Alejandro Aballay
Impact in
- Aging top 0.05%
- Genetics, Aging, and Longevity in Model Organisms
-
- Circadian rhythm and melatonin
Papers in
- Aging 50
- Genetics, Aging, and Longevity in Model Organisms 50
-
- Gut microbiota and health 7
- Co-authors
- Frederick M. Ausubel (4 shared papers)Varsha Singh (6 shared papers)Jennifer L. Tenor (3 shared papers)Jogender Singh (11 shared papers)Peter Yorgey (1 shared paper)Jingru Sun (2 shared papers)Rie Kajino‐Sakamoto (2 shared papers)Xiou Cao (5 shared papers)
- Journals
- eLife (8 papers)Journal of Biological Chemistry (6 papers)Cell Reports (4 papers)Current Biology (4 papers)EMBO Reports (4 papers)
- Partner nations
- United StatesArgentinaIndia
In The Last Decade
Alejandro Aballay
74 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 111
- Aging 2.0k
- Endocrine and Autonomic Systems 684
- Biological Psychiatry 203
- Endocrinology 387
- Parasitology 203
Countries citing papers authored by Alejandro Aballay
This map shows the geographic impact of Alejandro Aballay'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 Alejandro Aballay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejandro Aballay more than expected).
Fields of papers citing papers by Alejandro Aballay
This network shows the impact of papers produced by Alejandro Aballay. 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 Alejandro Aballay. The network helps show where Alejandro Aballay may publish in the future.
Co-authors
The 25 scholars most cited alongside Alejandro Aballay, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 281 | |
| 2 | 2011 | 208 | |
| 3 | 2008 | 182 | |
| 4 | 2006 | 176 | |
| 5 | 2003 | 170 | |
| 6 | 2001 | 164 | |
| 7 | 2002 | 146 | |
| 8 | 2007 | 138 | |
| 9 | 2007 | 129 | |
| 10 | 2000 | 127 | |
| 11 | 2017 | 126 | |
| 12 | 2004 | 120 | |
| 13 | 2010 | 105 | |
| 14 | 2005 | 98 | |
| 15 | 2006 | 80 | |
| 16 | 2009 | 72 | |
| 17 | 2008 | 71 | |
| 18 | 2019 | 70 | |
| 19 | 2019 | 68 | |
| 20 | 2009 | 65 |
About Alejandro Aballay
Alejandro Aballay is a scholar working on Aging, Molecular Biology, Endocrine and Autonomic Systems, Cell Biology and Genetics, having authored 78 papers that have together received 3.6k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (50 papers), Circadian rhythm and melatonin (19 papers), Tryptophan and brain disorders (7 papers), Gut microbiota and health (7 papers), Escherichia coli research studies (5 papers), Cellular transport and secretion (5 papers), Yersinia bacterium, plague, ectoparasites research (4 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). The work is most often cited by research in Aging (2.0k citations), Endocrine and Autonomic Systems (684 citations), Biological Psychiatry (203 citations), Endocrinology (387 citations) and Parasitology (203 citations). Alejandro Aballay has collaborated with scholars based in United States, Argentina and India. Frequent co-authors include Frederick M. Ausubel, Varsha Singh, Jennifer L. Tenor, Jogender Singh, Peter Yorgey, Jingru Sun, Rie Kajino‐Sakamoto, Xiou Cao, Luis S. Mayorga and Eleftherios Mylonakis. Their work appears in journals such as eLife, Journal of Biological Chemistry, Cell Reports, Current Biology and EMBO Reports.
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.