Sándor Kun
Impact in
- Organic Chemistry top 5%
- Carbohydrate Chemistry and Synthesis
- Click Chemistry and Applications
- Catalytic C–H Functionalization Methods
- Radical Photochemical Reactions
- Sulfur-Based Synthesis Techniques
- Pharmaceutical Science top 10%
Papers in
-
- Carbohydrate Chemistry and Synthesis 21
- Click Chemistry and Applications 6
-
- Biochemical and Molecular Research 8
- Glycosylation and Glycoproteins Research 6
- Protein Tyrosine Phosphatases 3
- Co-authors
- László Somsák (24 shared papers)Éva Bokor (17 shared papers)Marietta Tóth (7 shared papers)Sébastien Vidal (2 shared papers)Jean‐Pierre Praly (2 shared papers)Tibor Docsa (13 shared papers)David Goyard (1 shared paper)Pál Gergely (8 shared papers)
- Journals
- European Journal of Medicinal Chemistry (3 papers)Molecules (3 papers)Carbohydrate Research (2 papers)Bioorganic & Medicinal Chemistry (2 papers)Journal of Structural Biology (1 paper)
- Partner nations
- HungaryGreeceUnited Kingdom
In The Last Decade
Sándor Kun
25 papers receiving 629 citations
Peers
Comparison fields: 5 of 58
- Organic Chemistry 554
- Pharmaceutical Science 34
- Molecular Biology 321
- Endocrinology, Diabetes and Metabolism 60
- Biotechnology 28
Countries citing papers authored by Sándor Kun
This map shows the geographic impact of Sándor Kun'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 Sándor Kun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sándor Kun more than expected).
Fields of papers citing papers by Sándor Kun
This network shows the impact of papers produced by Sándor Kun. 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 Sándor Kun. The network helps show where Sándor Kun may publish in the future.
Co-authors
The 25 scholars most cited alongside Sándor Kun, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 227 | |
| 2 | 2009 | 58 | |
| 3 | 2011 | 50 | |
| 4 | 2017 | 38 | |
| 5 | 2014 | 36 | |
| 6 | 2016 | 35 | |
| 7 | 2015 | 33 | |
| 8 | 2018 | 21 | |
| 9 | 2018 | 17 | |
| 10 | 2014 | 15 | |
| 11 | 2017 | 13 | |
| 12 | 2019 | 13 | |
| 13 | 2017 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 2018 | 10 | |
| 16 | 2015 | 8 | |
| 17 | 2019 | 8 | |
| 18 | 2017 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2019 | 6 |
About Sándor Kun
Sándor Kun is a scholar working on Organic Chemistry, Molecular Biology, Rheumatology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 26 papers that have together received 638 indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (21 papers), Biochemical and Molecular Research (8 papers), Click Chemistry and Applications (6 papers), Glycosylation and Glycoproteins Research (6 papers), Glycogen Storage Diseases and Myoclonus (6 papers), Pancreatic function and diabetes (3 papers), Protein Tyrosine Phosphatases (3 papers) and Diabetes Treatment and Management (2 papers). The work is most often cited by research in Organic Chemistry (554 citations), Pharmaceutical Science (34 citations), Molecular Biology (321 citations), Endocrinology, Diabetes and Metabolism (60 citations) and Biotechnology (28 citations). Sándor Kun has collaborated with scholars based in Hungary, Greece and United Kingdom. Frequent co-authors include László Somsák, Éva Bokor, Marietta Tóth, Sébastien Vidal, Jean‐Pierre Praly, Tibor Docsa, David Goyard, Pál Gergely, D.D. Leonidas and Katalin Czifrák. Their work appears in journals such as European Journal of Medicinal Chemistry, Molecules, Carbohydrate Research, Bioorganic & Medicinal Chemistry and Journal of Structural Biology.
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.