John W. Lum

4.4k citations
36 papers · 1.1k indexed · 1 hit paper · h-index 18

John W. Lum

35 papers receiving 1.1k citations

Hit Papers

Trial of Hybrid Closed-Loop Control in Young Children wit...812023202620242025255075

Peers

John W. Lum
Comparison fields: 5 of 78
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Genetics 690
  • Surgery 811
  • Cardiology and Cardiovascular Medicine 57
  • Health Information Management 10
Replace Toni L. Cordero with:
Toni L. Cordero United States
Laya Ekhlaspour United States
Carsten Benesch Germany
Joseph Leitschuh United States
Yelena Nabutovsky United States
Daniel J. Correa United States
Miljan R. Stankovic United States
Shaoping Huang China
A D Leathard United Kingdom
Matthew Tan United Kingdom
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Citations per year

Countries citing papers authored by John W. Lum

Since Specialization
Citations

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

Fields of papers citing papers by John W. Lum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Lum. 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 John W. Lum. The network helps show where John W. Lum may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202412
3 20224
4 202228
5 202216
6 202111
7 202133
8
Using Data to Inform an Educational Staff Training Manual: Pilot Study
20201
9 20201
10 202096
11 2018168
12 201717
13 201628
14 201434
15 20134
16 201334
17 201375
18
Inpatient studies of a Kalman-filter-based predictive pump shutoff algorithm
201216
19 200962
20 200024

About John W. Lum

John W. Lum is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes Management and Research (33 papers), Pancreatic function and diabetes (21 papers), Diabetes and associated disorders (18 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (7 papers), Diabetes Treatment and Management (3 papers), Cardiovascular Function and Risk Factors (2 papers), Intravenous Infusion Technology and Safety (2 papers) and Nerve Injury and Rehabilitation (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Genetics (690 citations) and Surgery (811 citations). John W. Lum has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Roy W. Beck, Bruce A. Buckingham, Craig Kollman, Peter Calhoun, B. Wayne Bequette, David M. Maahs, R. Paul Wadwa, H. Peter Chase, Darrell M. Wilson and Laya Ekhlaspour. Their work appears in journals such as Diabetes Technology & Therapeutics, Diabetes, Diabetes Care, Journal of Diabetes Science and Technology and Pediatric Diabetes.

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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