John W. Lum

4.4k citations
36 papers · 1.1k indexed · 1 hit paper · h-index 18
Topics
Diabetes Management and Research (33 papers)Pancreatic function and diabetes (21 papers)Diabetes and associated disorders (18 papers)
Journals
New England Journal of MedicineSHILAP Revista de lepidopterologíaDiabetes Care
Partner nations
United StatesCanadaItaly

In The Last Decade

John W. Lum

35 papers receiving 1.1k citations

Hit Papers

Trial of Hybrid Closed-Loop Control in Young Children wit...20232026202420252023255075

Peers

John W. Lum
Comparison fields: 5 of 78
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Surgery 811
  • Genetics 690
  • Cardiology and Cardiovascular Medicine 57
  • Biomedical Engineering 40
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
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John W. Lum relative to Toni L. Cordero United States Toni L. Cordero's profile →
Citations per field
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Toni L. Cordero · 1×
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 of co-authors of John W. Lum

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 12
3 4
4 28
5 16
6 11
7 33
8
Using Data to Inform an Educational Staff Training Manual: Pilot Study
1
9 1
10 96
11 168
12 17
13 28
14 34
15 4
16 34
17 75
18
Inpatient studies of a Kalman-filter-based predictive pump shutoff algorithm
16
19 62
20 24

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) and Diabetes and associated disorders (18 papers). 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 New England Journal of Medicine, SHILAP Revista de lepidopterología and Diabetes Care.

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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