R. E. LaPorte

2.0k citations
38 papers · 1.5k indexed · h-index 16

R. E. LaPorte

35 papers receiving 1.3k citations

Peers

R. E. LaPorte
Comparison fields: 5 of 120
  • Endocrinology, Diabetes and Metabolism 496
  • Genetics 442
  • Physiology 292
  • Statistics and Probability 91
  • Cardiology and Cardiovascular Medicine 217
Replace Andreas Beyerlein with:
Andreas Beyerlein Germany
L. Elaine Waetjen United States
P. H. Wise United Kingdom
Ann K. Cashion United States
Avi Ben‐Haroush Israel
Dana Ben‐Ami Shor Israel
T. Stijnen Netherlands
Sebastian‐Edgar Baumeister Germany
Martina Dören Germany
Domenico De Aloysio Italy
R. E. LaPorte relative to Andreas Beyerlein Germany Andreas Beyerlein's profile →
Citations per field
00.5×1.5×2.4×
Andreas Beyerlein · 1×
Citations per year

Countries citing papers authored by R. E. LaPorte

Since Specialization
Citations

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

Fields of papers citing papers by R. E. LaPorte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. E. LaPorte. 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 R. E. LaPorte. The network helps show where R. E. LaPorte may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Experience of a population- based study on needs and health status of affected people in Bam earth Quake
20051
2 20011
3 200114
4
Mortality in patients with childhood-onset type 1 diabetes in Finland, Estonia, and Lithuania
20003
5
A nine-year prospective study on the incidence of childhood type 1 diabetes mellitus in China.
200030
6 19982
7 199731
8 199610
9 19961
10 199511
11
Capture-recapture and multiple-record systems estimation I: History and theoretical development ( Review )
1995127
12 1993101
13 199325
14 199231
15 1992128
16 19915
17 199037
18 19867
19 198228
20 198144

About R. E. LaPorte

R. E. LaPorte is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Statistics and Probability, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Diabetes and associated disorders (12 papers), Diabetes Management and Research (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Physical Activity and Health (4 papers), Diet, Metabolism, and Disease (3 papers), Pancreatic function and diabetes (3 papers), Census and Population Estimation (3 papers) and Obesity, Physical Activity, Diet (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (496 citations), Genetics (442 citations) and Physiology (292 citations). R. E. LaPorte has collaborated with scholars based in United States, China and Japan. Frequent co-authors include L. H. Kuller, D K Wagener, Trevor J. Orchard, A L Drash, Janice S. Dorman, Massimo Trucco, Roslyn A. Stone, J Dorman, Druie Cavender and D J Becker. Their work appears in journals such as Diabetologia, Diabetes, Medicine & Science in Sports & Exercise, American Journal of Epidemiology and American Journal of Public Health.

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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