Dean Lang

499 citations
15 papers · 399 · h-index 9

Impact in

Papers in

    • Genetic Mapping and Diversity in Plants and Animals 7
    • Genetic and phenotypic traits in livestock 4
    • Genetic Associations and Epidemiology 3
    • Gene expression and cancer classification 3

Dean Lang

15 papers receiving 387 citations

Peers

Dean Lang
Comparison fields: 5 of 96
  • Aging 14
  • Orthopedics and Sports Medicine 55
  • Building and Construction 71
  • Human-Computer Interaction 28
  • Management, Monitoring, Policy and Law 59
Replace Timothy Barry with:
Timothy Barry United States
Ziyue Zhao China
Takahiro Yamanoi Japan
A. Nordlund Sweden
Glenn Harris United States
Mark Janssen Netherlands
Erika N. Feldman United States
Erica L. Wohldmann United States
Thomas Aneurin Smith United Kingdom
Matthew Ryan Lavery United States
Dean Lang relative to Timothy Barry United States Timothy Barry's profile →
Citations per field
00.5×10×15×17.8×
Timothy Barry · 1×
Citations per year

Countries citing papers authored by Dean Lang

Since Specialization
Citations

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

Fields of papers citing papers by Dean Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Dean Lang, 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 Dean Lang Line = papers co-authored together Dean Lang links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2014126
2 201461
3 200553
4 200544
5 200531
6 201019
7 200918
8 200617
9 200515
10 20155
11 20074
12 20133
13 20151
14
Professional and Intercultural Engineering Competencies
20161
15 20201

About Dean Lang

Dean Lang is a scholar working on Genetics, Molecular Biology, Media Technology, Physiology and Building and Construction, having authored 15 papers that have together received 399 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (7 papers), Genetic and phenotypic traits in livestock (4 papers), Genetic Associations and Epidemiology (3 papers), Engineering Education and Curriculum Development (3 papers), Gene expression and cancer classification (3 papers), Building Energy and Comfort Optimization (2 papers), Experimental Learning in Engineering (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Aging (14 citations), Orthopedics and Sports Medicine (55 citations), Building and Construction (71 citations), Human-Computer Interaction (28 citations) and Management, Monitoring, Policy and Law (59 citations). Dean Lang has collaborated with scholars based in United States, Australia and Sweden. Frequent co-authors include Brian Orland, Nilàm Ram, Kevin W. Houser, David J. Vandenbergh, Gerald E. McClearn, George P. Vogler, David A. Blizard, Michael Coccia, Joseph T. Stout and Neil A. Sharkey. Their work appears in journals such as Journal of Bone and Mineral Research, Aging Clinical and Experimental Research, Energy and Buildings, Journal of Environmental Psychology and Exercise and Sport Sciences Reviews.

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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