Folker Schwalm

492 total citations
8 papers, 379 citations indexed

About

Folker Schwalm is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Folker Schwalm has authored 8 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 2 papers in Infectious Diseases and 2 papers in Molecular Biology. Recurrent topics in Folker Schwalm's work include Influenza Virus Research Studies (8 papers), Respiratory viral infections research (5 papers) and Viral gastroenteritis research and epidemiology (2 papers). Folker Schwalm is often cited by papers focused on Influenza Virus Research Studies (8 papers), Respiratory viral infections research (5 papers) and Viral gastroenteritis research and epidemiology (2 papers). Folker Schwalm collaborates with scholars based in Germany, United States and Hong Kong. Folker Schwalm's co-authors include Hans‐Dieter Klenk, Gülşah Gabriel, Wolfgang Garten, Eva Böttcher‐Friebertshäuser, Hans-Dieter Klenk, Peter S. Nelson, Géraldine Engels, Maya Hammami, Daniela Meyer and Yi Guan and has published in prestigious journals such as Journal of Virology, American Journal Of Pathology and Journal of General Virology.

In The Last Decade

Folker Schwalm

8 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Folker Schwalm Germany 7 270 146 95 84 75 8 379
Weinan Zheng China 13 255 0.9× 107 0.7× 206 2.2× 50 0.6× 235 3.1× 17 456
Cristian Cillóniz United States 9 404 1.5× 142 1.0× 320 3.4× 38 0.5× 95 1.3× 10 584
Pilar Blanco-Lobo Spain 10 169 0.6× 72 0.5× 125 1.3× 15 0.2× 37 0.5× 15 297
Arnab Basu United States 11 275 1.0× 173 1.2× 70 0.7× 9 0.1× 111 1.5× 13 473
Daniela Bernasconi Italy 11 159 0.6× 104 0.7× 270 2.8× 53 0.6× 88 1.2× 15 429
Y. Hirowatari Japan 8 321 1.2× 101 0.7× 41 0.4× 13 0.2× 152 2.0× 8 576
Katrin Högner Germany 3 204 0.8× 76 0.5× 199 2.1× 37 0.4× 98 1.3× 4 350
Timothy J.C. Tan United States 11 71 0.3× 169 1.2× 51 0.5× 8 0.1× 130 1.7× 23 292
J F Zagury France 8 73 0.3× 81 0.6× 153 1.6× 21 0.3× 82 1.1× 9 326
Rodrigo B. Abreu United States 10 180 0.7× 125 0.9× 125 1.3× 10 0.1× 77 1.0× 14 348

Countries citing papers authored by Folker Schwalm

Since Specialization
Citations

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

Fields of papers citing papers by Folker Schwalm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Folker Schwalm

This figure shows the co-authorship network connecting the top 25 collaborators of Folker Schwalm. A scholar is included among the top collaborators of Folker Schwalm 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 Folker Schwalm. Folker Schwalm 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.
Bertram, Stephanie, Swantje Thiele, Patricia Resa‐Infante, et al.. (2017). H7N9 Influenza A Virus Exhibits Importin-α7–Mediated Replication in the Mammalian Respiratory Tract. American Journal Of Pathology. 187(4). 831–840. 9 indexed citations
2.
Schwalm, Folker, et al.. (2015). Adaptive mutation PB2 D701N promotes nuclear import of influenza vRNPs in mammalian cells. European Journal of Cell Biology. 94(7-9). 368–374. 27 indexed citations
3.
Thiele, Swantje, et al.. (2015). PB2 subunit of avian influenza virus subtype H9N2: a pandemic risk factor. Journal of General Virology. 97(1). 39–48. 18 indexed citations
4.
Engels, Géraldine, Folker Schwalm, Peter S. Nelson, et al.. (2014). TMPRSS2 Is a Host Factor That Is Essential for Pneumotropism and Pathogenicity of H7N9 Influenza A Virus in Mice. Journal of Virology. 88(9). 4744–4751. 115 indexed citations
5.
Op, Zhirnov, et al.. (2014). [Pathogenic effect of pandemic influenza virus H1N1 under replication in cultures of human cells].. PubMed. 58(4). 20–8. 1 indexed citations
6.
Gerlach, Thomas, Lena Kühling, Jennifer Uhlendorff, et al.. (2012). Characterization of the neuraminidase of the H1N1/09 pandemic influenza virus. Vaccine. 30(51). 7348–7352. 20 indexed citations
7.
Meyer, Daniela, Maya Hammami, Folker Schwalm, et al.. (2012). Matriptase, HAT, and TMPRSS2 Activate the Hemagglutinin of H9N2 Influenza A Viruses. Journal of Virology. 87(3). 1811–1820. 104 indexed citations
8.
Seibert, Christopher W., Michael M. Kaminski, Dennis Rubbenstroth, et al.. (2010). Oseltamivir-Resistant Variants of the 2009 Pandemic H1N1 Influenza A Virus Are Not Attenuated in the Guinea Pig and Ferret Transmission Models. Journal of Virology. 84(21). 11219–11226. 85 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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