Sandra Galić

7.4k citations
54 papers · 6.0k indexed · 2 hit papers · h-index 33

Sandra Galić

53 papers receiving 5.9k citations

Hit Papers

Single phosphorylation sites in Acc1 and Acc2 regulate li...67120092026201420204008001.2k

Peers

Sandra Galić
Comparison fields: 5 of 129
  • Endocrine and Autonomic Systems 517
  • Physiology 1.9k
  • Molecular Biology 3.3k
  • Epidemiology 1.6k
  • Endocrinology, Diabetes and Metabolism 734
Replace Feng Liu with:
Feng Liu China
Jaswinder K. Sethi United Kingdom
Hideyuki Sakoda Japan
Gürol Tuncman United States
Brice Emanuelli Denmark
Ángela M. Valverde Spain
Kyle L. Hoehn Australia
Renato Lauro Italy
Lale Özcan United States
Laura Herrero Spain
Sandra Galić relative to Feng Liu China Feng Liu's profile →
Citations per field
00.5×
Feng Liu · 1×
Citations per year

Countries citing papers authored by Sandra Galić

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Galić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 202216
4 202164
5 2020101
6 202032
7 202031
8 201770
9 201717
10 201528
11 201550
12 201410
13 2014130
14 201245
15 201263
16 201122
17 2011154
18 2010138
19 2009151
20 2009473

About Sandra Galić

Sandra Galić is a scholar working on Endocrine and Autonomic Systems, Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism and Biochemistry, having authored 54 papers that have together received 6.0k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (27 papers), Pancreatic function and diabetes (17 papers), Adipose Tissue and Metabolism (11 papers), Protein Tyrosine Phosphatases (9 papers), Regulation of Appetite and Obesity (9 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Galectins and Cancer Biology (6 papers) and Diabetes Treatment and Management (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (517 citations), Physiology (1.9k citations), Molecular Biology (3.3k citations), Epidemiology (1.6k citations) and Endocrinology, Diabetes and Metabolism (734 citations). Sandra Galić has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include Gregory R. Steinberg, Jonathan S. Oakhill, Bruce E. Kemp, Tony Tiganis, Nicholas K. Tonks, Morgan D. Fullerton, Zhiping Chen, Kim Loh, Jonathan D. Schertzer and Jane Honeyman. Their work appears in journals such as Journal of Biological Chemistry, Diabetes, Cell Metabolism, Diabetologia and Biochemical Journal.

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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