Michael Pech
- Immunology top 5%
- Immunodeficiency and Autoimmune Disorders 3
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research 4
- Molecular Biology top 5%
- Viral Infectious Diseases and Gene Expression in Insects 6
- Connective Tissue Growth Factor Research 4
- PI3K/AKT/mTOR signaling in cancer 4
- Glycosylation and Glycoproteins Research 3
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- Monoclonal and Polyclonal Antibodies Research 11
- Genetics top 10%
- Virus-based gene therapy research 4
- Co-authors
- Hans G. ZachauStuart A. AaronsonKeith C. RobbinsC D RaoEdouard BattegayJ. RuppM. Luisa Iruela‐ArispeE. Helene Sage
- Journals
- Nucleic Acids Research (4 papers)Molecular and Cellular Biology (4 papers)Journal of Molecular Biology (3 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Michael Pech
35 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 104
- Immunology 483
- Immunology and Allergy 130
- Molecular Biology 1.4k
- Radiology, Nuclear Medicine and Imaging 452
- Genetics 142
Countries citing papers authored by Michael Pech
This map shows the geographic impact of Michael Pech'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 Pech with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Pech more than expected).
Fields of papers citing papers by Michael Pech
This network shows the impact of papers produced by Michael Pech. 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 Pech. The network helps show where Michael Pech may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Pech, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 12 | |
| 2 | 2004 | 53 | |
| 3 | 2000 | 32 | |
| 4 | 2000 | 111 | |
| 5 | 1999 | 8 | |
| 6 | A quantitative method for determination of endothelial mRNA expression in vivo: induction of platelet-derived growth factor by endotoxin. | 1998 | 3 |
| 7 | 1997 | 275 | |
| 8 | 1993 | 24 | |
| 9 | 1991 | 70 | |
| 10 | 1990 | 12 | |
| 11 | 1989 | 10 | |
| 12 | 1988 | 77 | |
| 13 | 1988 | 12 | |
| 14 | 1988 | 88 | |
| 15 | 1988 | 161 | |
| 16 | 1986 | 1 | |
| 17 | 1986 | 9 | |
| 18 | [How do antibodies form? (9th Fritz Lipmann Lecture)]. | 1984 | 3 |
| 19 | 1984 | 89 | |
| 20 | 1981 | 142 |
About Michael Pech
Michael Pech is a scholar working on Immunology and Allergy, Radiology, Nuclear Medicine and Imaging, Immunology, Molecular Biology and Genetics, having authored 35 papers that have together received 2.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (11 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Virus-based gene therapy research (4 papers), Connective Tissue Growth Factor Research (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Cell Adhesion Molecules Research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). The work is most often cited by research in Immunology (483 citations), Immunology and Allergy (130 citations), Molecular Biology (1.4k citations), Radiology, Nuclear Medicine and Imaging (452 citations) and Genetics (142 citations). Michael Pech has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Hans G. Zachau, Stuart A. Aaronson, Keith C. Robbins, C D Rao, Edouard Battegay, J. Rupp, M. Luisa Iruela‐Arispe, E. Helene Sage, Morris J. Karnovsky and Rolf E. Streeck. Their work appears in journals such as Nucleic Acids Research, Molecular and Cellular Biology, Journal of Molecular Biology, FEBS Letters and Proceedings of the National Academy of Sciences.
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.