Warren E. Hochfeld
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
- Alzheimer's disease research and treatments
- Epidemiology top 10%
- Autophagy in Disease and Therapy
- Adipokines, Inflammation, and Metabolic Diseases
Papers in
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- Autophagy in Disease and Therapy 4
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- Parkinson's Disease Mechanisms and Treatments 3
- Co-authors
- Michael S. Pepper (4 shared papers)Renier Myburgh (2 shared papers)Aus Tariq Ali (1 shared paper)David C. Rubinsztein (4 shared papers)Moisés Garcı́a-Arencibia (2 shared papers)Daniel Metcalf (1 shared paper)Shirley Lee (2 shared papers)Simon L. Goodman (1 shared paper)
- Journals
- Experimental Neurology (1 paper)Seminars in Cell and Developmental Biology (1 paper)Nature Communications (1 paper)Pharmacology & Therapeutics (1 paper)Acta Pharmacologica Sinica (1 paper)
- Partner nations
- United KingdomSwitzerlandSouth Africa
In The Last Decade
Warren E. Hochfeld
8 papers receiving 955 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Physiology 336
- Epidemiology 384
- Geriatrics and Gerontology 33
- Pharmacology 73
- Cell Biology 130
Countries citing papers authored by Warren E. Hochfeld
This map shows the geographic impact of Warren E. Hochfeld'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 Warren E. Hochfeld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Warren E. Hochfeld more than expected).
Fields of papers citing papers by Warren E. Hochfeld
This network shows the impact of papers produced by Warren E. Hochfeld. 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 Warren E. Hochfeld. The network helps show where Warren E. Hochfeld may publish in the future.
Co-authors
The 25 scholars most cited alongside Warren E. Hochfeld, 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 | Adipocyte and adipogenesis Hit paper breakdown → | 2013 | 501 |
| 2 | 2010 | 141 | |
| 3 | 2010 | 112 | |
| 4 | 2015 | 70 | |
| 5 | 2013 | 46 | |
| 6 | 2008 | 42 | |
| 7 | 2013 | 42 | |
| 8 | 2011 | 16 |
About Warren E. Hochfeld
Warren E. Hochfeld is a scholar working on Epidemiology, Neurology, Molecular Biology, Oncology and Pharmacology, having authored 8 papers that have together received 970 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Lysosomal Storage Disorders Research (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Physiology (336 citations), Epidemiology (384 citations), Geriatrics and Gerontology (33 citations), Pharmacology (73 citations) and Cell Biology (130 citations). Warren E. Hochfeld has collaborated with scholars based in United Kingdom, Switzerland and South Africa. Frequent co-authors include Michael S. Pepper, Renier Myburgh, Aus Tariq Ali, David C. Rubinsztein, Moisés Garcı́a-Arencibia, Daniel Metcalf, Shirley Lee, Simon L. Goodman, Arvind P. Pathak and Claudia Puri. Their work appears in journals such as Experimental Neurology, Seminars in Cell and Developmental Biology, Nature Communications, Pharmacology & Therapeutics and Acta Pharmacologica Sinica.
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.