Lee T. Bacheler

4.9k citations
82 papers · 3.8k indexed · 1 hit paper · h-index 31

Lee T. Bacheler

81 papers receiving 3.6k citations

Hit Papers

Rational Design of Potent, Bioavailable, Nonpeptide Cycli...6801994202620042015200400600

Peers

Lee T. Bacheler
Comparison fields: 5 of 111
  • Virology 2.1k
  • Infectious Diseases 2.1k
  • Organic Chemistry 1.0k
  • Pharmaceutical Science 138
  • Process Chemistry and Technology 55
Replace Daniel W. Norbeck with:
Daniel W. Norbeck United States
Warren M. Kati United States
Sudthida Vasavanonda United States
Christopher McGuigan United Kingdom
Beverly C. Cordova United States
Yasuhiro Koh United States
Akbar Ali United States
John C. Drach United States
Chris Meier Germany
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Lee T. Bacheler relative to Daniel W. Norbeck United States Daniel W. Norbeck's profile →
Citations per field
00.5×3.7×
Daniel W. Norbeck · 1×
Citations per year

Countries citing papers authored by Lee T. Bacheler

Since Specialization
Citations

This map shows the geographic impact of Lee T. Bacheler'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 Lee T. Bacheler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee T. Bacheler more than expected).

Fields of papers citing papers by Lee T. Bacheler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee T. Bacheler. 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 Lee T. Bacheler. The network helps show where Lee T. Bacheler may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201012
2 200925
3 20098
4 200914
5 20074
6
NRTI resistance associated with the RT mutation K70E in HIV-1
20063
7
Protease mutation M89I/V is linked to therapy failure in patients infected with the HIV-1 non-B subtypes C, F or G (vol 20, pg 1789, 2006)
20061
8 200534
9
Application of multiple linear regression modelling to the quantitative prediction of HIV-1 drug susceptibility phenotype from viral genotype
20042
10 200428
11
Quantitative prediction of HIV drug susceptibility from viral genotype through linear regression modelling
20032
12 200167
13 200181
14 19981
15 199819
16 199834
17 199816
18 199411
19 19918
20 199040

About Lee T. Bacheler

Lee T. Bacheler is a scholar working on Virology, Infectious Diseases and Hepatology, having authored 82 papers that have together received 3.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (67 papers), HIV/AIDS drug development and treatment (67 papers), HIV/AIDS Research and Interventions (26 papers), Biochemical and Molecular Research (12 papers), Click Chemistry and Applications (7 papers), T-cell and Retrovirus Studies (7 papers), Virus-based gene therapy research (5 papers) and Pneumocystis jirovecii pneumonia detection and treatment (5 papers). The work is most often cited by research in Virology (2.1k citations), Infectious Diseases (2.1k citations) and Organic Chemistry (1.0k citations). Lee T. Bacheler has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Susan Erickson‐Viitanen, Ronald M. Klabe, Beverly C. Cordova, Chong‐Hwan Chang, Marlene M. Rayner, Prabhakar K. Jadhav, Michaël Otto, James L. Meek, H Fan and Sena Garber. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Virology, AIDS, Antimicrobial Agents and Chemotherapy and Antiviral Therapy.

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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