Michael Tigges

3.5k citations
26 papers · 1.2k · h-index 16

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Virology top 5%

Papers in

Michael Tigges

25 papers receiving 1.1k citations

Peers

Michael Tigges
Comparison fields: 5 of 84
  • Immunology 390
  • Virology 83
  • Epidemiology 460
  • Genetics 279
  • Aerospace Engineering 244
Replace K. Maeno with:
K. Maeno Japan
Takamasa Takeuchi Japan
James R. Fuller United States
Peter Wimmer Germany
Jingzhe Shang China
K Yoshiike Japan
Viera Ludvı́ková Czechia
Lichen Jing United States
P. M. Chesters United Kingdom
G. Milanesi Italy
Michael Tigges relative to K. Maeno Japan K. Maeno's profile →
Citations per field
00.5×3.9×
K. Maeno · 1×
Citations per year

Countries citing papers authored by Michael Tigges

Since Specialization
Citations

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

Fields of papers citing papers by Michael Tigges

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Tigges, 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 Tigges Line = papers co-authored together Michael Tigges links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989132
2 1993131
3 1996131
4 199295
5 198695
6 201583
7 199374
8 201674
9 197972
10 198460
11 199351
12 201029
13 199827
14 197626
15 198219
16
Numerical Skip-Entry Guidance
200615
17 197714
18 200412
19 198912
20 201610

About Michael Tigges

Michael Tigges is a scholar working on Genetics, Aerospace Engineering, Molecular Biology, Cardiology and Cardiovascular Medicine and Astronomy and Astrophysics, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Spacecraft Dynamics and Control (8 papers), Virus-based gene therapy research (8 papers), Herpesvirus Infections and Treatments (5 papers), Viral Infections and Immunology Research (5 papers), Space Satellite Systems and Control (5 papers), Astro and Planetary Science (4 papers), T-cell and B-cell Immunology (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Immunology (390 citations), Virology (83 citations), Epidemiology (460 citations), Genetics (279 citations) and Aerospace Engineering (244 citations). Michael Tigges has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Marian Elliott Koshland, Heschel J. Raskas, Robin Burke, Leslie S. Casey, Stephen E. Straus, Christopher J. Cerimele, Ping Lu, Sean X. Leng, David C. Johnson and Edgar L. Hill. Their work appears in journals such as Journal of Virology, Journal of Guidance Control and Dynamics, The Journal of Immunology, Blood and Journal of Immunological Methods.

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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