Michael F.G. Schmidt

4.5k citations
85 papers · 3.8k indexed · h-index 37

Michael F.G. Schmidt

85 papers receiving 3.5k citations

Peers

Michael F.G. Schmidt
Comparison fields: 5 of 115
  • Animal Science and Zoology 370
  • Molecular Biology 2.2k
  • Virology 128
  • Cell Biology 434
  • Infectious Diseases 483
Replace Heng Fong Seow with:
Heng Fong Seow Malaysia
Bożena Korczak Switzerland
Joan Burnside United States
Alex Bollen Belgium
K.E. Ebner United States
Thomas S. Vedvick United States
Pamela A. Wearsch United States
Kohji Moriishi Japan
Tao Peng China
Jade K. Forwood Australia
Michael F.G. Schmidt relative to Heng Fong Seow Malaysia Heng Fong Seow's profile →
Citations per field
00.5×3.5×
Heng Fong Seow · 1×
Citations per year

Countries citing papers authored by Michael F.G. Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Michael F.G. Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Michael F.G. Schmidt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael F.G. Schmidt Line = papers co-authored together Michael F.G. Schmidt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201364
2 201119
3 200826
4 200814
5 200824
6
Palmitoylation of influenza virus proteins.
20078
7 200749
8
Idiopathic immune-mediated polyarthritis type I in dog: occurrence, clinical findings, laboratory results, therapy and outcome of 16 cases (1996-2000)
20053
9 2005173
10 200327
11 200245
12 20014
13 200113
14 200015
15 20009
16 199845
17 19963
18 199625
19 19962
20 199522

About Michael F.G. Schmidt

Michael F.G. Schmidt is a scholar working on Microbiology, Infectious Diseases, Immunology and Allergy, Rheumatology and Immunology, having authored 85 papers that have together received 3.8k indexed citations. Recurring topics across this work include Virus-based gene therapy research (14 papers), Influenza Virus Research Studies (14 papers), Glycosylation and Glycoproteins Research (11 papers), Osteoarthritis Treatment and Mechanisms (10 papers), Viral gastroenteritis research and epidemiology (9 papers), RNA and protein synthesis mechanisms (8 papers), Viral Infectious Diseases and Gene Expression in Insects (8 papers) and Mosquito-borne diseases and control (7 papers). The work is most often cited by research in Animal Science and Zoology (370 citations), Molecular Biology (2.2k citations), Virology (128 citations), Cell Biology (434 citations) and Infectious Diseases (483 citations). Michael F.G. Schmidt has collaborated with scholars based in Germany, United States and Kuwait. Frequent co-authors include Milton J. Schlesinger, Ralph Τ. Schwarz, Michael Veit, Christoph Scholtissek, Evgeni Ponimaskin, Michael Berger, Lydia Scharek, R. Rott, Hans‐Dieter Klenk and G. Kaluza. Their work appears in journals such as FEBS Letters, Journal of Virology, Virology, Journal of Biological Chemistry and Veterinary Immunology and Immunopathology.

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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