Avinash Bajaj

4.6k citations
109 papers · 3.9k · h-index 35

Impact in

Papers in

    • RNA Interference and Gene Delivery 30
    • Advanced biosensing and bioanalysis techniques 18
    • Lipid Membrane Structure and Behavior 18
    • Nanoparticle-Based Drug Delivery 14
    • Supramolecular Self-Assembly in Materials 10

Avinash Bajaj

106 papers receiving 3.8k citations

Peers

Avinash Bajaj
Comparison fields: 5 of 124
  • Biomaterials 784
  • Microbiology 257
  • Molecular Medicine 166
  • Molecular Biology 2.1k
  • Biomedical Engineering 925
Replace Kamaljit Kaur with:
Kamaljit Kaur Canada
Ryan F. Landis United States
Marité Cárdenas Sweden
Kai Yang China
Sandeep Verma India
Igor Chourpa France
Simona Sennato Italy
Luciano Caseli Brazil
Mingdi Yan United States
Guobin Qi China
Avinash Bajaj relative to Kamaljit Kaur Canada Kamaljit Kaur's profile →
Citations per field
00.5×1.7×
Kamaljit Kaur · 1×
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 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011390
2 2009262
3 2009241
4 2009138
5 2016131
6 2007116
7 2012105
8 200896
9 201095
10 200984
11 201477
12 200877
13 200774
14 201173
15 201767
16 200966
17 200756
18 202054
19 200849
20 200746

About Avinash Bajaj

Avinash Bajaj is a scholar working on Molecular Biology, Biomaterials, Microbiology, Organic Chemistry and Biomedical Engineering, having authored 109 papers that have together received 3.9k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (30 papers), Antimicrobial Peptides and Activities (21 papers), Advanced biosensing and bioanalysis techniques (18 papers), Lipid Membrane Structure and Behavior (18 papers), Nanoparticle-Based Drug Delivery (14 papers), Antimicrobial agents and applications (10 papers), Supramolecular Self-Assembly in Materials (10 papers) and Drug Transport and Resistance Mechanisms (9 papers). The work is most often cited by research in Biomaterials (784 citations), Microbiology (257 citations), Molecular Medicine (166 citations), Molecular Biology (2.1k citations) and Biomedical Engineering (925 citations). Avinash Bajaj has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Santanu Bhattacharya, Vincent M. Rotello, Subinoy Rana, Paturu Kondaiah, Rubul Mout, Oscar R. Miranda, D. Joseph Jerry, Uwe H. F. Bunz, Sandeep Kumar and Aasheesh Srivastava. Their work appears in journals such as Nanoscale, Bioconjugate Chemistry, The Journal of Physical Chemistry B, Journal of Medicinal Chemistry and ACS Infectious Diseases.

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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