David Nelson

1.2k citations
17 papers · 752 indexed · h-index 8

David Nelson

15 papers receiving 668 citations

Peers

David Nelson
Comparison fields: 5 of 98
  • Genetics 419
  • Endocrinology, Diabetes and Metabolism 378
  • Physiology 184
  • Surgery 118
  • Pulmonary and Respiratory Medicine 66
Replace Lori M. Laffel with:
Lori M. Laffel United States
Maryanne Quinn United States
Viji Pulikkel Chandran India
Daohang Sha United States
Mark Horton United States
Rebecca Piccolo United States
Natalie Nanayakkara Australia
Maria Chiara Rossi Italy
Hamed Habib Saudi Arabia
M. J. Karvonen Finland
David Nelson relative to Lori M. Laffel United States Lori M. Laffel's profile →
Citations per field
00.5×6.6×
Lori M. Laffel · 1×
Citations per year

Countries citing papers authored by David Nelson

Since Specialization
Citations

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

Fields of papers citing papers by David Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Nelson

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 7
2 17
3 1
4 21
5 7
6 18
7
An Evaluation of a Diverse Database Teaching Curriculum and the Impact of Research
3
8
Formalizing Types with Ultimate Closure for Middleware Tools in Information Systems Engineering.
1
9 99
10 477
11 12
12 80
13 5
14 2
15
Computer Architecture Study.
0
16 1
17 1

About David Nelson

David Nelson is a scholar working on Chemical Health and Safety, Computer Science Applications and Software, having authored 17 papers that have together received 752 indexed citations. Recurring topics across this work include Global Maternal and Child Health (3 papers), Healthcare Systems and Reforms (2 papers) and Healthcare Policy and Management (2 papers). The work is most often cited by research in Chemical Health and Safety (24 citations), Endocrinology, Diabetes and Metabolism (378 citations) and Genetics (419 citations). David Nelson has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Richard Malley, Ian McCaslin, Mark G. Roback, Kimberly S. Quayle, Jeffrey P. Louie, Nicole Glaser, Nathan Kuppermann, Jennifer L. Trainor, Craig H. Hart and Clyde C. Robinson. Their work appears in journals such as New England Journal of Medicine, Developmental Psychology and The Journal of Pediatrics.

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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