Paul Bertani

1.3k citations
15 papers · 1.1k · 1 hit paper · h-index 8

Impact in

Papers in

Paul Bertani

15 papers receiving 1.1k citations

Paul Bertani's Hit Papers

Large-scale generation of functional mRNA-encapsulating exosomes via cellular nanoporation 2019 · 652 citations
6520+2+4Years since publication200400600

Peers

Paul Bertani
Comparison fields: 5 of 99
  • Cancer Research 256
  • Biotechnology 137
  • Molecular Biology 736
  • Biomedical Engineering 374
  • Cellular and Molecular Neuroscience 105
Replace Veysi Malkoc with:
Veysi Malkoc United States
Bauer L. LeSavage United States
Shreya A. Raghavan United States
Yamin Fan China
Ali C. Ravanpay United States
Sung Pil Kwon South Korea
Ricardo Cruz‐Acuña United States
Moshe Giladi United States
Honghui Wu China
Yoko Endo‐Takahashi Japan
Paul Bertani relative to Veysi Malkoc United States Veysi Malkoc's profile →
Citations per field
00.5×1.5×
Veysi Malkoc · 1×
Citations per year

Countries citing papers authored by Paul Bertani

Since Specialization
Citations

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

Fields of papers citing papers by Paul Bertani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Large-scale generation of functional mRNA-encapsulating exosomes via cellular nanoporation
Hit paper breakdown →
2019652
2 2017141
3 201593
4 201591
5 201668
6 202117
7 202314
8 202314
9 20156
10 20204
11 20123
12 20152
13 20161
14 20231
15 20231

About Paul Bertani

Paul Bertani is a scholar working on Biotechnology, Biomedical Engineering, Cellular and Molecular Neuroscience, Environmental Chemistry and Electrical and Electronic Engineering, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (8 papers), Microbial Inactivation Methods (7 papers), Neuroscience and Neural Engineering (5 papers), RNA Interference and Gene Delivery (2 papers), Aquatic Ecosystems and Phytoplankton Dynamics (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Pluripotent Stem Cells Research (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Cancer Research (256 citations), Biotechnology (137 citations), Molecular Biology (736 citations), Biomedical Engineering (374 citations) and Cellular and Molecular Neuroscience (105 citations). Paul Bertani has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Wu Lu, Chi‐Ling Chiang, Daniel Gallego‐Perez, Lingqian Chang, Veysi Malkoc, L. James Lee, Zhaogang Yang, Tairong Kuang, Junfeng Shi and Keliang Gao. Their work appears in journals such as Nanoscale, Small, Lab on a Chip, Nature Nanotechnology and Parasite Immunology.

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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