Miloslav Šanda
Impact in
- Parasitology top 5%
- Vector-borne infectious diseases
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
-
- Glycosylation and Glycoproteins Research 30
- Chemical Synthesis and Analysis 8
- Advanced biosensing and bioanalysis techniques 5
- Spectroscopy 12
- Advanced Proteomics Techniques and Applications 9
- Co-authors
- Radoslav GoldmanPetr PompachJiřı́ JiráčekJing WuLindsay MorrisonJúlius BenickýRadek PohlMichal Hocek
- Journals
- Analytical Chemistry (6 papers)Journal of Proteome Research (5 papers)Scientific Reports (3 papers)Journal of Proteomics (3 papers)PROTEOMICS (3 papers)
- Partner nations
- CzechiaUnited StatesGermany
In The Last Decade
Miloslav Šanda
78 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 121
- Parasitology 183
- Spectroscopy 419
- Molecular Biology 1.3k
- Immunology 294
- Organic Chemistry 343
Countries citing papers authored by Miloslav Šanda
This map shows the geographic impact of Miloslav Šanda'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 Miloslav Šanda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miloslav Šanda more than expected).
Fields of papers citing papers by Miloslav Šanda
This network shows the impact of papers produced by Miloslav Šanda. 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 Miloslav Šanda. The network helps show where Miloslav Šanda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Miloslav Šanda, 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 | 2025 | 11 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 5 | |
| 6 | 2021 | 8 | |
| 7 | 2018 | 35 | |
| 8 | 2018 | 42 | |
| 9 | 2017 | 49 | |
| 10 | 2016 | 10 | |
| 11 | 2013 | 78 | |
| 12 | 2011 | 25 | |
| 13 | 2011 | 31 | |
| 14 | Affinity Chromatography as a Method of Studying the Mechanism of Action of Plant Oxysterols | 2010 | 2 |
| 15 | 2010 | 5 | |
| 16 | 2010 | 103 | |
| 17 | 2010 | 22 | |
| 18 | 2010 | 5 | |
| 19 | 2007 | 26 | |
| 20 | 2007 | 16 |
About Miloslav Šanda
Miloslav Šanda is a scholar working on Molecular Biology, Spectroscopy, Organic Chemistry, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 78 papers that have together received 2.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (30 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Carbohydrate Chemistry and Synthesis (11 papers), Advanced Proteomics Techniques and Applications (9 papers), Chemical Synthesis and Analysis (8 papers), Galectins and Cancer Biology (5 papers), Click Chemistry and Applications (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). The work is most often cited by research in Parasitology (183 citations), Spectroscopy (419 citations), Molecular Biology (1.3k citations), Immunology (294 citations) and Organic Chemistry (343 citations). Miloslav Šanda has collaborated with scholars based in Czechia, United States and Germany. Frequent co-authors include Radoslav Goldman, Petr Pompach, Jiřı́ Jiráček, Jing Wu, Lindsay Morrison, Július Benický, Radek Pohl, Michal Hocek, Irena Selicharová and Petr Kozlík. Their work appears in journals such as Analytical Chemistry, Journal of Proteome Research, Scientific Reports, Journal of Proteomics and PROTEOMICS.
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.