D. York

703 citations
14 papers · 583 · h-index 11

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • HIV Research and Treatment 10
    • HIV/AIDS drug development and treatment 6
    • HIV/AIDS Research and Interventions 2

D. York

14 papers receiving 566 citations

Peers

D. York
Comparison fields: 5 of 65
  • Virology 269
  • Infectious Diseases 173
  • Epidemiology 244
  • Immunology 109
  • Molecular Biology 240
Replace Steve S.-L. Chen with:
Steve S.-L. Chen Taiwan
Nigel R. Burns United Kingdom
Els J. M. Hogervorst Netherlands
Yoshii Nishino Japan
K Zingler United States
J D Lifson United States
Bridget A. Robinson United States
J F Rowell United States
Robert Turek Germany
Karen B. Farrell United States
D. York relative to Steve S.-L. Chen Taiwan Steve S.-L. Chen's profile →
Citations per field
00.5×1.5×
Steve S.-L. Chen · 1×
Citations per year

Countries citing papers authored by D. York

Since Specialization
Citations

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

Fields of papers citing papers by D. York

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1986283
2 198783
3 198743
4 198938
5 198824
6 198923
7 200121
8 198814
9
Replication of HIV in human fetal retinal cultures and established pigment epithelial cell lines.
198912
10 198711
11 198810
12 20179
13
Rodent and primate monolayer cells support the expression and assembly of viral particles directed by human immunodeficiency virus (HIV) proviral DNA.
19878
14 19994

About D. York

D. York is a scholar working on Virology, Infectious Diseases, Epidemiology, Emergency Medicine and Immunology, having authored 14 papers that have together received 583 indexed citations. Recurring topics across this work include HIV Research and Treatment (10 papers), HIV/AIDS drug development and treatment (6 papers), HIV-related health complications and treatments (3 papers), Cytomegalovirus and herpesvirus research (2 papers), Animal Disease Management and Epidemiology (2 papers), HIV/AIDS Research and Interventions (2 papers), T-cell and Retrovirus Studies (2 papers) and Vector-Borne Animal Diseases (2 papers). The work is most often cited by research in Virology (269 citations), Infectious Diseases (173 citations), Epidemiology (244 citations), Immunology (109 citations) and Molecular Biology (240 citations). D. York has collaborated with scholars based in United States, Uganda and India. Frequent co-authors include J White, M J Gething, Robert W. Doms, Arjun Srinivasan, C A Bohan, R. Anand, Paul A. Luciw, Gerald Schochetman, Perungavur N. Ranganathan and V. S. Kalyanaraman. Their work appears in journals such as AIDS Research and Human Retroviruses, Archives of Virology, Biochemical and Biophysical Research Communications, The Journal of Cell Biology and Gene.

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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