Christian Kandt
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 7
- Microbiology top 5%
- Molecular Biology top 10%
- Protein Structure and Dynamics 9
- Lipid Membrane Structure and Behavior 8
- DNA and Nucleic Acid Chemistry 4
- Oncology top 10%
- Drug Transport and Resistance Mechanisms 8
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- Photoreceptor and optogenetics research 3
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- Spectroscopy and Quantum Chemical Studies 6
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- Bacterial Genetics and Biotechnology 6
- Co-authors
- D. Peter TielemanThomas SchmidtZhitao XuMegan L. O’MaraAnastassiia MoussatovaJürgen SchlitterKlaus GerwertLuca Monticelli
- Journals
- Biophysical Journal (5 papers)Biochimica et Biophysica Acta (BBA) - Biomembranes (4 papers)Proteins Structure Function and Bioinformatics (3 papers)
- Partner nations
- GermanyCanadaSwitzerland
In The Last Decade
Christian Kandt
28 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 101
- Molecular Medicine 208
- Microbiology 109
- Molecular Biology 1.0k
- Oncology 246
- Cellular and Molecular Neuroscience 159
Countries citing papers authored by Christian Kandt
This map shows the geographic impact of Christian Kandt'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 Christian Kandt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Kandt more than expected).
Fields of papers citing papers by Christian Kandt
This network shows the impact of papers produced by Christian Kandt. 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 Christian Kandt. The network helps show where Christian Kandt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christian Kandt, 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 | 2016 | 34 | |
| 2 | 2016 | 5 | |
| 3 | 2014 | 16 | |
| 4 | 2014 | 20 | |
| 5 | 2013 | 38 | |
| 6 | 2012 | 42 | |
| 7 | 2012 | 1 | |
| 8 | 2012 | 3 | |
| 9 | 2012 | 102 | |
| 10 | 2011 | 29 | |
| 11 | 2011 | 1 | |
| 12 | 2011 | 45 | |
| 13 | 2010 | 11 | |
| 14 | 2009 | 26 | |
| 15 | 2007 | 43 | |
| 16 | 2007 | 86 | |
| 17 | 2007 | 3 | |
| 18 | 2004 | 72 | |
| 19 | 2004 | 1 | |
| 20 | 2004 | 29 |
About Christian Kandt
Christian Kandt is a scholar working on Molecular Medicine, Oncology, Molecular Biology, Genetics and Rheumatology, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Drug Transport and Resistance Mechanisms (8 papers), Lipid Membrane Structure and Behavior (8 papers), Antibiotic Resistance in Bacteria (7 papers), Spectroscopy and Quantum Chemical Studies (6 papers), Bacterial Genetics and Biotechnology (6 papers), DNA and Nucleic Acid Chemistry (4 papers) and Photoreceptor and optogenetics research (3 papers). The work is most often cited by research in Molecular Medicine (208 citations), Microbiology (109 citations), Molecular Biology (1.0k citations), Oncology (246 citations) and Cellular and Molecular Neuroscience (159 citations). Christian Kandt has collaborated with scholars based in Germany, Canada and Switzerland. Frequent co-authors include D. Peter Tieleman, Thomas Schmidt, Zhitao Xu, Megan L. O’Mara, Anastassiia Moussatova, Jürgen Schlitter, Klaus Gerwert, Luca Monticelli, Edit Mátyus and Justin L. MacCallum. Their work appears in journals such as Biophysical Journal, Biochimica et Biophysica Acta (BBA) - Biomembranes, Proteins Structure Function and Bioinformatics, Biochemistry and Scientific Reports.
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.