Ina Koch
Impact in
- Transplantation top 2%
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Gene Regulatory Network Analysis 30
- Microbial Metabolic Engineering and Bioproduction 26
- Bioinformatics and Genomic Networks 24
- Protein Structure and Dynamics 16
-
- Radiomics and Machine Learning in Medical Imaging 10
- Co-authors
- Monika Heiner (10 shared papers)Jörg Ackermann (40 shared papers)Andrea Sackmann (3 shared papers)Thomas Lengauer (2 shared papers)Oliver Burk (1 shared paper)Jürgen Brockmöller (1 shared paper)Ulrich M. Zanger (1 shared paper)Leszek Wojnowski (1 shared paper)
- Journals
- Bioinformatics (13 papers)BMC Bioinformatics (7 papers)PLoS Computational Biology (4 papers)PLoS ONE (4 papers)Biosystems (3 papers)
- Partner nations
- GermanyLuxembourgUnited States
In The Last Decade
Ina Koch
102 papers receiving 3.2k citations
Ina Koch's Hit Papers
Peers
Comparison fields: 5 of 163
- Transplantation 160
- Pharmacology 373
- Molecular Biology 2.1k
- Computational Theory and Mathematics 325
- Aging 36
Countries citing papers authored by Ina Koch
This map shows the geographic impact of Ina Koch'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 Ina Koch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ina Koch more than expected).
Fields of papers citing papers by Ina Koch
This network shows the impact of papers produced by Ina Koch. 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 Ina Koch. The network helps show where Ina Koch may publish in the future.
Co-authors
The 25 scholars most cited alongside Ina Koch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The genetic determinants of the CYP3A5 polymorphism Hit paper breakdown → | 2001 | 560 |
| 2 | 2012 | 224 | |
| 3 | 2015 | 206 | |
| 4 | 2003 | 176 | |
| 5 | 2001 | 149 | |
| 6 | 2002 | 143 | |
| 7 | 2006 | 129 | |
| 8 | 2004 | 91 | |
| 9 | 1996 | 89 | |
| 10 | 2004 | 81 | |
| 11 | Steady state analysis of metabolic pathways using Petri nets. | 2003 | 77 |
| 12 | 2014 | 71 | |
| 13 | 2010 | 67 | |
| 14 | 2014 | 63 | |
| 15 | 2008 | 55 | |
| 16 | 2013 | 54 | |
| 17 | 2008 | 52 | |
| 18 | 2006 | 44 | |
| 19 | 2006 | 44 | |
| 20 | 1992 | 42 |
About Ina Koch
Ina Koch is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Materials Chemistry, Biomedical Engineering and Artificial Intelligence, having authored 107 papers that have together received 3.3k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (30 papers), Microbial Metabolic Engineering and Bioproduction (26 papers), Bioinformatics and Genomic Networks (24 papers), Protein Structure and Dynamics (16 papers), Enzyme Structure and Function (15 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Advanced X-ray and CT Imaging (7 papers) and AI in cancer detection (7 papers). The work is most often cited by research in Transplantation (160 citations), Pharmacology (373 citations), Molecular Biology (2.1k citations), Computational Theory and Mathematics (325 citations) and Aging (36 citations). Ina Koch has collaborated with scholars based in Germany, Luxembourg and United States. Frequent co-authors include Monika Heiner, Jörg Ackermann, Andrea Sackmann, Thomas Lengauer, Oliver Burk, Jürgen Brockmöller, Ulrich M. Zanger, Leszek Wojnowski, Elisabeth Hustert and Kathrin Klein. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, PLoS Computational Biology, PLoS ONE and Biosystems.
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.