Dana Galuska

40 papers receiving 3.0k citations

Peers

Dana Galuska
Comparison fields: 5 of 101
  • Physiology 1.4k
  • Endocrinology, Diabetes and Metabolism 536
  • Molecular Biology 1.9k
  • Cell Biology 432
  • Geriatrics and Gerontology 75
Replace Vincent Aguirre with:
Vincent Aguirre United States
Deanna P. Bracy United States
Jonathan J. Fillmore United States
Sung Sik Choe South Korea
Daniela Gašperíková Slovakia
Hye Lim Noh United States
Ludger Scheja Germany
Louise Lantier United States
Nandakumar Sambandam United States
William Jou United States
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Citations per field
00.5×1.6×
Vincent Aguirre · 1×
Citations per year

Countries citing papers authored by Dana Galuska

Since Specialization
Citations

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

Fields of papers citing papers by Dana Galuska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006306
2 2000290
3 2004252
4 2001251
5 2003203
6 2000168
7 2000167
8 2002154
9 1998103
10 199498
11 200692
12 199488
13 200881
14 200170
15 199168
16 199967
17
Metformin increases insulin-stimulated glucose transport in insulin-resistant human skeletal muscle.
199153
18 200551
19 199350
20 199248

About Dana Galuska

Dana Galuska is a scholar working on Molecular Biology, Physiology, Surgery, Cell Biology and Endocrinology, Diabetes and Metabolism, having authored 40 papers that have together received 3.0k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (25 papers), Adipose Tissue and Metabolism (15 papers), Pancreatic function and diabetes (14 papers), Muscle metabolism and nutrition (10 papers), Diet and metabolism studies (10 papers), Diabetes Management and Research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Physiology (1.4k citations), Endocrinology, Diabetes and Metabolism (536 citations), Molecular Biology (1.9k citations), Cell Biology (432 citations) and Geriatrics and Gerontology (75 citations). Dana Galuska has collaborated with scholars based in Sweden, United States and Denmark. Frequent co-authors include Juleen R. Zierath, Harriet Wallberg‐Henriksson, Alexander Chibalin, Jeffrey W. Ryder, Anna Krook, Marie Björnholm, Tatiana L. Steiler, Lorraine A. Nolte, Maureen Charron and Geoffrey D. Holman. Their work appears in journals such as Diabetologia, Diabetes, The FASEB Journal, Pflügers Archiv - European Journal of Physiology and American Journal of Physiology-Endocrinology and Metabolism.

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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