Nanda Gruben

669 citations
9 papers · 551 indexed · h-index 8

Impact in

  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment
    • Adipokines, Inflammation, and Metabolic Diseases
  • Physiology top 10%
    • Adipose Tissue and Metabolism
    • Diet and metabolism studies

Papers in

Nanda Gruben

9 papers receiving 542 citations

Peers

Nanda Gruben
Comparison fields: 5 of 66
  • Epidemiology 357
  • Physiology 195
  • Endocrinology, Diabetes and Metabolism 116
  • Endocrine and Autonomic Systems 38
  • Hepatology 38
Replace Joey Z. Liu with:
Joey Z. Liu United States
Fareeba Sheedfar Netherlands
Leela Goodspeed United States
Kay H. M. Roumans Netherlands
Ludmila Kazdová Czechia
Dongmei Zheng China
Pascal P. H. Hommelberg Netherlands
Yukiko Kanatani Japan
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Citations per field
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Citations per year

Countries citing papers authored by Nanda Gruben

Since Specialization
Citations

This map shows the geographic impact of Nanda Gruben'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 Nanda Gruben with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nanda Gruben more than expected).

Fields of papers citing papers by Nanda Gruben

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nanda Gruben. 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 Nanda Gruben. The network helps show where Nanda Gruben may publish in the future.

Co-authors

The 25 scholars most cited alongside Nanda Gruben, 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 Nanda Gruben Line = papers co-authored together Nanda Gruben links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2015227
2 2014122
3 202155
4 201547
5 201436
6 201236
7 201320
8 20157
9
Impaired Shedding of TNF Receptor 1 Aggravates High Fat Diet Induced Non-Alcoholic Fatty Liver Disease But Does Not Cause Insulin Resistance in Mice
20121

About Nanda Gruben

Nanda Gruben is a scholar working on Epidemiology, Biochemistry, Hepatology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 551 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (8 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Lipid metabolism and disorders (2 papers), Cholesterol and Lipid Metabolism (2 papers), Diet, Metabolism, and Disease (1 paper), NF-κB Signaling Pathways (1 paper) and Hepatitis C virus research (1 paper). The work is most often cited by research in Epidemiology (357 citations), Physiology (195 citations), Endocrinology, Diabetes and Metabolism (116 citations), Endocrine and Autonomic Systems (38 citations) and Hepatology (38 citations). Nanda Gruben has collaborated with scholars based in Netherlands, United States and Italy. Frequent co-authors include Debby P.Y. Koonen, Marten H. Hofker, Ronit Shiri‐Sverdlov, Niels Kloosterhuis, Alain de Bruin, Pascal P. H. Hommelberg, Sameh A. Youssef, Fareeba Sheedfar, Robert Kleemann and Martine C. Morrison. Their work appears in journals such as Hepatology, Nutrition and Diabetes, Aging, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Atherosclerosis.

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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