Jennifer Freeling

897 total citations
8 papers, 686 citations indexed

About

Jennifer Freeling is a scholar working on Infectious Diseases, Virology and Emergency Medicine. According to data from OpenAlex, Jennifer Freeling has authored 8 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 6 papers in Virology and 3 papers in Emergency Medicine. Recurrent topics in Jennifer Freeling's work include HIV Research and Treatment (6 papers), HIV/AIDS Research and Interventions (5 papers) and HIV/AIDS drug development and treatment (4 papers). Jennifer Freeling is often cited by papers focused on HIV Research and Treatment (6 papers), HIV/AIDS Research and Interventions (5 papers) and HIV/AIDS drug development and treatment (4 papers). Jennifer Freeling collaborates with scholars based in United States and China. Jennifer Freeling's co-authors include Rodney J. Y. Ho, John C. Kraft, Josefin Koehn, Jianguo Sun, Jinghua Duan, Jingwei Shao, Bowen Li, Yue Ding, John D. Scott and Alipi V. Naydenov and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, Journal of Pharmaceutical Sciences and AIDS.

In The Last Decade

Jennifer Freeling

8 papers receiving 676 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jennifer Freeling United States 8 304 224 135 131 129 8 686
Minakshi Garg India 14 440 1.4× 173 0.8× 70 0.5× 129 1.0× 132 1.0× 18 941
Hrushikesh Agashe India 16 592 1.9× 208 0.9× 83 0.6× 80 0.6× 95 0.7× 20 1.1k
Jane Werling United States 10 212 0.7× 149 0.7× 308 2.3× 243 1.9× 191 1.5× 12 848
Jinghua Duan United States 14 252 0.8× 270 1.2× 146 1.1× 33 0.3× 42 0.3× 19 702
Guy Y. Krippner Australia 22 786 2.6× 143 0.6× 81 0.6× 48 0.4× 96 0.7× 43 1.4k
Zoltán Székely United States 14 252 0.8× 90 0.4× 82 0.6× 36 0.3× 37 0.3× 38 620
Anoma Somasunderam United States 19 563 1.9× 91 0.4× 151 1.1× 89 0.7× 112 0.9× 43 1.0k
Shimon Amselem Israel 19 383 1.3× 332 1.5× 125 0.9× 22 0.2× 59 0.5× 35 935
Marina Santiago Franco Brazil 13 239 0.8× 265 1.2× 161 1.2× 21 0.2× 40 0.3× 25 516
Stephanie E. Barrett United States 11 105 0.3× 60 0.3× 56 0.4× 134 1.0× 163 1.3× 18 460

Countries citing papers authored by Jennifer Freeling

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Freeling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Freeling

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

All Works

8 of 8 papers shown
1.
Cherry, Allison E., Brian R. Haas, Alipi V. Naydenov, et al.. (2016). ST-11: A New Brain-Penetrant Microtubule-Destabilizing Agent with Therapeutic Potential for Glioblastoma Multiforme. Molecular Cancer Therapeutics. 15(9). 2018–2029. 23 indexed citations
2.
Shao, Jingwei, John C. Kraft, Bowen Li, et al.. (2016). Nanodrug Formulations to Enhance HIV Drug Exposure in Lymphoid Tissues and Cells: Clinical Significance and Potential Impact on Treatment and Eradication of HIV/AIDS. Nanomedicine. 11(5). 545–564. 29 indexed citations
3.
Ho, Rodney J. Y., Bowen Li, John C. Kraft, et al.. (2015). Systems Approach to targeted and long-acting HIV/AIDS therapy. Drug Delivery and Translational Research. 5(6). 531–539. 13 indexed citations
4.
Koehn, Josefin, Yue Ding, Jennifer Freeling, Jinghua Duan, & Rodney J. Y. Ho. (2015). A Simple, Efficient, and Sensitive Method for Simultaneous Detection of Anti-HIV Drugs Atazanavir, Ritonavir, and Tenofovir by Use of Liquid Chromatography-Tandem Mass Spectrometry. Antimicrobial Agents and Chemotherapy. 59(11). 6682–6688. 14 indexed citations
5.
Freeling, Jennifer, et al.. (2014). Anti-HIV Drug-Combination Nanoparticles Enhance Plasma Drug Exposure Duration as Well as Triple-Drug Combination Levels in Cells Within Lymph Nodes and Blood in Primates. AIDS Research and Human Retroviruses. 31(1). 107–114. 67 indexed citations
6.
Duan, Jinghua, et al.. (2014). Evaluation of Atazanavir and Darunavir Interactions with Lipids for Developing pH-Responsive Anti-HIV Drug Combination Nanoparticles. Journal of Pharmaceutical Sciences. 103(8). 2520–2529. 33 indexed citations
8.
Kraft, John C., et al.. (2013). Emerging Research and Clinical Development Trends of Liposome and Lipid Nanoparticle Drug Delivery Systems. Journal of Pharmaceutical Sciences. 103(1). 29–52. 452 indexed citations

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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