Michael Veit

5.7k total citations
128 papers, 4.3k citations indexed

About

Michael Veit is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Michael Veit has authored 128 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 63 papers in Epidemiology and 35 papers in Infectious Diseases. Recurrent topics in Michael Veit's work include Influenza Virus Research Studies (53 papers), Lipid Membrane Structure and Behavior (26 papers) and Viral gastroenteritis research and epidemiology (23 papers). Michael Veit is often cited by papers focused on Influenza Virus Research Studies (53 papers), Lipid Membrane Structure and Behavior (26 papers) and Viral gastroenteritis research and epidemiology (23 papers). Michael Veit collaborates with scholars based in Germany, China and United States. Michael Veit's co-authors include Michael F.G. Schmidt, Bastian Thaa, Andreas Herrmann, Shuo Su, Larisa V. Kordyukova, Klaus Fiedler, Mark A. Stamnes, James E. Rothman, Marina V. Serebryakova and James E. Rothman and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Michael Veit

123 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Veit Germany 38 2.2k 1.4k 1.0k 911 535 128 4.3k
David F. Burke United Kingdom 33 2.2k 1.0× 2.6k 1.9× 1.1k 1.0× 459 0.5× 193 0.4× 64 5.3k
Richard K. Plemper United States 46 2.1k 0.9× 3.5k 2.6× 1.9k 1.8× 1.3k 1.4× 370 0.7× 128 6.4k
Sebastian Maurer‐Stroh Singapore 55 5.0k 2.2× 1.9k 1.4× 2.0k 1.9× 897 1.0× 297 0.6× 175 9.3k
Núria Verdaguer Spain 37 2.1k 0.9× 597 0.4× 727 0.7× 336 0.4× 333 0.6× 105 4.0k
Ming Luo United States 46 3.6k 1.6× 2.7k 2.0× 2.2k 2.1× 480 0.5× 971 1.8× 203 8.5k
Marc Jamin France 37 2.0k 0.9× 925 0.7× 611 0.6× 582 0.6× 151 0.3× 84 3.9k
Fredric S. Cohen United States 34 3.0k 1.3× 861 0.6× 782 0.7× 642 0.7× 93 0.2× 67 4.5k
Marjolein Kikkert Netherlands 36 1.9k 0.8× 968 0.7× 2.6k 2.5× 970 1.1× 1.0k 1.9× 69 5.7k
N Gay United Kingdom 31 4.3k 1.9× 1.5k 1.1× 640 0.6× 419 0.5× 208 0.4× 47 7.4k
Aleem Siddiqui United States 55 4.2k 1.9× 4.8k 3.5× 1.0k 1.0× 992 1.1× 420 0.8× 106 9.3k

Countries citing papers authored by Michael Veit

Since Specialization
Citations

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

Fields of papers citing papers by Michael Veit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Veit

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

All Works

20 of 20 papers shown
2.
Zhai, Xiaofeng, Xiaoling Li, Michael Veit, et al.. (2024). LDLR is used as a cell entry receptor by multiple alphaviruses. Nature Communications. 15(1). 622–622. 19 indexed citations
3.
Zhao, Jin, Hongyan Wu, Bowen Sun, et al.. (2023). Risk assessment of SARS-CoV-2 replicating and evolving in animals. Trends in Microbiology. 32(1). 79–92. 4 indexed citations
4.
He, Wanting, Dongyan Li, Guy Baele, et al.. (2023). Newly identified lineages of porcine hemagglutinating encephalomyelitis virus exhibit respiratory phenotype. Virus Evolution. 9(2). vead051–vead051. 7 indexed citations
5.
Veit, Michael, et al.. (2023). Palmitoylation of the hemagglutinin of influenza B virus by ER-localized DHHC enzymes 1, 2, 4, and 6 is required for efficient virus replication. Journal of Virology. 97(10). e0124523–e0124523. 4 indexed citations
6.
Tian, Jin, Jiumeng Sun, Dongyan Li, et al.. (2022). Emerging viruses: Cross-species transmission of coronaviruses, filoviruses, henipaviruses, and rotaviruses from bats. Cell Reports. 39(11). 110969–110969. 45 indexed citations
7.
Sun, Jiumeng, Wan-Ting He, Lifang Wang, et al.. (2020). COVID-19: Epidemiology, Evolution, and Cross-Disciplinary Perspectives. Trends in Molecular Medicine. 26(5). 483–495. 434 indexed citations
8.
Zhang, Minze, Ludwig Krabben, Fangkun Wang, & Michael Veit. (2018). Glycoprotein 3 of Porcine Reproductive and Respiratory Syndrome Virus Exhibits an Unusual Hairpin-Like Membrane Topology. Journal of Virology. 92(15). 11 indexed citations
9.
Schmitt, Franz‐Josef, et al.. (2014). eGFP-pHsens as a highly sensitive fluorophore for cellular pH determination by fluorescence lifetime imaging microscopy (FLIM). Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1837(9). 1581–1593. 37 indexed citations
11.
Kordyukova, Larisa V., Marina V. Serebryakova, Anton A. Polyansky, et al.. (2011). Linker and/or transmembrane regions of influenza A/Group-1, A/Group-2, and type B virus hemagglutinins are packed differently within trimers. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1808(7). 1843–1854. 35 indexed citations
12.
Nikolaus, Jörg, Silvia Scolari, Elisa Bayraktarov, et al.. (2010). Hemagglutinin of Influenza Virus Partitions into the Nonraft Domain of Model Membranes. Biophysical Journal. 99(2). 489–498. 48 indexed citations
13.
Thaa, Bastian, Klaus Peter Hofmann, & Michael Veit. (2010). Viruses as vesicular carriers of the viral genome: A functional module perspective. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1803(4). 507–519. 6 indexed citations
14.
Veit, Michael & Michael F.G. Schmidt. (2007). Palmitoylation of influenza virus proteins.. PubMed. 119(3-4). 112–22. 8 indexed citations
15.
Korte, Thomas, Susanne Hollmann, Marcel Nordhoff, et al.. (2005). Intracellular interaction between syntaxin and Munc 18-1 revealed by fluorescence resonance energy transfer. Molecular Membrane Biology. 22(5). 401–410. 5 indexed citations
16.
Veit, Michael. (2004). The human SNARE protein Ykt6 mediates its own palmitoylation at C-terminal cysteine residues. Biochemical Journal. 384(2). 233–237. 19 indexed citations
17.
Wondimu, Assefa, Michael Veit, Barbara Kohn, et al.. (2001). MOLECULAR CLONING, EXPRESSION AND CHARACTERIZATION OF THE CANIS FAMILIARIS INTERLEUKIN-4. Cytokine. 16(3). 88–92. 13 indexed citations
18.
Veit, Michael, et al.. (1997). Fre2, a proviral integration site of Friend murine leukemia virus that is closely linked to Fv2. Leukemia. 11(5). 619–623. 1 indexed citations
19.
Veit, Michael, et al.. (1996). Intracellular compartmentalization of the glycoprotein B of herpesvirus Simian agent 8 expressed with a baculovirus vector in insect cells. Archives of Virology. 141(10). 2009–2017. 3 indexed citations
20.
Schroth‐Diez, Britta, et al.. (1995). Assessment of Fusogenic Properties of Influenza Virus Hemagglutinin Deacylated by Site-Directed Mutagenesis and Hydroxylamine Treatment. Virology. 210(1). 20–28. 22 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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