Tim Peoples

1.4k citations
6 papers · 947 · 1 hit paper · h-index 6

Impact in

    • Diabetes Management and Research
    • Diabetes Treatment and Management
    • Hyperglycemia and glycemic control in critically ill and hospitalized patients
  • Genetics top 10%
    • Diabetes and associated disorders

Papers in

Tim Peoples

6 papers receiving 905 citations

Tim Peoples's Hit Papers

Effectiveness of Sensor-Augmented Insulin-Pump Therapy in Type 1 Diabetes 2010 · 653 citations
6530+5+10Years since publication200400600

Peers

Tim Peoples
Comparison fields: 5 of 66
  • Endocrinology, Diabetes and Metabolism 603
  • Genetics 281
  • Surgery 321
  • Oncology 148
  • Cancer Research 52
Replace Letizia Pieruzzi with:
Letizia Pieruzzi Italy
William Westra United States
H. Parmar United Kingdom
Pingzhang Tang China
Fabiana Pani Italy
Jeroen de Filette Belgium
Andrea Buonamano Italy
Concetta Sciammarella Italy
Krzysztof Misiukiewicz United States
Andrew B. Tassler United States
Tim Peoples relative to Letizia Pieruzzi Italy Letizia Pieruzzi's profile →
Citations per field
00.5×5.1×
Letizia Pieruzzi · 1×
Citations per year

Countries citing papers authored by Tim Peoples

Since Specialization
Citations

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

Fields of papers citing papers by Tim Peoples

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1
Effectiveness of Sensor-Augmented Insulin-Pump Therapy in Type 1 Diabetes
Hit paper breakdown →
2010653
2 2019250
3
Resource utilization with insulin pump therapy for type 2 diabetes mellitus.
201017
4 201112
5 201010
6 20115

About Tim Peoples

Tim Peoples is a scholar working on Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Infectious Diseases, having authored 6 papers that have together received 947 indexed citations. Recurring topics across this work include Diabetes Management and Research (3 papers), Cancer Genomics and Diagnostics (1 paper), Lung Cancer Treatments and Mutations (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (603 citations), Genetics (281 citations), Surgery (321 citations), Oncology (148 citations) and Cancer Research (52 citations). Tim Peoples has collaborated with scholars based in United States, Ireland and Canada. Frequent co-authors include Richard M. Bergenstal, John B. Buse, George Dailey, Stephen N. Davis, John Welsh, Steven M. Willi, William V. Tamborlane, Andrew Ahmann, Carol Joyce and Bruce A. Perkins. Their work appears in journals such as Diabetes Technology & Therapeutics, Primary care diabetes, The Oncologist, New England Journal of Medicine and Journal of Diabetes Science and Technology.

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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