Jacqueline D. Reeves

7.4k citations
62 papers · 5.2k indexed · 1 hit paper · h-index 31

Jacqueline D. Reeves

62 papers receiving 5.1k citations

Hit Papers

Inhibitors of cathepsin L prevent severe acute respirator...8042005202620122019250500750

Peers

Jacqueline D. Reeves
Comparison fields: 5 of 116
  • Virology 2.9k
  • Infectious Diseases 2.9k
  • Immunology 1.8k
  • Animal Science and Zoology 358
  • Epidemiology 1.1k
Replace Tatsuo Shioda with:
Tatsuo Shioda Japan
Ruth M. Ruprecht United States
Zhi-Yong Yang United States
Ruth I. Connor United States
Yaoxing Huang United States
Éva Mária Fenyõ Sweden
Alejandro B. Balazs United States
Yutaka Takebe Japan
Elisa Vicenzi Italy
Robin A. Weiss United Kingdom
Jacqueline D. Reeves relative to Tatsuo Shioda Japan Tatsuo Shioda's profile →
Citations per field
00.5×1.5×2.2×
Tatsuo Shioda · 1×
Citations per year

Countries citing papers authored by Jacqueline D. Reeves

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline D. Reeves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20162
3 201318
4 201116
5 201118
6 201154
7 200942
8
Validation of an Enhanced Sensitivity Trofile™ HIV-1 Co-receptor Tropism Assay
20084
9 200790
10 20063
11 200594
12 200317
13 200317
14
Comparison of CD4-independent infection by HIV-1, HIV-2 and SIV strains, and relevance of receptors other than CCR5 and CXCR4 for infection of primary cell types
20001
15 200065
16 2000103
17 199947
18 199825
19 1997123
20 199335

About Jacqueline D. Reeves

Jacqueline D. Reeves is a scholar working on Virology, Infectious Diseases and Immunology, having authored 62 papers that have together received 5.2k indexed citations. Recurring topics across this work include HIV Research and Treatment (48 papers), HIV/AIDS drug development and treatment (32 papers), Immune Cell Function and Interaction (23 papers), HIV/AIDS Research and Interventions (13 papers), Hepatitis C virus research (8 papers), Hepatitis B Virus Studies (5 papers), Mosquito-borne diseases and control (4 papers) and Cytomegalovirus and herpesvirus research (4 papers). The work is most often cited by research in Virology (2.9k citations), Infectious Diseases (2.9k citations) and Immunology (1.8k citations). Jacqueline D. Reeves has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Graham Simmons, Robert W. Doms, Paul Bates, Andrew J. Rennekamp, Scott L. Diamond, Dhaval N. Gosalia, Andrew J. Piefer, Paul R. Clapham, Patrick W. Gray and Sean M. Amberg. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

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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