Arun Everest‐Dass
- Spectroscopy top 2%
- Mass Spectrometry Techniques and Applications 9
- Advanced Proteomics Techniques and Applications 5
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research 30
- Immunology top 10%
- Cell Biology top 10%
- Proteoglycans and glycosaminoglycans research 6
- Microtubule and mitosis dynamics 3
- Organic Chemistry top 10%
- Carbohydrate Chemistry and Synthesis 10
-
- Streptococcal Infections and Treatments 5
-
- Antimicrobial Resistance in Staphylococcus 3
- Co-authors
- Nicolle H. PackerDaniel KolarichFrancis JacobMatthew T. BriggsPeter HoffmannMatthew P. CampbellMerrina AnugrahamMartin K. Oehler
- Journals
- Glycobiology (4 papers)Rapid Communications in Mass Spectrometry (3 papers)Scientific Reports (2 papers)
- Partner nations
- AustraliaSwitzerlandGermany
In The Last Decade
Arun Everest‐Dass
50 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 120
- Spectroscopy 353
- Molecular Biology 1.0k
- Immunology 222
- Cell Biology 163
- Organic Chemistry 269
Countries citing papers authored by Arun Everest‐Dass
This map shows the geographic impact of Arun Everest‐Dass'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 Arun Everest‐Dass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arun Everest‐Dass more than expected).
Fields of papers citing papers by Arun Everest‐Dass
This network shows the impact of papers produced by Arun Everest‐Dass. 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 Arun Everest‐Dass. The network helps show where Arun Everest‐Dass may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arun Everest‐Dass, 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 | 2025 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 7 | |
| 4 | 2021 | 18 | |
| 5 | 2020 | 48 | |
| 6 | 2020 | 15 | |
| 7 | 2019 | 4 | |
| 8 | 2019 | 15 | |
| 9 | 2018 | 36 | |
| 10 | 2018 | 21 | |
| 11 | 2018 | 14 | |
| 12 | 2017 | 23 | |
| 13 | 2016 | 26 | |
| 14 | 2016 | 9 | |
| 15 | 2016 | 16 | |
| 16 | 2016 | 27 | |
| 17 | 2015 | 62 | |
| 18 | 2014 | 39 | |
| 19 | 2014 | 120 | |
| 20 | 2013 | 31 |
About Arun Everest‐Dass
Arun Everest‐Dass is a scholar working on Cell Biology, Spectroscopy and Immunology and Allergy, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (30 papers), Carbohydrate Chemistry and Synthesis (10 papers), Mass Spectrometry Techniques and Applications (9 papers), Proteoglycans and glycosaminoglycans research (6 papers), Streptococcal Infections and Treatments (5 papers), Advanced Proteomics Techniques and Applications (5 papers), Microtubule and mitosis dynamics (3 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). The work is most often cited by research in Spectroscopy (353 citations), Molecular Biology (1.0k citations) and Immunology (222 citations). Arun Everest‐Dass has collaborated with scholars based in Australia, Switzerland and Germany. Frequent co-authors include Nicolle H. Packer, Daniel Kolarich, Francis Jacob, Matthew T. Briggs, Peter Hoffmann, Matthew P. Campbell, Merrina Anugraham, Martin K. Oehler, Gurjeet Kaur and Viola Heinzelmann‐Schwarz. Their work appears in journals such as Glycobiology, Rapid Communications in Mass Spectrometry, Scientific Reports, Molecular & Cellular Proteomics and Analytical 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.