Hérnan Concha
Impact in
- Physiology top 2%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
- Epidemiology top 5%
- Adipokines, Inflammation, and Metabolic Diseases
Papers in
-
- Ubiquitin and proteasome pathways 1
- Heat shock proteins research 1
-
- Alzheimer's disease research and treatments 2
- Adipose Tissue and Metabolism 2
- Co-authors
- Moustapha Hassan (5 shared papers)Olaf Bergmann (2 shared papers)Peter Arner (2 shared papers)Erik Näslund (2 shared papers)Bruce A. Buchholz (2 shared papers)Pål O. Westermark (2 shared papers)Samuel Bernard (2 shared papers)Kirsty L. Spalding (2 shared papers)
- Journals
- Experimental Hematology (2 papers)Obstetrical & Gynecological Survey (1 paper)Cytokine (1 paper)Stem Cells (1 paper)Lara D. Veeken (1 paper)
- Partner nations
- SwedenUnited StatesGermany
In The Last Decade
Hérnan Concha
12 papers receiving 2.2k citations
Hérnan Concha's Hit Papers
Peers
Comparison fields: 5 of 129
- Physiology 1.0k
- Epidemiology 760
- Endocrine and Autonomic Systems 97
- Cardiology and Cardiovascular Medicine 268
- Genetics 124
Countries citing papers authored by Hérnan Concha
This map shows the geographic impact of Hérnan Concha'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 Hérnan Concha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hérnan Concha more than expected).
Fields of papers citing papers by Hérnan Concha
This network shows the impact of papers produced by Hérnan Concha. 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 Hérnan Concha. The network helps show where Hérnan Concha may publish in the future.
Co-authors
The 25 scholars most cited alongside Hérnan Concha, 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 | Dynamics of fat cell turnover in humans Hit paper breakdown → | 2008 | 1820 |
| 2 | 2008 | 98 | |
| 3 | 2007 | 69 | |
| 4 | 2006 | 62 | |
| 5 | 2008 | 47 | |
| 6 | 2008 | 47 | |
| 7 | 2006 | 38 | |
| 8 | 2008 | 24 | |
| 9 | 2005 | 19 | |
| 10 | 2010 | 16 | |
| 11 | 2012 | 16 | |
| 12 | 2005 | 14 |
About Hérnan Concha
Hérnan Concha is a scholar working on Molecular Biology, Physiology, Epidemiology, Cell Biology and Immunology, having authored 12 papers that have together received 2.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Adipose Tissue and Metabolism (2 papers), Ubiquitin and proteasome pathways (1 paper), Heat shock proteins research (1 paper), NF-κB Signaling Pathways (1 paper), Immunotherapy and Immune Responses (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Physiology (1.0k citations), Epidemiology (760 citations), Endocrine and Autonomic Systems (97 citations), Cardiology and Cardiovascular Medicine (268 citations) and Genetics (124 citations). Hérnan Concha has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Moustapha Hassan, Olaf Bergmann, Peter Arner, Erik Näslund, Bruce A. Buchholz, Pål O. Westermark, Samuel Bernard, Kirsty L. Spalding, Jonas Frisén and Lennart Blomqvist. Their work appears in journals such as Experimental Hematology, Obstetrical & Gynecological Survey, Cytokine, Stem Cells and Lara D. Veeken.
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.