Eugeni V. Entchev
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms 15
- Cell Biology top 2%
- Cellular transport and secretion 3
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- Circadian rhythm and melatonin 9
- Molecular Biology top 10%
- Developmental Biology and Gene Regulation 3
- Metabolomics and Mass Spectrometry Studies 2
- Biochemistry top 5%
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- Carbohydrate Chemistry and Synthesis 3
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- Neurobiology and Insect Physiology Research 3
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- Cholesterol and Lipid Metabolism 3
- Co-authors
- Marcos González‐GaitánTeymuras V. KurzchaliaHans‐Joachim KnölkerAndrej ShevchenkoDominik SchwudkeJ. Thomas HannichLyle BurtonChrister S. Ejsing
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Eugeni V. Entchev
27 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Aging 310
- Cell Biology 460
- Endocrine and Autonomic Systems 146
- Molecular Biology 973
- Biochemistry 102
Countries citing papers authored by Eugeni V. Entchev
This map shows the geographic impact of Eugeni V. Entchev'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 Eugeni V. Entchev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugeni V. Entchev more than expected).
Fields of papers citing papers by Eugeni V. Entchev
This network shows the impact of papers produced by Eugeni V. Entchev. 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 Eugeni V. Entchev. The network helps show where Eugeni V. Entchev may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eugeni V. Entchev, 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 | 2021 | 7 | |
| 2 | 2020 | 16 | |
| 3 | 2020 | 1 | |
| 4 | 2017 | 6 | |
| 5 | 2017 | 2 | |
| 6 | 2015 | 16 | |
| 7 | 2009 | 45 | |
| 8 | 2009 | 23 | |
| 9 | 2009 | 5 | |
| 10 | 2009 | 26 | |
| 11 | 2009 | 46 | |
| 12 | 2008 | 32 | |
| 13 | 2008 | 69 | |
| 14 | 2006 | 2 | |
| 15 | 2006 | 1 | |
| 16 | 2006 | 49 | |
| 17 | 2005 | 60 | |
| 18 | 2004 | 130 | |
| 19 | 2002 | 59 | |
| 20 | Gradient Formation of the TGF-β Homolog Dppbreakdown → | 2000 | 505 |
About Eugeni V. Entchev
Eugeni V. Entchev is a scholar working on Aging, Endocrine and Autonomic Systems and Cell Biology, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (15 papers), Circadian rhythm and melatonin (9 papers), Carbohydrate Chemistry and Synthesis (3 papers), Cellular transport and secretion (3 papers), Neurobiology and Insect Physiology Research (3 papers), Cholesterol and Lipid Metabolism (3 papers), Developmental Biology and Gene Regulation (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Aging (310 citations), Cell Biology (460 citations) and Endocrine and Autonomic Systems (146 citations). Eugeni V. Entchev has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Marcos González‐Gaitán, Teymuras V. Kurzchalia, Hans‐Joachim Knölker, Andrej Shevchenko, Dominik Schwudke, J. Thomas Hannich, Lyle Burton, Christer S. Ejsing, René Martin and Vitali Matyash. Their work appears in journals such as Science, Cell and Journal of Biological Chemistry.
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.