Gemma Arsequell
Impact in
- Organic Chemistry top 5%
- Carbohydrate Chemistry and Synthesis
- Immunology top 10%
- Immunotherapy and Immune Responses
Papers in
-
- Amyloidosis: Diagnosis, Treatment, Outcomes 19
- Chemical Synthesis and Analysis 9
- Glycosylation and Glycoproteins Research 8
- vaccines and immunoinformatics approaches 7
-
- Carbohydrate Chemistry and Synthesis 12
- Co-authors
- Gregorio Valencia (39 shared papers)Tim J Elliott (7 shared papers)John Sørensen Haurum (7 shared papers)Raymond Allen Dwek (7 shared papers)G. Valencia (9 shared papers)Maria João Saraiva (13 shared papers)Isabel Cardoso (15 shared papers)Antoni Planas (20 shared papers)
- Journals
- Journal of Medicinal Chemistry (5 papers)Tetrahedron Letters (5 papers)Biochemical Journal (4 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)International Journal of Molecular Sciences (3 papers)
- Partner nations
- SpainPortugalUnited Kingdom
In The Last Decade
Gemma Arsequell
77 papers receiving 2k citations
Peers
Comparison fields: 5 of 90
- Organic Chemistry 535
- Immunology 303
- Molecular Biology 946
- Insect Science 92
- Physiology 208
Countries citing papers authored by Gemma Arsequell
This map shows the geographic impact of Gemma Arsequell'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 Gemma Arsequell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gemma Arsequell more than expected).
Fields of papers citing papers by Gemma Arsequell
This network shows the impact of papers produced by Gemma Arsequell. 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 Gemma Arsequell. The network helps show where Gemma Arsequell may publish in the future.
Co-authors
The 25 scholars most cited alongside Gemma Arsequell, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 168 | |
| 2 | 1999 | 110 | |
| 3 | 1999 | 106 | |
| 4 | 1999 | 95 | |
| 5 | 2004 | 79 | |
| 6 | 1999 | 74 | |
| 7 | 1995 | 72 | |
| 8 | 2003 | 72 | |
| 9 | 1997 | 63 | |
| 10 | 2020 | 59 | |
| 11 | 2008 | 54 | |
| 12 | 2005 | 50 | |
| 13 | 1994 | 49 | |
| 14 | 2014 | 49 | |
| 15 | 2009 | 45 | |
| 16 | 1990 | 43 | |
| 17 | 1994 | 41 | |
| 18 | 2000 | 40 | |
| 19 | 2009 | 40 | |
| 20 | 2000 | 39 |
About Gemma Arsequell
Gemma Arsequell is a scholar working on Molecular Biology, Organic Chemistry, Physiology, Insect Science and Cellular and Molecular Neuroscience, having authored 77 papers that have together received 2.1k indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (19 papers), Alzheimer's disease research and treatments (14 papers), Carbohydrate Chemistry and Synthesis (12 papers), Chemical Synthesis and Analysis (9 papers), Glycosylation and Glycoproteins Research (8 papers), Insect Pheromone Research and Control (7 papers), vaccines and immunoinformatics approaches (7 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Organic Chemistry (535 citations), Immunology (303 citations), Molecular Biology (946 citations), Insect Science (92 citations) and Physiology (208 citations). Gemma Arsequell has collaborated with scholars based in Spain, Portugal and United Kingdom. Frequent co-authors include Gregorio Valencia, Tim J Elliott, John Sørensen Haurum, Raymond Allen Dwek, G. Valencia, Maria João Saraiva, Isabel Cardoso, Antoni Planas, Francisco Camps and Gemma Fabriàs. Their work appears in journals such as Journal of Medicinal Chemistry, Tetrahedron Letters, Biochemical Journal, Bioorganic & Medicinal Chemistry Letters and International Journal of Molecular Sciences.
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.