D. Young

642 citations
12 papers · 530 · h-index 7

Impact in

Papers in

D. Young

12 papers receiving 495 citations

Peers

D. Young
Comparison fields: 5 of 86
  • Infectious Diseases 331
  • Epidemiology 234
  • Molecular Medicine 33
  • Immunology 77
  • Genetics 98
Replace Charlotte Avanzi with:
Charlotte Avanzi Switzerland
Gary L. Templeton United States
Helen M. Windsor Australia
Sophia Siddiqui United States
P Bossi France
Nami Konomi Japan
Tanvi P. Honap United States
Jörg Hartleib Germany
Dominique Girault New Caledonia
David Bulir Canada
D. Young relative to Charlotte Avanzi Switzerland Charlotte Avanzi's profile →
Citations per field
00.5×5.9×
Charlotte Avanzi · 1×
Citations per year

Countries citing papers authored by D. Young

Since Specialization
Citations

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

Fields of papers citing papers by D. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1996174
2 1997111
3 2001100
4 199853
5 199734
6 199728
7 200117
8 19966
9 20052
10 19662
11
Bangkok Workshop on Leprosy Research. Genome sequencing and its potential applications.
19962
12
Immunoprophylaxis of leprosy--lessons from the TB program.
19961

About D. Young

D. Young is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Molecular Medicine and Immunology, having authored 12 papers that have together received 530 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (6 papers), Mycobacterium research and diagnosis (6 papers), Leprosy Research and Treatment (2 papers), Antibiotic Resistance in Bacteria (2 papers), Metalloenzymes and iron-sulfur proteins (1 paper), CO2 Reduction Techniques and Catalysts (1 paper), Zoonotic diseases and public health (1 paper) and Prion Diseases and Protein Misfolding (1 paper). The work is most often cited by research in Infectious Diseases (331 citations), Epidemiology (234 citations), Molecular Medicine (33 citations), Immunology (77 citations) and Genetics (98 citations). D. Young has collaborated with scholars based in United Kingdom, United States and Norway. Frequent co-authors include James DeMaio, Cynthia W. Ko, Y Zhang, William R. Bishai, G. Michael Taylor, Gordon Turner‐Walker, B. V. Nikonenko, Vladimir Yeremeev, Alexander Apt and Ian M. Orme. Their work appears in journals such as Infection and Immunity, Journal of Clinical Microbiology, The Journal of Immunology, American Journal of Physical Anthropology and Proceedings of the National Academy of Sciences.

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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