María L. Allende
- Immunology top 1%
- Immune Cell Function and Interaction 3
- Cell Biology top 1%
- Cellular transport and secretion 7
- Endoplasmic Reticulum Stress and Disease 4
- Molecular Biology top 1%
- Sphingolipid Metabolism and Signaling 22
- Glycosylation and Glycoproteins Research 12
- Neurology top 5%
- Physiology top 2%
- Lysosomal Storage Disorders Research 7
- Erythrocyte Function and Pathophysiology 5
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- Platelet Disorders and Treatments 4
- Co-authors
- Richard L. ProiaYing XuJason G. CysterCharles G. LoGuy CinamonMehrdad MatloubianVolker BrinkmannTadashi Yamashita
- Journals
- Nature (1 paper)Journal of Biological Chemistry (11 papers)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesArgentinaGermany
In The Last Decade
María L. Allende
35 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Immunology 1.9k
- Cell Biology 1.2k
- Molecular Biology 4.0k
- Neurology 291
- Physiology 143
Countries citing papers authored by María L. Allende
This map shows the geographic impact of María L. Allende'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 María L. Allende with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María L. Allende more than expected).
Fields of papers citing papers by María L. Allende
This network shows the impact of papers produced by María L. Allende. 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 María L. Allende. The network helps show where María L. Allende may publish in the future.
Co-authorship network
The 25 scholars most cited alongside María L. Allende, 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 | 2024 | 6 | |
| 2 | 2023 | 16 | |
| 3 | 2023 | 4 | |
| 4 | 2020 | 27 | |
| 5 | 2018 | 84 | |
| 6 | 2017 | 44 | |
| 7 | 2014 | 43 | |
| 8 | 2012 | 78 | |
| 9 | 2010 | 145 | |
| 10 | 2010 | 165 | |
| 11 | 2007 | 211 | |
| 12 | 2006 | 167 | |
| 13 | 2005 | 34 | |
| 14 | 2005 | 131 | |
| 15 | 2004 | 381 | |
| 16 | 2004 | 57 | |
| 17 | 2000 | 5 | |
| 18 | 1997 | 4 | |
| 19 | 1995 | 5 | |
| 20 | 1994 | 9 |
About María L. Allende
María L. Allende is a scholar working on Cell Biology, Molecular Biology and Physiology, having authored 36 papers that have together received 5.4k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (22 papers), Glycosylation and Glycoproteins Research (12 papers), Cellular transport and secretion (7 papers), Lysosomal Storage Disorders Research (7 papers), Erythrocyte Function and Pathophysiology (5 papers), Platelet Disorders and Treatments (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Immunology (1.9k citations), Cell Biology (1.2k citations) and Molecular Biology (4.0k citations). María L. Allende has collaborated with scholars based in United States, Argentina and Germany. Frequent co-authors include Richard L. Proia, Ying Xu, Jason G. Cyster, Charles G. Lo, Guy Cinamon, Mehrdad Matloubian, Volker Brinkmann, Tadashi Yamashita, Suzanne Mandala and Mari Kono. Their work appears in journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.