Pad Chivukula

1.0k total citations
10 papers, 400 citations indexed

About

Pad Chivukula is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Pad Chivukula has authored 10 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Epidemiology and 2 papers in Infectious Diseases. Recurrent topics in Pad Chivukula's work include RNA Interference and Gene Delivery (5 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Virus-based gene therapy research (2 papers). Pad Chivukula is often cited by papers focused on RNA Interference and Gene Delivery (5 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Virus-based gene therapy research (2 papers). Pad Chivukula collaborates with scholars based in United States, Spain and Japan. Pad Chivukula's co-authors include Kiyoshi Tachikawa, Priya Karmali, Jerel Vega, Inder M. Verma, Pattraranee Limphong, Nina Tonnu, Suvasini Ramaswamy, Shu‐ichi Matsuzawa, Asami Hishiki and Teruki Yanagi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and The Lancet Infectious Diseases.

In The Last Decade

Pad Chivukula

9 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pad Chivukula United States 8 302 89 72 62 45 10 400
A.K.M. Ashiqul Haque Germany 5 368 1.2× 122 1.4× 87 1.2× 66 1.1× 17 0.4× 7 428
Marco A. Poleganov Germany 7 337 1.1× 99 1.1× 82 1.1× 139 2.2× 21 0.5× 8 457
Jennifer Mehalko United States 8 216 0.7× 78 0.9× 180 2.5× 25 0.4× 18 0.4× 12 444
Anja Geisler Germany 10 255 0.8× 195 2.2× 59 0.8× 32 0.5× 34 0.8× 15 364
Ying Feng China 10 107 0.4× 90 1.0× 66 0.9× 41 0.7× 41 0.9× 21 249
Tsubasa Munakata Japan 11 368 1.2× 52 0.6× 66 0.9× 71 1.1× 241 5.4× 16 639
Hoorig Nassanian United States 4 197 0.7× 136 1.5× 47 0.7× 92 1.5× 44 1.0× 5 345
A Yeh United States 6 171 0.6× 45 0.5× 57 0.8× 110 1.8× 116 2.6× 9 386
Baojun Wei China 12 228 0.8× 37 0.4× 24 0.3× 24 0.4× 42 0.9× 22 342

Countries citing papers authored by Pad Chivukula

Since Specialization
Citations

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

Fields of papers citing papers by Pad Chivukula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pad Chivukula

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

All Works

10 of 10 papers shown
1.
Oda, Yoshiaki, et al.. (2024). Persistence of immune responses of a self-amplifying RNA COVID-19 vaccine (ARCT-154) versus BNT162b2. The Lancet Infectious Diseases. 24(4). 341–343. 27 indexed citations
2.
Sawamura, Masanori, Kiyoshi Tachikawa, Rie Hikawa, et al.. (2024). A lipid nanoparticle-based oligodendrocyte-specific mRNA therapy. Molecular Therapy — Nucleic Acids. 35(4). 102380–102380.
3.
Ong, Eugenia Z., Jia Xin Yee, Justin S. G. Ooi, et al.. (2022). Immune gene expression analysis indicates the potential of a self-amplifying Covid-19 mRNA vaccine. npj Vaccines. 7(1). 154–154. 7 indexed citations
4.
Milbank, Edward, Ramón Dı́az-Trelles, Nathalia Romanelli Vicente Dragano, et al.. (2022). Liver lipopolysaccharide binding protein prevents hepatic inflammation in physiological and pathological non-obesogenic conditions. Pharmacological Research. 187. 106562–106562. 11 indexed citations
5.
Comas, Ferran, Ramón Dı́az-Trelles, Aleix Gavaldà‐Navarro, et al.. (2022). Downregulation of peripheral lipopolysaccharide binding protein impacts on perigonadal adipose tissue only in female mice. Biomedicine & Pharmacotherapy. 151. 113156–113156. 3 indexed citations
6.
Latorre, Jèssica, Ramón Dı́az-Trelles, Ferran Comas, et al.. (2022). Downregulation of hepatic lipopolysaccharide binding protein improves lipogenesis-induced liver lipid accumulation. Molecular Therapy — Nucleic Acids. 29. 599–613. 10 indexed citations
7.
Mucker, Eric M., Priya Karmali, Jerel Vega, et al.. (2020). Lipid Nanoparticle Formulation Increases Efficiency of DNA-Vectored Vaccines/Immunoprophylaxis in Animals Including Transchromosomic Bovines. Scientific Reports. 10(1). 8764–8764. 35 indexed citations
8.
Ramaswamy, Suvasini, Nina Tonnu, Kiyoshi Tachikawa, et al.. (2017). Systemic delivery of factor IX messenger RNA for protein replacement therapy. Proceedings of the National Academy of Sciences. 114(10). E1941–E1950. 236 indexed citations
9.
Saayman, Sheena, Amanda Ackley, Jon Burdach, et al.. (2016). Long Non-coding RNA BGas Regulates the Cystic Fibrosis Transmembrane Conductance Regulator. Molecular Therapy. 24(8). 1351–1357. 28 indexed citations
10.
Yanagi, Teruki, et al.. (2016). Lipid Nanoparticle-mediated siRNA Transfer Against PCTAIRE1/PCTK1/Cdk16 Inhibits In Vivo Cancer Growth. Molecular Therapy — Nucleic Acids. 5(6). e327–e327. 43 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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