Daniel V. Kalinovsky
Impact in
- Neurology top 10%
- Neuroblastoma Research and Treatments
-
- Monoclonal and Polyclonal Antibodies Research
- Radiopharmaceutical Chemistry and Applications
Papers in
-
- Monoclonal and Polyclonal Antibodies Research 6
- Oncology 2
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Igor I. Doronin (6 shared papers)Roman V. Kholodenko (9 shared papers)Irina V. Kholodenko (8 shared papers)Sergey Mikhailovich Deyev (7 shared papers)Eugene D. Ponomarev (1 shared paper)Sergey S. Larin (5 shared papers)Elena Svirshchevskaya (6 shared papers)А. В. Кибардин (5 shared papers)
- Journals
- Current Issues in Molecular Biology (1 paper)Journal of Immunology Research (1 paper)Molecules (1 paper)Current Medicinal Chemistry (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- RussiaHong KongUnited States
In The Last Decade
Daniel V. Kalinovsky
9 papers receiving 359 citations
Peers
Comparison fields: 5 of 44
- Neurology 112
- Radiology, Nuclear Medicine and Imaging 109
- Oncology 42
- Genetics 15
- Biomaterials 21
Countries citing papers authored by Daniel V. Kalinovsky
This map shows the geographic impact of Daniel V. Kalinovsky'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 Daniel V. Kalinovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel V. Kalinovsky more than expected).
Fields of papers citing papers by Daniel V. Kalinovsky
This network shows the impact of papers produced by Daniel V. Kalinovsky. 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 Daniel V. Kalinovsky. The network helps show where Daniel V. Kalinovsky may publish in the future.
Co-authors
The 20 scholars most cited alongside Daniel V. Kalinovsky, 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 | 2018 | 145 | |
| 2 | 2019 | 97 | |
| 3 | 2020 | 34 | |
| 4 | 2019 | 29 | |
| 5 | 2022 | 28 | |
| 6 | 2023 | 21 | |
| 7 | 2023 | 7 | |
| 8 | 2019 | 1 | |
| 9 | 2025 | 1 | |
| 10 | 2024 | 0 |
About Daniel V. Kalinovsky
Daniel V. Kalinovsky is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Biotechnology, Biomaterials and Cell Biology, having authored 10 papers that have together received 363 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Cancer Immunotherapy and Biomarkers (2 papers), Microbial metabolism and enzyme function (1 paper), Enzyme Production and Characterization (1 paper), Gene expression and cancer classification (1 paper), Nanoparticle-Based Drug Delivery (1 paper), Enzyme Structure and Function (1 paper) and Neuroblastoma Research and Treatments (1 paper). The work is most often cited by research in Neurology (112 citations), Radiology, Nuclear Medicine and Imaging (109 citations), Oncology (42 citations), Genetics (15 citations) and Biomaterials (21 citations). Daniel V. Kalinovsky has collaborated with scholars based in Russia, Hong Kong and United States. Frequent co-authors include Igor I. Doronin, Roman V. Kholodenko, Irina V. Kholodenko, Sergey Mikhailovich Deyev, Eugene D. Ponomarev, Sergey S. Larin, Elena Svirshchevskaya, А. В. Кибардин, Denis Kuzmin and D. Yu. Ryazantsev. Their work appears in journals such as Current Issues in Molecular Biology, Journal of Immunology Research, Molecules, Current Medicinal Chemistry and International Journal of Molecular Sciences.
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.