Daniel Hochbaum
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 5
- Phosphodiesterase function and regulation 3
- Renal and related cancers 2
- RNA Research and Splicing 2
- S100 Proteins and Annexins 1
- Genetics 2
- Co-authors
- Omar A. Coso (3 shared papers)Daniel L. Altschuler (5 shared papers)Fernando Ribeiro-Neto (4 shared papers)Tamara Tanos (2 shared papers)María Julia Marinissen (1 shared paper)Horacio Martinetto (1 shared paper)Damián Refojo (1 shared paper)Eduardo Arzt (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Scientific Reports (2 papers)Journal of Visualized Experiments (1 paper)Molecular and Cellular Endocrinology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesArgentinaGermany
In The Last Decade
Daniel Hochbaum
15 papers receiving 864 citations
Peers
Comparison fields: 5 of 83
- Aging 60
- Behavioral Neuroscience 71
- Cellular and Molecular Neuroscience 185
- Biological Psychiatry 18
- Endocrinology, Diabetes and Metabolism 112
Countries citing papers authored by Daniel Hochbaum
This map shows the geographic impact of Daniel Hochbaum'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 Daniel Hochbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Hochbaum more than expected).
Fields of papers citing papers by Daniel Hochbaum
This network shows the impact of papers produced by Daniel Hochbaum. 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 Daniel Hochbaum. The network helps show where Daniel Hochbaum may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Hochbaum, 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 | 2002 | 238 | |
| 2 | 2005 | 179 | |
| 3 | 2010 | 82 | |
| 4 | 2015 | 79 | |
| 5 | 2007 | 71 | |
| 6 | 2003 | 59 | |
| 7 | 2011 | 52 | |
| 8 | 2009 | 37 | |
| 9 | 2010 | 35 | |
| 10 | 2010 | 21 | |
| 11 | 2015 | 18 | |
| 12 | 2022 | 6 | |
| 13 | 2018 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 2 |
About Daniel Hochbaum
Daniel Hochbaum is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Oncology and Genetics, having authored 15 papers that have together received 888 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Phosphodiesterase function and regulation (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Renal and related cancers (2 papers), RNA Research and Splicing (2 papers), MicroRNA in disease regulation (2 papers), Renal cell carcinoma treatment (1 paper) and S100 Proteins and Annexins (1 paper). The work is most often cited by research in Aging (60 citations), Behavioral Neuroscience (71 citations), Cellular and Molecular Neuroscience (185 citations), Biological Psychiatry (18 citations) and Endocrinology, Diabetes and Metabolism (112 citations). Daniel Hochbaum has collaborated with scholars based in United States, Argentina and Germany. Frequent co-authors include Omar A. Coso, Daniel L. Altschuler, Fernando Ribeiro-Neto, Tamara Tanos, María Julia Marinissen, Horacio Martinetto, Damián Refojo, Eduardo Arzt, Federico Coluccio Leskow and Damián Kovalovsky. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports, Journal of Visualized Experiments, Molecular and Cellular Endocrinology and Proceedings of the National Academy of 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.