Avinash Bajaj

4.7k citations
111 papers · 4.1k · h-index 36

Impact in

Papers in

    • Nanoparticle-Based Drug Delivery 16
    • RNA Interference and Gene Delivery 15
    • Lipid Membrane Structure and Behavior 13
    • Sphingolipid Metabolism and Signaling 5

Avinash Bajaj

108 papers receiving 4.1k citations

Peers

Avinash Bajaj
Comparison fields: 5 of 111
  • Biomaterials 713
  • Molecular Medicine 233
  • Molecular Biology 1.6k
  • Electronic, Optical and Magnetic Materials 358
  • Pharmaceutical Science 150
Replace Seok Ki Choi with:
Seok Ki Choi United States
Lynne J. Waddington Australia
Guozhang Zou China
Hisakazu Mihara Japan
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Sebyung Kang South Korea
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Christopher A. Alabi United States
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Citations per field
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Citations per year

Countries citing papers authored by Avinash Bajaj

Since Specialization
Citations

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

Fields of papers citing papers by Avinash Bajaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011422
2 2009280
3 2009245
4 2009144
5 2016137
6 2007116
7 2012116
8 2010102
9 200898
10 200986
11 201182
12 200881
13 201481
14 200776
15 201775
16 200970
17 202061
18 200759
19 201550
20 200849

About Avinash Bajaj

Avinash Bajaj is a scholar working on Biomaterials, Molecular Biology, Organic Chemistry, Molecular Medicine and Microbiology, having authored 111 papers that have together received 4.1k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (16 papers), Antimicrobial agents and applications (16 papers), RNA Interference and Gene Delivery (15 papers), Lipid Membrane Structure and Behavior (13 papers), Hydrogels: synthesis, properties, applications (10 papers), Antimicrobial Peptides and Activities (8 papers), Tuberculosis Research and Epidemiology (5 papers) and Sphingolipid Metabolism and Signaling (5 papers). The work is most often cited by research in Biomaterials (713 citations), Molecular Medicine (233 citations), Molecular Biology (1.6k citations), Electronic, Optical and Magnetic Materials (358 citations) and Pharmaceutical Science (150 citations). Avinash Bajaj has collaborated with scholars based in India, United States and France. Frequent co-authors include Santanu Bhattacharya, Vincent M. Rotello, Subinoy Rana, Paturu Kondaiah, Rubul Mout, Oscar R. Miranda, Sandeep Kumar, D. Joseph Jerry, Uwe H. F. Bunz and Aasheesh Srivastava. Their work appears in journals such as Nanoscale, Bioconjugate Chemistry, The Journal of Physical Chemistry B, ACS Biomaterials Science & Engineering and Biomaterials Science.

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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