Igor Kondrychyn
Impact in
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
- Cellular Mechanics and Interactions
- Developmental Neuroscience top 10%
Papers in
-
- Congenital heart defects research 10
- Pluripotent Stem Cells Research 2
- Renal and related cancers 2
- Developmental Biology and Gene Regulation 2
- Cell Biology 10
- Zebrafish Biomedical Research Applications 9
- Co-authors
- Vladimir Korzh (19 shared papers)Marta García‐Lecea (6 shared papers)Cecilia Lanny Winata (5 shared papers)Svetlana Korzh (2 shared papers)Zhiyuan Gong (2 shared papers)Weiling Zheng (1 shared paper)Cathleen Teh (4 shared papers)Alexander Emelyanov (1 shared paper)
In The Last Decade
Igor Kondrychyn
22 papers receiving 783 citations
Peers
Comparison fields: 5 of 90
- Cell Biology 251
- Developmental Neuroscience 34
- Molecular Biology 456
- Health, Toxicology and Mutagenesis 68
- Physiology 22
Countries citing papers authored by Igor Kondrychyn
This map shows the geographic impact of Igor Kondrychyn'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 Igor Kondrychyn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Kondrychyn more than expected).
Fields of papers citing papers by Igor Kondrychyn
This network shows the impact of papers produced by Igor Kondrychyn. 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 Igor Kondrychyn. The network helps show where Igor Kondrychyn may publish in the future.
Co-authors
The 25 scholars most cited alongside Igor Kondrychyn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 161 | |
| 2 | 2008 | 144 | |
| 3 | 2009 | 73 | |
| 4 | 2008 | 63 | |
| 5 | 2010 | 47 | |
| 6 | 2010 | 43 | |
| 7 | 2013 | 39 | |
| 8 | 2013 | 32 | |
| 9 | 2011 | 30 | |
| 10 | 2020 | 26 | |
| 11 | 2012 | 21 | |
| 12 | 2016 | 21 | |
| 13 | 2016 | 17 | |
| 14 | 2011 | 16 | |
| 15 | 2017 | 16 | |
| 16 | 2017 | 12 | |
| 17 | 2019 | 8 | |
| 18 | 2015 | 7 | |
| 19 | [Phospholipid and cholesterol levels in the tumor cell plasma membranes with different sensitivity to doxorubicin]. | 2004 | 7 |
| 20 | 2021 | 4 |
About Igor Kondrychyn
Igor Kondrychyn is a scholar working on Molecular Biology, Cell Biology, Genetics, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 24 papers that have together received 790 indexed citations. Recurring topics across this work include Congenital heart defects research (10 papers), Zebrafish Biomedical Research Applications (9 papers), Animal Genetics and Reproduction (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Pluripotent Stem Cells Research (2 papers), Renal and related cancers (2 papers), Developmental Biology and Gene Regulation (2 papers) and Autism Spectrum Disorder Research (2 papers). The work is most often cited by research in Cell Biology (251 citations), Developmental Neuroscience (34 citations), Molecular Biology (456 citations), Health, Toxicology and Mutagenesis (68 citations) and Physiology (22 citations). Igor Kondrychyn has collaborated with scholars based in Singapore, Poland and Japan. Frequent co-authors include Vladimir Korzh, Marta García‐Lecea, Cecilia Lanny Winata, Svetlana Korzh, Zhiyuan Gong, Weiling Zheng, Cathleen Teh, Alexander Emelyanov, Årindam Majumdar and Steve Mangos. Their work appears in journals such as Nature Communications, PLoS ONE, Zebrafish, eNeuro and BMC Developmental 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.