Hérnan Concha

2.8k citations
12 papers · 2.1k · 1 hit paper · h-index 12

Impact in

  • Physiology top 2%
    • Adipose Tissue and Metabolism
    • Diet and metabolism studies
    • Adipokines, Inflammation, and Metabolic Diseases

Papers in

Hérnan Concha

12 papers receiving 2.1k citations

Hérnan Concha's Hit Papers

Dynamics of fat cell turnover in humans 2008 · 1.7k citations
1.7k0+6+12Years since publication50010001.5k

Peers

Hérnan Concha
Comparison fields: 5 of 128
  • Physiology 1.1k
  • Epidemiology 778
  • Endocrine and Autonomic Systems 106
  • Cardiology and Cardiovascular Medicine 294
  • Aging 22
Replace Karen L. Mohlke with:
Karen L. Mohlke United States
Alexandros Vegiopoulos Germany
Tomáš Mráček Czechia
Margareta Jernås Sweden
John T. Heiker Germany
Swapan K. Das United States
James C. Engert Canada
J Lindner United States
Timothy J. Cole Australia
Jennifer J. Johnston United States
Hérnan Concha relative to Karen L. Mohlke United States Karen L. Mohlke's profile →
Citations per field
00.5×
Karen L. Mohlke · 1×
Citations per year

Countries citing papers authored by Hérnan Concha

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Hérnan Concha Line = papers co-authored together Hérnan Concha links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Dynamics of fat cell turnover in humans
Hit paper breakdown →
20081710
2 200896
3 200763
4 200660
5 200843
6 200842
7 200637
8 200823
9 200519
10 201016
11 201216
12 200514

About Hérnan Concha

Hérnan Concha is a scholar working on Molecular Biology, Physiology, Immunology, Oncology and Epidemiology, having authored 12 papers that have together received 2.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Adipose Tissue and Metabolism (2 papers), Immune Cell Function and Interaction (2 papers), Immunotherapy and Immune Responses (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Galectins and Cancer Biology (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Physiology (1.1k citations), Epidemiology (778 citations), Endocrine and Autonomic Systems (106 citations), Cardiology and Cardiovascular Medicine (294 citations) and Aging (22 citations). Hérnan Concha has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Moustapha Hassan, Olaf Bergmann, Peter Arner, Jonas Frisén, Mikael Rydén, Johan Hoffstedt, Pål O. Westermark, Lennart Blomqvist, Kirsty L. Spalding and Bruce A. Buchholz. Their work appears in journals such as Experimental Hematology, Stem Cells, British Journal of Haematology, Lara D. Veeken and Cytokine.

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.

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