Tibor Docsa
Impact in
- Organic Chemistry top 1%
- Carbohydrate Chemistry and Synthesis
- Click Chemistry and Applications
- Synthesis and biological activity
- Synthesis and Biological Evaluation
- Rheumatology top 5%
- Glycogen Storage Diseases and Myoclonus
Papers in
-
- Carbohydrate Chemistry and Synthesis 61
- Click Chemistry and Applications 14
- Rheumatology 25
- Glycogen Storage Diseases and Myoclonus 25
- Co-authors
- Pál Gergely (51 shared papers)László Somsák (55 shared papers)Éva Bokor (20 shared papers)Véronika Nagy (7 shared papers)Zsuzsa Hadady (5 shared papers)Béla Tóth (5 shared papers)Marietta Tóth (10 shared papers)Sándor Kun (14 shared papers)
In The Last Decade
Tibor Docsa
67 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 80
- Organic Chemistry 1.6k
- Rheumatology 280
- Molecular Biology 1.2k
- Biotechnology 102
- Endocrinology, Diabetes and Metabolism 132
Countries citing papers authored by Tibor Docsa
This map shows the geographic impact of Tibor Docsa'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 Tibor Docsa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tibor Docsa more than expected).
Fields of papers citing papers by Tibor Docsa
This network shows the impact of papers produced by Tibor Docsa. 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 Tibor Docsa. The network helps show where Tibor Docsa may publish in the future.
Co-authors
The 25 scholars most cited alongside Tibor Docsa, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 175 | |
| 2 | 2001 | 139 | |
| 3 | 2005 | 79 | |
| 4 | 2015 | 75 | |
| 5 | 2009 | 74 | |
| 6 | 1999 | 72 | |
| 7 | 2002 | 65 | |
| 8 | 2006 | 59 | |
| 9 | 2009 | 58 | |
| 10 | 2004 | 58 | |
| 11 | 2011 | 51 | |
| 12 | 2002 | 45 | |
| 13 | 2013 | 45 | |
| 14 | 2017 | 42 | |
| 15 | 2013 | 41 | |
| 16 | 2016 | 40 | |
| 17 | 2014 | 39 | |
| 18 | 2015 | 36 | |
| 19 | 2009 | 35 | |
| 20 | 2000 | 31 |
About Tibor Docsa
Tibor Docsa is a scholar working on Organic Chemistry, Rheumatology, Molecular Biology, Biotechnology and Endocrinology, Diabetes and Metabolism, having authored 68 papers that have together received 1.9k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (61 papers), Biochemical and Molecular Research (26 papers), Glycogen Storage Diseases and Myoclonus (25 papers), Glycosylation and Glycoproteins Research (23 papers), Click Chemistry and Applications (14 papers), Pancreatic function and diabetes (6 papers), Enzyme Production and Characterization (5 papers) and Chemical Synthesis and Analysis (5 papers). The work is most often cited by research in Organic Chemistry (1.6k citations), Rheumatology (280 citations), Molecular Biology (1.2k citations), Biotechnology (102 citations) and Endocrinology, Diabetes and Metabolism (132 citations). Tibor Docsa has collaborated with scholars based in Hungary, Greece and France. Frequent co-authors include Pál Gergely, László Somsák, Éva Bokor, Véronika Nagy, Zsuzsa Hadady, Béla Tóth, Marietta Tóth, Sándor Kun, Jean‐Pierre Praly and Evangelia D. Chrysina. Their work appears in journals such as Carbohydrate Research, Bioorganic & Medicinal Chemistry, International Journal of Molecular Sciences, European Journal of Medicinal Chemistry and Journal of Medicinal Chemistry.
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.