Edda Kloppmann
- Molecular Biology top 10%
- Machine Learning in Bioinformatics 6
- Protein Structure and Dynamics 5
- RNA and protein synthesis mechanisms 4
- Retinal Development and Disorders 3
- Lipid Membrane Structure and Behavior 2
- Molecular Medicine top 10%
- Immunology top 10%
- Biophysics top 5%
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- Photoreceptor and optogenetics research 3
- Neuroscience and Neuropharmacology Research 2
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- Cellular transport and secretion 3
- Co-authors
- Burkhard RostTatyana GoldbergJordan A. RamilowskiJayson HarshbargerVenkata SatagopamHideya KawajiPiero CarninciAlistair R. R. Forrest
- Journals
- Science (4 papers)Proteins Structure Function and Bioinformatics (3 papers)Nature Communications (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Edda Kloppmann
17 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 1.2k
- Molecular Medicine 53
- Immunology 225
- Biophysics 51
- Cellular and Molecular Neuroscience 143
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-authorship network
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 | 2016 | 96 | |
| 2 | 2016 | 33 | |
| 3 | 2016 | 36 | |
| 4 | 2015 | 2 | |
| 5 | 2015 | 26 | |
| 6 | A draft network of ligand–receptor-mediated multicellular signalling in humanbreakdown → | 2015 | 519 |
| 7 | 2015 | 148 | |
| 8 | 2014 | 81 | |
| 9 | PredictProtein—an open resource for online prediction of protein structural and functional featuresbreakdown → | 2014 | 455 |
| 10 | 2014 | 22 | |
| 11 | 2014 | 99 | |
| 12 | 2013 | 11 | |
| 13 | 2013 | 49 | |
| 14 | 2012 | 28 | |
| 15 | 2008 | 18 | |
| 16 | 2007 | 8 | |
| 17 | 2005 | 31 |
About Edda Kloppmann
Edda Kloppmann is a scholar working on Cell Biology, Molecular Biology and Molecular Medicine, 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), Photoreceptor and optogenetics research (3 papers), Cellular transport and secretion (3 papers), Retinal Development and Disorders (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Molecular Medicine (53 citations) and Immunology (225 citations). Edda Kloppmann has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Burkhard Rost, Tatyana Goldberg, Jordan A. Ramilowski, Jayson Harshbarger, Venkata Satagopam, Hideya Kawaji, Piero Carninci, Alistair R. R. Forrest, Masayoshi Itoh and Brian Kloss. Their work appears in journals such as Science, Proteins Structure Function and Bioinformatics, Nature Communications, Molecular & Cellular Proteomics 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.