Dan Grünstein
Impact in
- Organic Chemistry top 10%
- Carbohydrate Chemistry and Synthesis
-
- Nanoparticle-Based Drug Delivery
- Supramolecular Self-Assembly in Materials
Papers in
-
- Carbohydrate Chemistry and Synthesis 4
- Organometallic Complex Synthesis and Catalysis 2
-
- Neuroinflammation and Neurodegeneration Mechanisms 2
- Co-authors
- Peter H. Seeberger (9 shared papers)Raghavendra V Kikkeri (4 shared papers)Konstantin Barylyuk (2 shared papers)Renato Zenobi (2 shared papers)Chian‐Hui Lai (2 shared papers)Guillermo Orts‐Gil (2 shared papers)Alexander B. Tesler (1 shared paper)Giuliano Bellapadrona (1 shared paper)
- Journals
- Journal of the American Chemical Society (2 papers)Carbohydrate Research (1 paper)Analytical Chemistry (1 paper)Chemical Communications (1 paper)Nano Letters (1 paper)
- Partner nations
- GermanySwitzerlandFrance
In The Last Decade
Dan Grünstein
13 papers receiving 550 citations
Peers
Comparison fields: 5 of 74
- Organic Chemistry 191
- Biomaterials 79
- Molecular Biology 326
- Spectroscopy 66
- Biomedical Engineering 115
Countries citing papers authored by Dan Grünstein
This map shows the geographic impact of Dan Grünstein'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 Dan Grünstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Grünstein more than expected).
Fields of papers citing papers by Dan Grünstein
This network shows the impact of papers produced by Dan Grünstein. 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 Dan Grünstein. The network helps show where Dan Grünstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Grünstein, 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 | 2019 | 81 | |
| 2 | 2011 | 79 | |
| 3 | 2011 | 78 | |
| 4 | 2014 | 73 | |
| 5 | 2015 | 52 | |
| 6 | 2010 | 52 | |
| 7 | 2011 | 48 | |
| 8 | 2012 | 26 | |
| 9 | 2013 | 23 | |
| 10 | 2009 | 18 | |
| 11 | 2010 | 15 | |
| 12 | 2009 | 14 | |
| 13 | 2014 | 4 |
About Dan Grünstein
Dan Grünstein is a scholar working on Organic Chemistry, Neurology, Molecular Biology, Inorganic Chemistry and Cell Biology, having authored 13 papers that have together received 563 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Carbohydrate Chemistry and Synthesis (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Organometallic Complex Synthesis and Catalysis (2 papers), Chemical Synthesis and Analysis (2 papers), Chemical Synthesis and Characterization (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Organic Chemistry (191 citations), Biomaterials (79 citations), Molecular Biology (326 citations), Spectroscopy (66 citations) and Biomedical Engineering (115 citations). Dan Grünstein has collaborated with scholars based in Germany, Switzerland and France. Frequent co-authors include Peter H. Seeberger, Raghavendra V Kikkeri, Konstantin Barylyuk, Renato Zenobi, Chian‐Hui Lai, Guillermo Orts‐Gil, Alexander B. Tesler, Giuliano Bellapadrona, Alexander Vaskevich and Israel Rubinstein. Their work appears in journals such as Journal of the American Chemical Society, Carbohydrate Research, Analytical Chemistry, Chemical Communications and Nano 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.