SC Bain

847 citations
3 papers · 10 · h-index 2

Impact in

Papers in

Journals
Practical Diabetes International (2 papers)White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (1 paper)
Partner nations
United Kingdom

In The Last Decade

SC Bain

3 papers receiving 10 citations

Peers

SC Bain
Comparison fields: 5 of 9
  • Endocrinology, Diabetes and Metabolism 9
  • Transplantation 1
  • Complementary and alternative medicine 1
  • Genetics 3
  • Surgery 3
Replace S. T. Zyangirova with:
S. T. Zyangirova Russia
R. Sathish
Yuanming Xue China
Dori Khakpour United States
Laura Manjón Spain
Leyla Gaysina Russia
Louise Ambler-Osborn United States
Karen Andruszewski United States
Chantal Mathieu Belgium
Koteshwara Muralidhara United Kingdom
SC Bain relative to S. T. Zyangirova Russia S. T. Zyangirova's profile →
Citations per field
00.5×1.5×
S. T. Zyangirova · 1×
Citations per year

Countries citing papers authored by SC Bain

Since Specialization
Citations

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

Fields of papers citing papers by SC Bain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside SC Bain, 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 SC Bain Line = papers co-authored together SC Bain links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1 20098
2
Heavily reducing pre- and post-exercise rapid-acting insulin dose may cause hyperglycaemia, but does not augment ketonaemia or increase inflammatory cytokines in patients with Type 1 diabetes
20141
3 20041

About SC Bain

SC Bain is a scholar working on Surgery, Nephrology, Transplantation, Endocrinology, Diabetes and Metabolism and Physiology, having authored 3 papers that have together received 10 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Diabetes Management and Research (1 paper), Diet and metabolism studies (1 paper), Diabetes Treatment and Management (1 paper), Renal Transplantation Outcomes and Treatments (1 paper), Diabetes and associated disorders (1 paper), Adipose Tissue and Metabolism (1 paper) and Organ Transplantation Techniques and Outcomes (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (9 citations), Transplantation (1 citation), Complementary and alternative medicine (1 citation), Genetics (3 citations) and Surgery (3 citations). SC Bain has collaborated with scholars based in United Kingdom. Frequent co-authors include Stephen Beer, Anthony Robinson, Douglas Robertson, DR Owens, Cari van Schalkwyk, Niru Goenka, Paula Smith, Richard M. Bracken, M. Susan Walker and Narelle Campbell. Their work appears in journals such as Practical Diabetes International and White Rose Research Online (University of Leeds, The University of Sheffield, University of York).

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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