Aliaksandr Khaminets
Impact in
- Parasitology top 1%
- Toxoplasma gondii Research Studies
- Epidemiology top 2%
- Autophagy in Disease and Therapy
- Cytomegalovirus and herpesvirus research
- Herpesvirus Infections and Treatments
Papers in
-
- Autophagy in Disease and Therapy 3
- Cytomegalovirus and herpesvirus research 3
- Herpesvirus Infections and Treatments 2
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- Toxoplasma gondii Research Studies 5
- Co-authors
- Ivan Đikić (2 shared papers)Christian Behl (1 shared paper)Jonathan C. Howard (4 shared papers)Julia P. Hunn (4 shared papers)Yang O. Zhao (3 shared papers)Alexandra Stolz (1 shared paper)Nicole Koch (1 shared paper)Britta Qualmann (1 shared paper)
- Journals
- PLoS Pathogens (1 paper)BMC Biology (1 paper)Trends in Cell Biology (1 paper)Memórias do Instituto Oswaldo Cruz (1 paper)Cellular Microbiology (1 paper)
- Partner nations
- GermanyUnited StatesHungary
In The Last Decade
Aliaksandr Khaminets
7 papers receiving 1.7k citations
Aliaksandr Khaminets's Hit Papers
Peers
Comparison fields: 5 of 83
- Parasitology 383
- Epidemiology 1.1k
- Cell Biology 552
- Physiology 126
- Geriatrics and Gerontology 34
Countries citing papers authored by Aliaksandr Khaminets
This map shows the geographic impact of Aliaksandr Khaminets'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 Aliaksandr Khaminets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aliaksandr Khaminets more than expected).
Fields of papers citing papers by Aliaksandr Khaminets
This network shows the impact of papers produced by Aliaksandr Khaminets. 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 Aliaksandr Khaminets. The network helps show where Aliaksandr Khaminets may publish in the future.
Co-authors
The 25 scholars most cited alongside Aliaksandr Khaminets, 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 | Regulation of endoplasmic reticulum turnover by selective autophagy Hit paper breakdown → | 2015 | 734 |
| 2 | Ubiquitin-Dependent And Independent Signals In Selective Autophagy Hit paper breakdown → | 2015 | 552 |
| 3 | 2009 | 174 | |
| 4 | 2010 | 156 | |
| 5 | 2011 | 30 | |
| 6 | 2009 | 30 | |
| 7 | 2020 | 17 |
About Aliaksandr Khaminets
Aliaksandr Khaminets is a scholar working on Epidemiology, Parasitology, Molecular Biology, Cell Biology and Genetics, having authored 7 papers that have together received 1.7k indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (5 papers), Autophagy in Disease and Therapy (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Herpesvirus Infections and Treatments (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Ubiquitin and proteasome pathways (1 paper), Animal Genetics and Reproduction (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Parasitology (383 citations), Epidemiology (1.1k citations), Cell Biology (552 citations), Physiology (126 citations) and Geriatrics and Gerontology (34 citations). Aliaksandr Khaminets has collaborated with scholars based in Germany, United States and Hungary. Frequent co-authors include Ivan Đikić, Christian Behl, Jonathan C. Howard, Julia P. Hunn, Yang O. Zhao, Alexandra Stolz, Nicole Koch, Britta Qualmann, Sándor Nietzsche and Muriel Mari. Their work appears in journals such as PLoS Pathogens, BMC Biology, Trends in Cell Biology, Memórias do Instituto Oswaldo Cruz and Cellular Microbiology.
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.