Erwin Knecht
- Cell Biology top 0.5%
- Endoplasmic Reticulum Stress and Disease 16
- Physiology top 0.5%
- Lysosomal Storage Disorders Research 15
- Epidemiology top 1%
- Autophagy in Disease and Therapy 27
- Geriatrics and Gerontology top 2%
- Molecular Biology top 2%
- Mitochondrial Function and Pathology 14
- Ubiquitin and proteasome pathways 13
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- Metabolism and Genetic Disorders 15
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- Glycogen Storage Diseases and Myoclonus 14
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- Genetics and Neurodevelopmental Disorders 14
- Co-authors
- Ana María CuervoA. Jennifer RivettCarmen AguadoJ. Fred DiceAmparo PalmerRoberta KiffinGraciela FuertesPascual Sanz
- Cited by
- Cell BiologyPhysiologyEpidemiology
- Journals
- FEBS Letters (9 papers)Journal of Histochemistry & Cytochemistry (8 papers)Journal of Biological Chemistry (6 papers)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Erwin Knecht
104 papers receiving 5.6k citations
Peers
Comparison fields: 5 of 121
- Cell Biology 1.7k
- Physiology 368
- Epidemiology 2.3k
- Geriatrics and Gerontology 183
- Molecular Biology 3.1k
Countries citing papers authored by Erwin Knecht
This map shows the geographic impact of Erwin Knecht'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 Erwin Knecht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erwin Knecht more than expected).
Fields of papers citing papers by Erwin Knecht
This network shows the impact of papers produced by Erwin Knecht. 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 Erwin Knecht. The network helps show where Erwin Knecht may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Erwin Knecht, 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 | 2019 | 19 | |
| 2 | 2019 | 44 | |
| 3 | 2017 | 26 | |
| 4 | 2016 | 47 | |
| 5 | 2015 | 27 | |
| 6 | 2014 | 38 | |
| 7 | 2013 | 38 | |
| 8 | 2013 | 63 | |
| 9 | 2013 | 14 | |
| 10 | 2010 | 46 | |
| 11 | 2010 | 27 | |
| 12 | 2008 | 49 | |
| 13 | 2008 | 56 | |
| 14 | 2007 | 4 | |
| 15 | 2004 | 489 | |
| 16 | 1993 | 30 | |
| 17 | 1990 | 6 | |
| 18 | 1990 | 2 | |
| 19 | 1988 | 17 | |
| 20 | 1987 | 22 |
About Erwin Knecht
Erwin Knecht is a scholar working on Clinical Biochemistry, Cell Biology, Biochemistry, Rheumatology and Molecular Biology, having authored 104 papers that have together received 5.8k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (27 papers), Endoplasmic Reticulum Stress and Disease (16 papers), Metabolism and Genetic Disorders (15 papers), Lysosomal Storage Disorders Research (15 papers), Mitochondrial Function and Pathology (14 papers), Glycogen Storage Diseases and Myoclonus (14 papers), Genetics and Neurodevelopmental Disorders (14 papers) and Ubiquitin and proteasome pathways (13 papers). The work is most often cited by research in Cell Biology (1.7k citations), Physiology (368 citations), Epidemiology (2.3k citations), Geriatrics and Gerontology (183 citations) and Molecular Biology (3.1k citations). Erwin Knecht has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Ana María Cuervo, A. Jennifer Rivett, Carmen Aguado, J. Fred Dice, Amparo Palmer, Roberta Kiffin, Graciela Fuertes, Pascual Sanz, Stanley R. Terlecky and José R. Penadés. Their work appears in journals such as FEBS Letters, Journal of Histochemistry & Cytochemistry, Journal of Biological Chemistry, Biochemical Journal and European Journal of Biochemistry.
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.