Gail J. Mick

1.4k citations
45 papers · 1.1k indexed · h-index 12
Topics
Adipose Tissue and Metabolism (10 papers)Pancreatic function and diabetes (9 papers)Diabetes and associated disorders (7 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Gail J. Mick

44 papers receiving 1.1k citations

Peers

Gail J. Mick
Comparison fields: 5 of 78
  • Endocrinology, Diabetes and Metabolism 324
  • Physiology 229
  • Surgery 222
  • Pediatrics, Perinatology and Child Health 210
  • Molecular Biology 206
Replace Pierre-François Bougnères with:
Pierre-François Bougnères France
Lynn A. Burmeister United States
G. Plewe Germany
I Portioli Italy
Marie‐Laure Raffin‐Sanson France
Julius Sagel United States
Omar Serri Canada
Václav Hána Czechia
Alpaslan Tuzcu Türkiye
M. SJÖQUIST Sweden
Gail J. Mick relative to Pierre-François Bougnères France Pierre-François Bougnères's profile →
Citations per field
00.5×1.5×1.8×
Pierre-François Bougnères · 1×
Citations per year

Countries citing papers authored by Gail J. Mick

Since Specialization
Citations

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

Fields of papers citing papers by Gail J. Mick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gail J. Mick. 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 Gail J. Mick. The network helps show where Gail J. Mick may publish in the future.

Co-authorship network of co-authors of Gail J. Mick

This figure shows the co-authorship network connecting the top 25 collaborators of Gail J. Mick. A scholar is included among the top collaborators of Gail J. Mick based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gail J. Mick. Gail J. Mick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 31
3 5
4 3
5 3
6 10
7 4
8 1
9 8
10 8
11 24
12 25
13 0
14 43
15 2
16 422
17 3
18 4
19 2
20 4

About Gail J. Mick

Gail J. Mick is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism and Clinical Biochemistry, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (10 papers), Pancreatic function and diabetes (9 papers) and Diabetes and associated disorders (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (191 citations), Endocrinology, Diabetes and Metabolism (324 citations) and Genetics (184 citations). Gail J. Mick has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Kenneth McCormick, Philip Rubin, Paul D. Woolf, Donald Cann, Louis S. Constine, Richard F. Raubertas, Xudong Wang, Xudong Wang, Prem Shekhawat and Jeffery S. Garland. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and Nature Communications.

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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