Pushpinder Kanda

684 citations
23 papers · 561 · h-index 13

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 6
    • Extracellular vesicles in disease 4
    • Tissue Engineering and Regenerative Medicine 6

Pushpinder Kanda

23 papers receiving 556 citations

Peers

Pushpinder Kanda
Comparison fields: 5 of 75
  • Biomedical Engineering 252
  • Molecular Biology 381
  • Infectious Diseases 60
  • Biomaterials 42
  • Ophthalmology 28
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Ziqi Xiao China
Tiago R. Velho Portugal
Kutsal Turhan Türkiye
Gergely Lautner Hungary
Vijay Kalra India
Nehla Banu Mexico
Franziska Leifer United States
H Nishida Japan
Xiangmei Chen China
Maria M. Stollenwerk Sweden
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Citations per year

Countries citing papers authored by Pushpinder Kanda

Since Specialization
Citations

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

Fields of papers citing papers by Pushpinder Kanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014189
2 201358
3 201450
4 202128
5 201728
6 201926
7 201725
8 201825
9 201219
10 202018
11 201117
12 202314
13 201213
14 201912
15 201912
16 20219
17 20197
18 20125
19 20212
20 20231

About Pushpinder Kanda

Pushpinder Kanda is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Ophthalmology and Biomedical Engineering, having authored 23 papers that have together received 561 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (6 papers), Tissue Engineering and Regenerative Medicine (6 papers), Extracellular vesicles in disease (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Biosensors and Analytical Detection (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Bacteriophages and microbial interactions (2 papers) and Ocular Diseases and Behçet’s Syndrome (2 papers). The work is most often cited by research in Biomedical Engineering (252 citations), Molecular Biology (381 citations), Infectious Diseases (60 citations), Biomaterials (42 citations) and Ophthalmology (28 citations). Pushpinder Kanda has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Yingfu Li, Shuangyan Huan, Bruno J. Salena, Kha Tram, Darryl R. Davis, Sergio D. Aguirre, Duncan J. Stewart, M. Monsur Ali, Weiqi Luo and Suiping Wang. Their work appears in journals such as Theranostics, Journal of Visualized Experiments, Eye, Nature Communications and International Journal of Retina and Vitreous.

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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