Marina Ignatushchenko
- Molecular Biology top 5%
- Oncology top 10%
- Computational Theory and Mathematics top 2%
- Organic Chemistry top 10%
- Epidemiology top 10%
- Co-authors
- P. NordlundRozbeh JafariDaniel Martinez MolinaDan ChenTakahiro SekiYihai CaoAndreas LarssonHelena Almqvist
- Topics
- Malaria Research and Control (4 papers)Trypanosoma species research and implications (2 papers)Computational Drug Discovery Methods (2 papers)
- Journals
- ScienceFEBS LettersNature Protocols
- Partner nations
- United StatesSwedenSingapore
In The Last Decade
Marina Ignatushchenko
10 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Molecular Biology 1.9k
- Oncology 440
- Computational Theory and Mathematics 304
- Organic Chemistry 304
- Epidemiology 291
Countries citing papers authored by Marina Ignatushchenko
This map shows the geographic impact of Marina Ignatushchenko'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 Marina Ignatushchenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marina Ignatushchenko more than expected).
Fields of papers citing papers by Marina Ignatushchenko
This network shows the impact of papers produced by Marina Ignatushchenko. 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 Marina Ignatushchenko. The network helps show where Marina Ignatushchenko may publish in the future.
Co-authorship network of co-authors of Marina Ignatushchenko
This figure shows the co-authorship network connecting the top 25 collaborators of Marina Ignatushchenko. A scholar is included among the top collaborators of Marina Ignatushchenko based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marina Ignatushchenko. Marina Ignatushchenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The cellular thermal shift assay for evaluating drug target interactions in cellsbreakdown → | 986 |
| 2 | Monitoring Drug Target Engagement in Cells and Tissues Using the Cellular Thermal Shift Assaybreakdown → | 1510 |
| 3 | 14 | |
| 4 | 22 | |
| 5 | 110 | |
| 6 | 58 | |
| 7 | 1 | |
| 8 | 100 | |
| 9 | 37 | |
| 10 | 59 |
About Marina Ignatushchenko
Marina Ignatushchenko is a scholar working on Toxicology, Pharmacology and Physiology, having authored 10 papers that have together received 2.9k indexed citations. Recurring topics across this work include Malaria Research and Control (4 papers), Trypanosoma species research and implications (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Toxicology (77 citations) and Computational Theory and Mathematics (304 citations). Marina Ignatushchenko has collaborated with scholars based in United States, Sweden and Singapore. Frequent co-authors include P. Nordlund, Rozbeh Jafari, Daniel Martinez Molina, Dan Chen, Takahiro Seki, Yihai Cao, Andreas Larsson, Helena Almqvist, Thomas Lundbäck and Hanna Axelsson. Their work appears in journals such as Science, FEBS Letters and Nature Protocols.
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.