Janet L. Douglas

2.1k citations
36 papers · 1.7k indexed · h-index 23
Topics
HIV Research and Treatment (14 papers)Virus-based gene therapy research (13 papers)HIV/AIDS drug development and treatment (9 papers)
Partner nations
United StatesSwitzerland

In The Last Decade

Janet L. Douglas

36 papers receiving 1.7k citations

Peers

Janet L. Douglas
Comparison fields: 5 of 79
  • Epidemiology 681
  • Molecular Biology 678
  • Virology 642
  • Infectious Diseases 575
  • Immunology 363
Replace Kosuke Miyauchi with:
Kosuke Miyauchi Japan
Sabine Hallenberger Germany
Uwe Tessmer Germany
Caroll B. Hartline United States
Ivan Hirsch France
E P Gelmann United States
Mark Kowalski United States
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Mark N. Lee United States
Dyana T. Saenz United States
Janet L. Douglas relative to Kosuke Miyauchi Japan Kosuke Miyauchi's profile →
Citations per field
00.5×1.5×
Kosuke Miyauchi · 1×
Citations per year

Countries citing papers authored by Janet L. Douglas

Since Specialization
Citations

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

Fields of papers citing papers by Janet L. Douglas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janet L. Douglas. 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 Janet L. Douglas. The network helps show where Janet L. Douglas may publish in the future.

Co-authorship network of co-authors of Janet L. Douglas

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 27
2 9
3 33
4 55
5 96
6 49
7 220
8 5
9 27
10 22
11 24
12 17
13 51
14 31
15 14
16 53
17 67
18 23
19 38
20
Modulation of transformation of primary epithelial cells by the second exon of the Ad5 E1A12S gene.
34

About Janet L. Douglas

Janet L. Douglas is a scholar working on Virology, Infectious Diseases and Genetics, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (14 papers), Virus-based gene therapy research (13 papers) and HIV/AIDS drug development and treatment (9 papers). The work is most often cited by research in Virology (642 citations), Infectious Diseases (575 citations) and Epidemiology (681 citations). Janet L. Douglas has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Ashlee V. Moses, Jean K. Gustin, Klaus Früh, Kasinath Viswanathan, Mandana Mansouri, J. Victor Garcia, Matthew N. McCarroll, M P Quinlan, Tomáš Cihlář and Kuei‐Ying Lin. Their work appears in journals such as Journal of Biological Chemistry, Blood and Journal of Virology.

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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