Maka S. Hedrington

848 citations
19 papers · 653 indexed · h-index 12
Topics
Diabetes Treatment and Management (11 papers)Pancreatic function and diabetes (9 papers)Diabetes Management and Research (9 papers)
Partner nations
United States

In The Last Decade

Maka S. Hedrington

19 papers receiving 634 citations

Peers

Maka S. Hedrington
Comparison fields: 5 of 90
  • Endocrinology, Diabetes and Metabolism 410
  • Molecular Biology 179
  • Surgery 161
  • Genetics 119
  • Physiology 94
Replace Søs Skovsø with:
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Yves Mugabo Canada
Werner Regittnig Austria
Yunzhao Tang China
María Laura Massa Argentina
Alexandre Charbonneau Canada
Caterina Constantinou Greece
Naomi Yasui Japan
Alberto Distefano United States
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Maka S. Hedrington relative to Søs Skovsø Canada Søs Skovsø's profile →
Citations per field
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Citations per year

Countries citing papers authored by Maka S. Hedrington

Since Specialization
Citations

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

Fields of papers citing papers by Maka S. Hedrington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maka S. Hedrington. 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 Maka S. Hedrington. The network helps show where Maka S. Hedrington may publish in the future.

Co-authorship network of co-authors of Maka S. Hedrington

This figure shows the co-authorship network connecting the top 25 collaborators of Maka S. Hedrington. A scholar is included among the top collaborators of Maka S. Hedrington 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 Maka S. Hedrington. Maka S. Hedrington is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 24
2 126
3 27
4 16
5 32
6 7
7 9
8 8
9 5
10 12
11 84
12 11
13 5
14 24
15
Mechanisms of hypoglycemia and exercise-associated autonomic dysfunction.
6
16 17
17 183
18 29
19 28

About Maka S. Hedrington

Maka S. Hedrington is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Physiology, having authored 19 papers that have together received 653 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (11 papers), Pancreatic function and diabetes (9 papers) and Diabetes Management and Research (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (410 citations), Genetics (119 citations) and Endocrine and Autonomic Systems (26 citations). Maka S. Hedrington has collaborated with scholars based in United States. Frequent co-authors include Stephen N. Davis, Donna B. Tate, Nino G. Joy, Andrew C. Ertl, Vanessa Jones Briscoe, Elizabeth M. Lamos, Lisa M. Younk, M. Richardson, Wendell E. Nicholson and Zhihui Wang. Their work appears in journals such as Diabetes Care, Diabetes and Frontiers in Endocrinology.

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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