Martin D. Witte
- Molecular Biology top 5%
- Organic Chemistry top 2%
- Oncology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Physiology top 10%
- Co-authors
- Hidde L. PloeghAdriaan J. MinnaardChristopher S. TheileCarla P. GuimarãesAnnet E. M. BlomHerman S. OverkleeftLenka KundratJohannes M. F. G. Aerts
- Topics
- Carbohydrate Chemistry and Synthesis (39 papers)Glycosylation and Glycoproteins Research (22 papers)Chemical Synthesis and Analysis (16 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Martin D. Witte
79 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 1.7k
- Organic Chemistry 1.2k
- Oncology 389
- Radiology, Nuclear Medicine and Imaging 350
- Physiology 327
Countries citing papers authored by Martin D. Witte
This map shows the geographic impact of Martin D. Witte'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 Martin D. Witte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin D. Witte more than expected).
Fields of papers citing papers by Martin D. Witte
This network shows the impact of papers produced by Martin D. Witte. 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 Martin D. Witte. The network helps show where Martin D. Witte may publish in the future.
Co-authorship network of co-authors of Martin D. Witte
This figure shows the co-authorship network connecting the top 25 collaborators of Martin D. Witte. A scholar is included among the top collaborators of Martin D. Witte based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin D. Witte. Martin D. Witte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 24 | |
| 12 | 9 | |
| 13 | 8 | |
| 14 | 9 | |
| 15 | 29 | |
| 16 | 41 | |
| 17 | 66 | |
| 18 | 194 | |
| 19 | 163 | |
| 20 | 104 |
About Martin D. Witte
Martin D. Witte is a scholar working on Organic Chemistry, Molecular Biology and Pharmaceutical Science, having authored 83 papers that have together received 2.7k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (39 papers), Glycosylation and Glycoproteins Research (22 papers) and Chemical Synthesis and Analysis (16 papers). The work is most often cited by research in Organic Chemistry (1.2k citations), Molecular Biology (1.7k citations) and Pharmaceutical Science (102 citations). Martin D. Witte has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Hidde L. Ploegh, Adriaan J. Minnaard, Christopher S. Theile, Carla P. Guimarães, Annet E. M. Blom, Herman S. Overkleeft, Lenka Kundrat, Johannes M. F. G. Aerts, Wouter W. Kallemeijn and Bogdan I. Florea. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological 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.