Helen Chang

1.1k citations
24 papers · 904 indexed · h-index 17

Impact in

Papers in

Helen Chang

24 papers receiving 860 citations

Peers

Helen Chang
Comparison fields: 5 of 91
  • Endocrinology, Diabetes and Metabolism 250
  • Physiology 369
  • Physiology 55
  • Endocrine and Autonomic Systems 53
  • Biochemistry 55
Replace Yvan Fischer with:
Yvan Fischer Germany
Armen V. Gyulkhandanyan Canada
Maxim Krikov Germany
Akio Nagasaka Japan
Fumihiko Sakakibara Japan
Nancy J. Hong United States
Marı́a C. Carreras Argentina
G Boccuzzi Italy
Lidia Maianu United States
Donald O. Allen United States
Helen Chang relative to Yvan Fischer Germany Yvan Fischer's profile →
Citations per field
00.5×1.7×
Yvan Fischer · 1×
Citations per year

Countries citing papers authored by Helen Chang

Since Specialization
Citations

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

Fields of papers citing papers by Helen Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20253
2 200843
3 200325
4 200050
5 19957
6 199110
7 199186
8 19898
9 1989108
10 198916
11 1988170
12 198711
13 198521
14 198427
15 198322
16 198316
17 19836
18 197920
19 197960
20 197854

About Helen Chang

Helen Chang is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Biological Psychiatry, Physiology and Endocrine and Autonomic Systems, having authored 24 papers that have together received 904 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (8 papers), Receptor Mechanisms and Signaling (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Adenosine and Purinergic Signaling (3 papers), Diabetes Treatment and Management (3 papers), Pancreatic function and diabetes (3 papers), Muscle metabolism and nutrition (2 papers) and Eicosanoids and Hypertension Pharmacology (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (250 citations), Physiology (369 citations), Physiology (55 citations), Endocrine and Autonomic Systems (53 citations) and Biochemistry (55 citations). Helen Chang has collaborated with scholars based in United States, Taiwan and Spain. Frequent co-authors include Gerald M. Reaven, Brian B. Hoffman, Jerrold M. Olefsky, Salman Azhar, Zohreh Farahbakhsh, Elisabetta Dall’Aglio, Masashi Kobayashi, Helen Ho, B B Hoffman and Eduardo Tolosa. Their work appears in journals such as Diabetes, American Journal of Physiology-Endocrinology and Metabolism, Endocrinology, Hormone and Metabolic Research and Journal of Pharmacology and Experimental Therapeutics.

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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