Max Gill
Impact in
-
- Diabetes Management and Research
- Diabetes Treatment and Management
- Diabetes Management and Education
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
-
- Diabetes Management and Research 7
- Diabetes Treatment and Management 4
- Hyperglycemia and glycemic control in critically ill and hospitalized patients 3
- Diabetes, Cardiovascular Risks, and Lipoproteins 1
- Genetics 2
- Diabetes and associated disorders 2
- Co-authors
- Mona Shah (5 shared papers)Francine Kaufman (3 shared papers)Brian K. Reilly (1 shared paper)Megha Bansal (1 shared paper)Robert A. Vigersky (2 shared papers)S.P. Willman (1 shared paper)Guy David (1 shared paper)Steven V. Edelman (1 shared paper)
- Journals
- Journal of Medical Economics (3 papers)Endocrine Practice (1 paper)Journal of Diabetes Science and Technology (1 paper)Applied Health Economics and Health Policy (1 paper)PubMed (1 paper)
- Partner nations
- United States
In The Last Decade
Max Gill
7 papers receiving 93 citations
Peers
Comparison fields: 5 of 33
- Endocrinology, Diabetes and Metabolism 81
- Family Practice 4
- Geriatrics and Gerontology 4
- Genetics 24
- Surgery 35
Countries citing papers authored by Max Gill
This map shows the geographic impact of Max Gill'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 Max Gill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Gill more than expected).
Fields of papers citing papers by Max Gill
This network shows the impact of papers produced by Max Gill. 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 Max Gill. The network helps show where Max Gill may publish in the future.
Co-authors
The 15 scholars most cited alongside Max Gill, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 30 | |
| 2 | 2018 | 27 | |
| 3 | 2018 | 19 | |
| 4 | Switching from multiple daily injections to CSII pump therapy: insulin expenditures in type 2 diabetes. | 2014 | 10 |
| 5 | 2018 | 5 | |
| 6 | 2016 | 5 | |
| 7 | 2018 | 2 |
About Max Gill
Max Gill is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Family Practice, Epidemiology and Economics and Econometrics, having authored 7 papers that have together received 98 indexed citations. Recurring topics across this work include Diabetes Management and Research (7 papers), Diabetes Treatment and Management (4 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers), Diabetes and associated disorders (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Chronic Disease Management Strategies (1 paper), Medication Adherence and Compliance (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (81 citations), Family Practice (4 citations), Geriatrics and Gerontology (4 citations), Genetics (24 citations) and Surgery (35 citations). Max Gill has collaborated with scholars based in United States. Frequent co-authors include Mona Shah, Francine Kaufman, Brian K. Reilly, Megha Bansal, Robert A. Vigersky, S.P. Willman, Guy David, Steven V. Edelman, Candace Gunnarsson and Mark I. Friedman. Their work appears in journals such as Journal of Medical Economics, Endocrine Practice, Journal of Diabetes Science and Technology, Applied Health Economics and Health Policy and PubMed.
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.