J Henkel
Impact in
-
- Diet, Metabolism, and Disease
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment
- Adipokines, Inflammation, and Metabolic Diseases
Papers in
- Epidemiology 15
- Liver Disease Diagnosis and Treatment 11
- Adipokines, Inflammation, and Metabolic Diseases 5
-
- Adipose Tissue and Metabolism 8
- Diet and metabolism studies 4
- Co-authors
- Gerhard P. Püschel (18 shared papers)Frank Neuschäfer‐Rube (3 shared papers)Astrid Spruss (2 shared papers)Ina Bergheim (2 shared papers)Annette Schürmann (3 shared papers)Nancy Schanze (2 shared papers)Stephanie Krämer (2 shared papers)Korinna Jöhrens (4 shared papers)
- Journals
- Nutrients (4 papers)Laboratory Investigation (2 papers)Molecular Medicine (2 papers)Scientific Reports (1 paper)Nutrition and Diabetes (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
J Henkel
24 papers receiving 779 citations
Peers
Comparison fields: 5 of 87
- Endocrinology, Diabetes and Metabolism 193
- Epidemiology 354
- Biochemistry 61
- Physiology 207
- Hepatology 60
Countries citing papers authored by J Henkel
This map shows the geographic impact of J Henkel'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 J Henkel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Henkel more than expected).
Fields of papers citing papers by J Henkel
This network shows the impact of papers produced by J Henkel. 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 J Henkel. The network helps show where J Henkel may publish in the future.
Co-authors
The 25 scholars most cited alongside J Henkel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 80 | |
| 2 | 2013 | 76 | |
| 3 | 2022 | 74 | |
| 4 | 2009 | 60 | |
| 5 | 2012 | 58 | |
| 6 | 2011 | 51 | |
| 7 | 2017 | 45 | |
| 8 | 2018 | 41 | |
| 9 | 2018 | 36 | |
| 10 | 2013 | 35 | |
| 11 | 2015 | 34 | |
| 12 | 2016 | 33 | |
| 13 | 2020 | 31 | |
| 14 | 2022 | 27 | |
| 15 | 2015 | 23 | |
| 16 | 2018 | 17 | |
| 17 | 2020 | 16 | |
| 18 | 2020 | 16 | |
| 19 | 2019 | 15 | |
| 20 | 2023 | 9 |
About J Henkel
J Henkel is a scholar working on Epidemiology, Physiology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Oncology, having authored 24 papers that have together received 787 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (11 papers), Adipose Tissue and Metabolism (8 papers), Diet, Metabolism, and Disease (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Diet and metabolism studies (4 papers), Mesenchymal stem cell research (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (193 citations), Epidemiology (354 citations), Biochemistry (61 citations), Physiology (207 citations) and Hepatology (60 citations). J Henkel has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Gerhard P. Püschel, Frank Neuschäfer‐Rube, Astrid Spruss, Ina Bergheim, Annette Schürmann, Nancy Schanze, Stephanie Krämer, Korinna Jöhrens, Stephan C. Bischoff and Giridhar Kanuri. Their work appears in journals such as Nutrients, Laboratory Investigation, Molecular Medicine, Scientific Reports and Nutrition and Diabetes.
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.