Johannes Schuchhardt
- Molecular Biology top 1%
- Gene expression and cancer classification 13
- RNA and protein synthesis mechanisms 9
- Bioinformatics and Genomic Networks 8
- Machine Learning in Bioinformatics 6
- Metabolomics and Mass Spectrometry Studies 5
- Spectroscopy top 1%
- Advanced Proteomics Techniques and Applications 9
- Aging top 5%
- Cancer Research top 5%
- Cell Biology top 2%
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- Alzheimer's disease research and treatments 11
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- Dementia and Cognitive Impairment Research 9
- Co-authors
- Dorothea BusseJana WolfNa LiGunnar DittmarMatthias SelbachWei ChenBjörn SchwanhäußerGisbert Schneider
- Cited by
- Molecular BiologySpectroscopyAging
- Partner nations
- GermanyUnited StatesPortugal
In The Last Decade
Johannes Schuchhardt
60 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Molecular Biology 4.5k
- Spectroscopy 707
- Aging 61
- Cancer Research 489
- Cell Biology 472
Countries citing papers authored by Johannes Schuchhardt
This map shows the geographic impact of Johannes Schuchhardt'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 Johannes Schuchhardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johannes Schuchhardt more than expected).
Fields of papers citing papers by Johannes Schuchhardt
This network shows the impact of papers produced by Johannes Schuchhardt. 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 Johannes Schuchhardt. The network helps show where Johannes Schuchhardt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Johannes Schuchhardt, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 7 | |
| 4 | 2020 | 2 | |
| 5 | 2019 | 18 | |
| 6 | 2016 | 38 | |
| 7 | 2013 | 3 | |
| 8 | 2011 | 5 | |
| 9 | 2011 | 15 | |
| 10 | 2010 | 17 | |
| 11 | 2006 | 195 | |
| 12 | 2005 | 54 | |
| 13 | 2004 | 49 | |
| 14 | Finding Transcription Factor Binding Sites in Coregulated Genes by Exhaustive Sequence Search. | 2000 | 1 |
| 15 | 2000 | 248 | |
| 16 | 2000 | 27 | |
| 17 | 2000 | 1 | |
| 18 | 2000 | 38 | |
| 19 | 1996 | 53 | |
| 20 | 1995 | 15 |
About Johannes Schuchhardt
Johannes Schuchhardt is a scholar working on Psychiatry and Mental health, Molecular Biology, Spectroscopy, Physiology and Nephrology, having authored 63 papers that have together received 6.3k indexed citations. Recurring topics across this work include Gene expression and cancer classification (13 papers), Alzheimer's disease research and treatments (11 papers), RNA and protein synthesis mechanisms (9 papers), Advanced Proteomics Techniques and Applications (9 papers), Dementia and Cognitive Impairment Research (9 papers), Bioinformatics and Genomic Networks (8 papers), Machine Learning in Bioinformatics (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). The work is most often cited by research in Molecular Biology (4.5k citations), Spectroscopy (707 citations), Aging (61 citations), Cancer Research (489 citations) and Cell Biology (472 citations). Johannes Schuchhardt has collaborated with scholars based in Germany, United States and Portugal. Frequent co-authors include Dorothea Busse, Jana Wolf, Na Li, Gunnar Dittmar, Matthias Selbach, Wei Chen, Björn Schwanhäußer, Gisbert Schneider, Paul Wrede and Lutz Molgedey. Their work appears in journals such as PROTEOMICS, Bioinformatics, Journal of Neural Transmission, The Journal of Immunology and Biological Cybernetics.
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.