Last Decade

Kathrin Welsch

8 papers receiving 718 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kathrin Welsch Germany 8 534 178 150 120 111 8 734
Amornrat O’Brien United States 12 495 0.9× 186 1.0× 77 0.5× 165 1.4× 150 1.4× 20 731
Oliver Wicht Netherlands 13 545 1.0× 308 1.7× 227 1.5× 146 1.2× 113 1.0× 14 825
Florian Wrensch Germany 14 496 0.9× 114 0.6× 273 1.8× 158 1.3× 240 2.2× 19 868
Ruth Elliott United States 15 598 1.1× 261 1.5× 114 0.8× 295 2.5× 338 3.0× 16 960
Diede Oudshoorn Netherlands 6 441 0.8× 165 0.9× 83 0.6× 163 1.4× 150 1.4× 6 644
Aimée St. Clair Tallarico United States 9 577 1.1× 194 1.1× 174 1.2× 273 2.3× 242 2.2× 10 995
Cong Zeng China 16 631 1.2× 148 0.8× 80 0.5× 285 2.4× 125 1.1× 35 928
Timothy H. P. Tan Singapore 15 633 1.2× 295 1.7× 143 1.0× 317 2.6× 112 1.0× 19 940
Ralf Bartenschlager Germany 7 333 0.6× 46 0.3× 261 1.7× 248 2.1× 168 1.5× 9 813
Xiaowang Qu China 15 660 1.2× 65 0.4× 309 2.1× 154 1.3× 131 1.2× 35 1.0k

Countries citing papers authored by Kathrin Welsch

Since Specialization
Citations

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

Fields of papers citing papers by Kathrin Welsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathrin Welsch

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

All Works

8 of 8 papers shown
1.
Montoya-Díaz, Eduardo, et al.. (2019). Yellow Fever: Integrating Current Knowledge with Technological Innovations to Identify Strategies for Controlling a Re-Emerging Virus. Viruses. 11(10). 960–960. 20 indexed citations
2.
Welsch, Kathrin, Wendy S. Weichert, Andrew B. Allison, et al.. (2018). Complex and Dynamic Interactions between Parvovirus Capsids, Transferrin Receptors, and Antibodies Control Cell Infection and Host Range. Journal of Virology. 92(13). 35 indexed citations
3.
Campe, Amely, Stephanie Wälter, Stephanie Pfaender, et al.. (2017). Frequent occurrence of nonprimate hepacivirus infections in Thoroughbred breeding horses – A cross-sectional study for the occurrence of infections and potential risk factors. Veterinary Microbiology. 203. 315–322. 19 indexed citations
4.
Vièyres, Gabrielle, Kathrin Welsch, Gisa Gerold, et al.. (2016). ABHD5/CGI-58, the Chanarin-Dorfman Syndrome Protein, Mobilises Lipid Stores for Hepatitis C Virus Production. PLoS Pathogens. 12(4). e1005568–e1005568. 26 indexed citations
5.
Gerold, Gisa, Felix Meissner, Janina Bruening, et al.. (2015). Quantitative Proteomics Identifies Serum Response Factor Binding Protein 1 as a Host Factor for Hepatitis C Virus Entry. Cell Reports. 12(5). 864–878. 49 indexed citations
6.
Zmora, Paweł, Paulina Błażejewska, Kathrin Welsch, et al.. (2014). DESC1 and MSPL Activate Influenza A Viruses and Emerging Coronaviruses for Host Cell Entry. Journal of Virology. 88(20). 12087–12097. 63 indexed citations
7.
Gierer, Stefanie, Stephanie Bertram, F.‐J. Kaup, et al.. (2013). The Spike Protein of the Emerging Betacoronavirus EMC Uses a Novel Coronavirus Receptor for Entry, Can Be Activated by TMPRSS2, and Is Targeted by Neutralizing Antibodies. Journal of Virology. 87(10). 5502–5511. 275 indexed citations
8.
Bertram, Stephanie, Ronald Dijkman, Matthias Habjan, et al.. (2013). TMPRSS2 Activates the Human Coronavirus 229E for Cathepsin-Independent Host Cell Entry and Is Expressed in Viral Target Cells in the Respiratory Epithelium. Journal of Virology. 87(11). 6150–6160. 247 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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2026