Duna Massillon

1.8k citations
19 papers · 1.5k · h-index 16

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 9
    • Glycosylation and Glycoproteins Research 2
    • Pancreatic function and diabetes 8

Duna Massillon

19 papers receiving 1.5k citations

Peers

Duna Massillon
Comparison fields: 5 of 91
  • Endocrine and Autonomic Systems 244
  • Physiology 480
  • Aging 32
  • Biochemistry 98
  • Endocrinology, Diabetes and Metabolism 182
Replace Frédéric Tremblay with:
Frédéric Tremblay Canada
X. Julia Xu United States
B Filippi Canada
Yingfeng Deng United States
Svetlana E. Nikoulina United States
Thomas H. Claus United States
Javier Pizarro‐Delgado Spain
Shanghai Chen China
Gerhard P. Püschel Germany
Elhadji M. Dioum United States
Duna Massillon relative to Frédéric Tremblay Canada Frédéric Tremblay's profile →
Citations per field
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Frédéric Tremblay · 1×
Citations per year

Countries citing papers authored by Duna Massillon

Since Specialization
Citations

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

Fields of papers citing papers by Duna Massillon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2001308
2 1997259
3 2007157
4 1996139
5 1997101
6 200586
7 199872
8 200656
9 199455
10 199553
11 200149
12 200336
13 200726
14 200225
15 199523
16 199518
17 20079
18 19909
19 19925

About Duna Massillon

Duna Massillon is a scholar working on Molecular Biology, Surgery, Rheumatology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (9 papers), Glycogen Storage Diseases and Myoclonus (8 papers), Pancreatic function and diabetes (8 papers), Adipose Tissue and Metabolism (4 papers), Diet and metabolism studies (3 papers), Glycosylation and Glycoproteins Research (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Biochemical Analysis and Sensing Techniques (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (244 citations), Physiology (480 citations), Aging (32 citations), Biochemistry (98 citations) and Endocrinology, Diabetes and Metabolism (182 citations). Duna Massillon has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Luciano Rossetti, Nir Barzilai, Meredith Hawkins, Dennis J. Stuehr, Karen A. West, Kulwant S. Aulak, John W. Crabb, Masaru Miyagi, Wei Chen and Patricia Vuguin. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, American Journal of Physiology-Endocrinology and Metabolism, FEBS Letters 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.

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