Ana C. Liberman
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol 6
- Biological Psychiatry top 5%
- Immunology top 5%
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 5
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- Diabetes Treatment and Management 5
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- Estrogen and related hormone effects 10
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- NF-κB Signaling Pathways 6
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- Heat shock proteins research 5
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- Cytokine Signaling Pathways and Interactions 5
- Co-authors
- Eduardo ArztDamián RefojoJimena DrukerMarcelo Páez-PeredaMarcelo J. PeroneMarta A. ToscanoGünter K. StallaOmar A. Coso
- Journals
- PLoS ONE (5 papers)Annals of the New York Academy of Sciences (3 papers)The FASEB Journal (2 papers)
- Partner nations
- ArgentinaGermanyUnited States
In The Last Decade
Ana C. Liberman
38 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 104
- Behavioral Neuroscience 150
- Biological Psychiatry 81
- Immunology 471
- Endocrinology, Diabetes and Metabolism 364
- Cellular and Molecular Neuroscience 204
Countries citing papers authored by Ana C. Liberman
This map shows the geographic impact of Ana C. Liberman'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 Ana C. Liberman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ana C. Liberman more than expected).
Fields of papers citing papers by Ana C. Liberman
This network shows the impact of papers produced by Ana C. Liberman. 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 Ana C. Liberman. The network helps show where Ana C. Liberman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ana C. Liberman, 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 | 2022 | 15 | |
| 2 | 2019 | 6 | |
| 3 | 2018 | 51 | |
| 4 | 2018 | 51 | |
| 5 | 2016 | 24 | |
| 6 | 2016 | 22 | |
| 7 | 2016 | 7 | |
| 8 | 2014 | 9 | |
| 9 | 2013 | 8 | |
| 10 | 2013 | 62 | |
| 11 | 2012 | 5 | |
| 12 | 2012 | 36 | |
| 13 | 2010 | 3 | |
| 14 | 2009 | 71 | |
| 15 | 2009 | 29 | |
| 16 | Mecanismos moleculares de acción de algunas drogas inmunosupresoras | 2008 | 3 |
| 17 | 2007 | 92 | |
| 18 | 2006 | 162 | |
| 19 | 2006 | 8 | |
| 20 | 2003 | 38 |
About Ana C. Liberman
Ana C. Liberman is a scholar working on Behavioral Neuroscience, Biological Psychiatry, Immunology, Endocrinology, Diabetes and Metabolism and Physiology, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (10 papers), Stress Responses and Cortisol (6 papers), NF-κB Signaling Pathways (6 papers), Immune Cell Function and Interaction (5 papers), Diabetes Treatment and Management (5 papers), T-cell and B-cell Immunology (5 papers), Heat shock proteins research (5 papers) and Cytokine Signaling Pathways and Interactions (5 papers). The work is most often cited by research in Behavioral Neuroscience (150 citations), Biological Psychiatry (81 citations), Immunology (471 citations), Endocrinology, Diabetes and Metabolism (364 citations) and Cellular and Molecular Neuroscience (204 citations). Ana C. Liberman has collaborated with scholars based in Argentina, Germany and United States. Frequent co-authors include Eduardo Arzt, Damián Refojo, Jimena Druker, Marcelo Páez-Pereda, Marcelo J. Perone, Marta A. Toscano, Günter K. Stalla, Omar A. Coso, Mathias Burgmaier and Damián Kovalovsky. Their work appears in journals such as PLoS ONE, Annals of the New York Academy of Sciences, The FASEB Journal, Scientific Reports and Journal of Cellular Biochemistry.
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.