Jenny D. Chiu

1.3k citations
18 papers · 932 · h-index 14

Impact in

Papers in

Jenny D. Chiu

18 papers receiving 905 citations

Peers

Jenny D. Chiu
Comparison fields: 5 of 88
  • Endocrine and Autonomic Systems 89
  • Physiology 334
  • Endocrinology, Diabetes and Metabolism 160
  • Epidemiology 217
  • Hepatology 50
Replace Cathryn M. Kolka with:
Cathryn M. Kolka United States
Jack A. Sargeant United Kingdom
Anja Mähler Germany
M. Carantoni United States
A. Giancaterini Italy
Sven Haufe Germany
Thorbjørn Grøfte Denmark
Georgios A. Christou Greece
Bruno Geloneze Brazil
Jacob T. Mey United States
Jenny D. Chiu relative to Cathryn M. Kolka United States Cathryn M. Kolka's profile →
Citations per field
00.5×7.1×
Cathryn M. Kolka · 1×
Citations per year

Countries citing papers authored by Jenny D. Chiu

Since Specialization
Citations

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

Fields of papers citing papers by Jenny D. Chiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jenny D. Chiu. 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 Jenny D. Chiu. The network helps show where Jenny D. Chiu may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2006282
2 2007215
3 200776
4 200872
5 201267
6 201134
7 200631
8 200925
9 201523
10 200920
11 201218
12 200517
13 200916
14 201114
15 201513
16 20155
17 20232
18 20152

About Jenny D. Chiu

Jenny D. Chiu is a scholar working on Physiology, Endocrine and Autonomic Systems, Epidemiology, Pharmacology and Surgery, having authored 18 papers that have together received 932 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Adipose Tissue and Metabolism (5 papers), Cannabis and Cannabinoid Research (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Diet and metabolism studies (2 papers), Dysphagia Assessment and Management (1 paper) and Protein Interaction Studies and Fluorescence Analysis (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (89 citations), Physiology (334 citations), Endocrinology, Diabetes and Metabolism (160 citations), Epidemiology (217 citations) and Hepatology (50 citations). Jenny D. Chiu has collaborated with scholars based in United States, Austria and Canada. Frequent co-authors include Richard N. Bergman, Stella P. Kim, Karyn J. Catalano, Isabel Hsu, Morvarid Kabir, Joyce M. Richey, Marilyn Ader, Katrin Hücking, Erlinda L. Kirkman and Cathryn M. Kolka. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Diabetes, Obesity, Gastroenterology and PLoS ONE.

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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