J. Šavrda
Impact in
- Spectroscopy top 10%
- Molecular spectroscopy and chirality
- Mass Spectrometry Techniques and Applications
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- Chemical Synthesis and Analysis
- Protein Structure and Dynamics
- Protein Hydrolysis and Bioactive Peptides
Papers in
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- Chemical Synthesis and Analysis 21
- Glycosylation and Glycoproteins Research 2
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- Carbohydrate Chemistry and Synthesis 7
- Click Chemistry and Applications 4
- Co-authors
- M Delaage (2 shared papers)Michel Lazdunski (2 shared papers)Michel Wakselman (11 shared papers)Jean‐Pierre Abita (1 shared paper)Jean‐Paul Mazaleyrat (8 shared papers)E. Bricas (3 shared papers)A Gaucher (2 shared papers)Anita Go (1 shared paper)
In The Last Decade
J. Šavrda
25 papers receiving 399 citations
Peers
Comparison fields: 5 of 71
- Spectroscopy 93
- Molecular Biology 324
- Organic Chemistry 137
- Pharmaceutical Science 19
- Biotechnology 23
Countries citing papers authored by J. Šavrda
This map shows the geographic impact of J. Šavrda'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 J. Šavrda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Šavrda more than expected).
Fields of papers citing papers by J. Šavrda
This network shows the impact of papers produced by J. Šavrda. 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 J. Šavrda. The network helps show where J. Šavrda may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Šavrda, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1969 | 135 | |
| 2 | 1972 | 42 | |
| 3 | 1975 | 35 | |
| 4 | 1997 | 34 | |
| 5 | 1967 | 33 | |
| 6 | 1994 | 21 | |
| 7 | 1977 | 17 | |
| 8 | 1997 | 15 | |
| 9 | 1999 | 14 | |
| 10 | 1992 | 14 | |
| 11 | 1979 | 11 | |
| 12 | 1980 | 10 | |
| 13 | 1994 | 10 | |
| 14 | 1992 | 9 | |
| 15 | 1983 | 7 | |
| 16 | 2000 | 7 | |
| 17 | 2000 | 6 | |
| 18 | 1968 | 6 | |
| 19 | 1973 | 5 | |
| 20 | 1980 | 5 |
About J. Šavrda
J. Šavrda is a scholar working on Molecular Biology, Organic Chemistry, Spectroscopy, Infectious Diseases and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 451 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (21 papers), Carbohydrate Chemistry and Synthesis (7 papers), Click Chemistry and Applications (4 papers), HIV/AIDS drug development and treatment (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Molecular spectroscopy and chirality (2 papers). The work is most often cited by research in Spectroscopy (93 citations), Molecular Biology (324 citations), Organic Chemistry (137 citations), Pharmaceutical Science (19 citations) and Biotechnology (23 citations). J. Šavrda has collaborated with scholars based in France and Italy. Frequent co-authors include M Delaage, Michel Lazdunski, Michel Wakselman, Jean‐Pierre Abita, Jean‐Paul Mazaleyrat, E. Bricas, A Gaucher, Anita Go, Kenneth D. Kopple and Serge Fermandjian. Their work appears in journals such as Tetrahedron Letters, Tetrahedron, Biochemical and Biophysical Research Communications, Infection and Immunity and Bioorganic & Medicinal Chemistry Letters.
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.