Michael Kirchgesser
- Hematology top 5%
- Molecular Biology
- Genetics top 10%
- Oncology
- Cancer Research
- Co-authors
- K. OlekR. SchwaabChristian MeyerH.H. BrackmannAstrid HaackEdward G. D. TuddenhamJohannes OldenburgJ.-P. Faber
- Topics
- Bacteriophages and microbial interactions (2 papers)Molecular Biology Techniques and Applications (2 papers)Biochemical and Molecular Research (2 papers)
- Cited by
- HematologyGeneticsCancer Research
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Michael Kirchgesser
10 papers receiving 474 citations
Peers
Comparison fields: 5 of 55
- Hematology 299
- Molecular Biology 164
- Genetics 116
- Oncology 82
- Cancer Research 70
Countries citing papers authored by Michael Kirchgesser
This map shows the geographic impact of Michael Kirchgesser'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 Kirchgesser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Kirchgesser more than expected).
Fields of papers citing papers by Michael Kirchgesser
This network shows the impact of papers produced by Michael Kirchgesser. 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 Kirchgesser. The network helps show where Michael Kirchgesser may publish in the future.
Co-authorship network of co-authors of Michael Kirchgesser
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Kirchgesser. A scholar is included among the top collaborators of Michael Kirchgesser 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 Kirchgesser. Michael Kirchgesser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Automated Rapid Isolation of Bacterial DNA from Various Samples Using the MagNA Pure Compact System | 1 |
| 2 | NEW: MagNA Pure LC DNA Isolation Kit III (Bacteria, Fungi) - Automated Isolation of Bacterial DNA from Various Sample Materials | 1 |
| 3 | MagNA Pure LC: Evaluation as a Sample Preparation System for the LightCycler Instrument | 0 |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 86 | |
| 7 | 252 | |
| 8 | Identification and DNA sequence analysis of 15 new alpha 1-antitrypsin variants, including two PI*Q0 alleles and one deficient PI*M allele. | 53 |
| 9 | 80 | |
| 10 | 10 | |
| 11 | Acid nucleoside triphosphatase: partial purification and characterization of a new enzyme from human serum. | 3 |
About Michael Kirchgesser
Michael Kirchgesser is a scholar working on Physiology, Endocrinology and Cancer Research, having authored 11 papers that have together received 498 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (2 papers), Molecular Biology Techniques and Applications (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Hematology (299 citations), Genetics (116 citations) and Cancer Research (70 citations). Michael Kirchgesser has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include K. Olek, R. Schwaab, Christian Meyer, H.H. Brackmann, Astrid Haack, Edward G. D. Tuddenham, Johannes Oldenburg, J.-P. Faber, Stephan Weidinger and Wolfgang Poller. Their work appears in journals such as Thrombosis and Haemostasis, Genomics and Human Gene Therapy.
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.