Daniel Hochbaum
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Behavioral Neuroscience top 10%
- 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
- Oncology 3
- Cytokine Signaling Pathways and Interactions 1
- 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)Ana C. Liberman (1 shared paper)Damián Kovalovsky (1 shared paper)Marcelo Páez-Pereda (1 shared paper)Damián Refojo (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Scientific Reports (2 papers)British Journal of Cancer (1 paper)PLoS Genetics (1 paper)Transcription (1 paper)
- Partner nations
- United StatesArgentinaGermany
In The Last Decade
Daniel Hochbaum
15 papers receiving 838 citations
Peers
Comparison fields: 5 of 84
- Aging 60
- Behavioral Neuroscience 67
- Cellular and Molecular Neuroscience 193
- Biological Psychiatry 20
- Molecular Biology 499
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 | 229 | |
| 2 | 2005 | 175 | |
| 3 | 2015 | 79 | |
| 4 | 2010 | 76 | |
| 5 | 2007 | 67 | |
| 6 | 2003 | 59 | |
| 7 | 2011 | 51 | |
| 8 | 2010 | 34 | |
| 9 | 2009 | 30 | |
| 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, Oncology, Genetics, Pulmonary and Respiratory Medicine and Genetics, having authored 15 papers that have together received 856 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Phosphodiesterase function and regulation (3 papers), MicroRNA in disease regulation (2 papers), Renal and related cancers (2 papers), RNA Research and Splicing (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Congenital Ear and Nasal Anomalies (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Aging (60 citations), Behavioral Neuroscience (67 citations), Cellular and Molecular Neuroscience (193 citations), Biological Psychiatry (20 citations) and Molecular Biology (499 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, Ana C. Liberman, Damián Kovalovsky, Marcelo Páez-Pereda, Damián Refojo, María Julia Marinissen and Federico Coluccio Leskow. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports, British Journal of Cancer, PLoS Genetics and Transcription.
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.