Vladislav Kim

808 total citations
7 papers, 54 citations indexed

About

Vladislav Kim is a scholar working on Molecular Biology, Biophysics and Oncology. According to data from OpenAlex, Vladislav Kim has authored 7 papers receiving a total of 54 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Biophysics and 2 papers in Oncology. Recurrent topics in Vladislav Kim's work include Cell Image Analysis Techniques (3 papers), CAR-T cell therapy research (2 papers) and Image Processing Techniques and Applications (2 papers). Vladislav Kim is often cited by papers focused on Cell Image Analysis Techniques (3 papers), CAR-T cell therapy research (2 papers) and Image Processing Techniques and Applications (2 papers). Vladislav Kim collaborates with scholars based in Germany, Switzerland and Netherlands. Vladislav Kim's co-authors include Wolfgang Huber, Morten Kjos, Michael Knopp, Stephan Göttig, Karin Mitosch, Elisabetta Cacace, Kemal İnecik, Ana Rita Brochado, Athanasios Typas and André Mateus and has published in prestigious journals such as Scientific Reports, Nature Microbiology and Pesticide Biochemistry and Physiology.

In The Last Decade

Vladislav Kim

5 papers receiving 54 citations

Peers

Vladislav Kim
Jesse A. Coker United States
Taylor J Chen United States
Yasaman Barekatain United States
Guido Brink Netherlands
Adrienne Greenough United States
Tanisha Meeuwsen United States
Vladislav Kim
Citations per year, relative to Vladislav Kim Vladislav Kim (= 1×) peers David Lähnemann

Countries citing papers authored by Vladislav Kim

Since Specialization
Citations

This map shows the geographic impact of Vladislav Kim'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 Vladislav Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladislav Kim more than expected).

Fields of papers citing papers by Vladislav Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vladislav Kim. 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 Vladislav Kim. The network helps show where Vladislav Kim may publish in the future.

Co-authorship network of co-authors of Vladislav Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Vladislav Kim. A scholar is included among the top collaborators of Vladislav Kim 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 Vladislav Kim. Vladislav Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Kim, Vladislav, et al.. (2025). uniDINO: Assay-independent feature extraction for fluorescence microscopy images. Computational and Structural Biotechnology Journal. 27. 928–936.
2.
McGurk, Kathryn A., Lingyao Zeng, Vladislav Kim, et al.. (2025). A multimodal vision knowledge graph of cardiovascular disease. Nature Cardiovascular Research. 5(1). 18–33.
3.
Kim, Vladislav, et al.. (2025). Self-supervision advances morphological profiling by unlocking powerful image representations. Scientific Reports. 15(1). 4876–4876. 3 indexed citations
4.
Leggio, Bruno, Tim König, Vladislav Kim, et al.. (2024). Cell Painting unravels insecticidal modes of action on Spodoptera frugiperda insect cells. Pesticide Biochemistry and Physiology. 203. 105983–105983. 3 indexed citations
5.
Herbst, Sophie A., Vladislav Kim, Tobias Roider, et al.. (2023). Comparing the value of mono- vs coculture for high-throughput compound screening in hematological malignancies. Blood Advances. 7(19). 5925–5936. 7 indexed citations
6.
Cacace, Elisabetta, Vladislav Kim, Vallo Varik, et al.. (2023). Systematic analysis of drug combinations against Gram-positive bacteria. Nature Microbiology. 8(11). 2196–2212. 31 indexed citations
7.
Roider, Tobias, Vladislav Kim, Carolin Kolb, et al.. (2021). An autologous culture model of nodal B-cell lymphoma identifies ex vivo determinants of response to bispecific antibodies. Blood Advances. 5(23). 5060–5071. 10 indexed citations

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.

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