Edda Kloppmann
Impact in
- Molecular Biology top 10%
- Single-cell and spatial transcriptomics
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Lipid Membrane Structure and Behavior
- Glycosylation and Glycoproteins Research
- Molecular Medicine top 10%
Papers in
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- Machine Learning in Bioinformatics 6
- Protein Structure and Dynamics 5
- RNA and protein synthesis mechanisms 4
- Retinal Development and Disorders 3
- Receptor Mechanisms and Signaling 2
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- Cellular transport and secretion 3
- Co-authors
- Burkhard Rost (13 shared papers)Tatyana Goldberg (3 shared papers)Hideya Kawaji (1 shared paper)Jordan A. Ramilowski (1 shared paper)Jayson Harshbarger (1 shared paper)Marina Lizio (1 shared paper)Piero Carninci (1 shared paper)Venkata Satagopam (1 shared paper)
- Journals
- Science (4 papers)Proteins Structure Function and Bioinformatics (3 papers)Nature Communications (2 papers)Journal of Computational Chemistry (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Edda Kloppmann
17 papers receiving 1.7k citations
Edda Kloppmann's Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 1.1k
- Molecular Medicine 52
- Immunology 201
- Biophysics 48
- Cellular and Molecular Neuroscience 140
Countries citing papers authored by Edda Kloppmann
This map shows the geographic impact of Edda Kloppmann'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 Edda Kloppmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edda Kloppmann more than expected).
Fields of papers citing papers by Edda Kloppmann
This network shows the impact of papers produced by Edda Kloppmann. 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 Edda Kloppmann. The network helps show where Edda Kloppmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Edda Kloppmann, 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 | A draft network of ligand–receptor-mediated multicellular signalling in human Hit paper breakdown → | 2015 | 541 |
| 2 | PredictProtein—an open resource for online prediction of protein structural and functional features Hit paper breakdown → | 2014 | 460 |
| 3 | 2015 | 148 | |
| 4 | 2014 | 101 | |
| 5 | 2016 | 101 | |
| 6 | 2014 | 81 | |
| 7 | 2013 | 49 | |
| 8 | 2016 | 36 | |
| 9 | 2016 | 34 | |
| 10 | 2005 | 32 | |
| 11 | 2012 | 28 | |
| 12 | 2015 | 26 | |
| 13 | 2014 | 22 | |
| 14 | 2008 | 18 | |
| 15 | 2013 | 11 | |
| 16 | 2007 | 8 | |
| 17 | 2015 | 2 |
About Edda Kloppmann
Edda Kloppmann is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Organic Chemistry and Ecology, having authored 17 papers that have together received 1.7k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (6 papers), Protein Structure and Dynamics (5 papers), RNA and protein synthesis mechanisms (4 papers), Cellular transport and secretion (3 papers), Retinal Development and Disorders (3 papers), Photoreceptor and optogenetics research (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Molecular Medicine (52 citations), Immunology (201 citations), Biophysics (48 citations) and Cellular and Molecular Neuroscience (140 citations). Edda Kloppmann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Burkhard Rost, Tatyana Goldberg, Hideya Kawaji, Jordan A. Ramilowski, Jayson Harshbarger, Marina Lizio, Piero Carninci, Venkata Satagopam, Alistair R. R. Forrest and Masayoshi Itoh. Their work appears in journals such as Science, Proteins Structure Function and Bioinformatics, Nature Communications, Journal of Computational Chemistry and Nature Structural & Molecular Biology.
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.