Prashant Chandrasekharan

3.2k citations
47 papers · 2.4k indexed · 1 hit paper · h-index 26
Topics
Characterization and Applications of Magnetic Nanoparticles (28 papers)Nanoparticle-Based Drug Delivery (15 papers)Geomagnetism and Paleomagnetism Studies (15 papers)

In The Last Decade

Prashant Chandrasekharan

44 papers receiving 2.4k citations

Hit Papers

Magnetic Particle Imaging-Guided Heating in Vivo Using Gr...20182026202020232018100200300

Peers

Prashant Chandrasekharan
Comparison fields: 5 of 113
  • Biomedical Engineering 1.7k
  • Molecular Biology 882
  • Biomaterials 786
  • Materials Chemistry 549
  • Atomic and Molecular Physics, and Optics 180
Replace Rainer Tietze with:
Rainer Tietze Germany
Zachary R. Stephen United States
Sheng Tong United States
Marcel De Cuyper Belgium
Xianchuang Zheng China
Maxim A. Abakumov Russia
Ali Abou‐Hassan France
J. Roger France
Beata Chertok United States
A.S. Lübbe Germany
Prashant Chandrasekharan relative to Rainer Tietze Germany Rainer Tietze's profile →
Citations per field
00.5×4.5×
Rainer Tietze · 1×
Citations per year

Countries citing papers authored by Prashant Chandrasekharan

Since Specialization
Citations

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

Fields of papers citing papers by Prashant Chandrasekharan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashant Chandrasekharan

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 5
3 22
4 32
5 40
6 23
7 77
8 61
9 20
10 11
11 163
12 13
13 47
14 108
15 17
16 102
17 17
18 17
19 5
20 76

About Prashant Chandrasekharan

Prashant Chandrasekharan is a scholar working on Biomaterials, Biomedical Engineering and Physiology, having authored 47 papers that have together received 2.4k indexed citations. Recurring topics across this work include Characterization and Applications of Magnetic Nanoparticles (28 papers), Nanoparticle-Based Drug Delivery (15 papers) and Geomagnetism and Paleomagnetism Studies (15 papers). The work is most often cited by research in Biomaterials (786 citations), Biomedical Engineering (1.7k citations) and Molecular Biology (882 citations). Prashant Chandrasekharan has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Steven Conolly, Zhi Wei Tay, Bo Zheng, Jun Ding, Kai‐Hsiang Chuang, Elaine Yu, Daniel Hensley, Patrick Goodwill, Dipak Maity and Chang‐Tong Yang. Their work appears in journals such as Nano Letters, ACS Nano and Journal of Applied Physics.

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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