Praphulla Chandra Shukla

2.3k citations
39 papers · 1.8k indexed · h-index 17
Topics
CRISPR and Genetic Engineering (5 papers)MicroRNA in disease regulation (4 papers)PARP inhibition in cancer therapy (4 papers)
Partner nations
IndiaCanadaSaudi Arabia

In The Last Decade

Praphulla Chandra Shukla

35 papers receiving 1.7k citations

Peers

Praphulla Chandra Shukla
Comparison fields: 5 of 100
  • Molecular Biology 784
  • Cardiology and Cardiovascular Medicine 555
  • Physiology 352
  • Cancer Research 333
  • Epidemiology 262
Replace Romain Harmancey with:
Romain Harmancey United States
Mutsuo Harada Japan
Johannes Reinhold United Kingdom
Yi Pan Canada
Xiaoxiang Yan China
Bo Ding China
Sophie Nadaud France
Qiulun Lu China
Mirko Völkers Germany
Dale J. Hamilton United States
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Citations per field
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Citations per year

Countries citing papers authored by Praphulla Chandra Shukla

Since Specialization
Citations

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

Fields of papers citing papers by Praphulla Chandra Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Praphulla Chandra Shukla. 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 Praphulla Chandra Shukla. The network helps show where Praphulla Chandra Shukla may publish in the future.

Co-authorship network of co-authors of Praphulla Chandra Shukla

This figure shows the co-authorship network connecting the top 25 collaborators of Praphulla Chandra Shukla. A scholar is included among the top collaborators of Praphulla Chandra Shukla 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 Praphulla Chandra Shukla. Praphulla Chandra Shukla 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 0
3 0
4 6
5 1
6 3
7 2
8 2
9 6
10 43
11 51
12 54
13 22
14 21
15 115
16 44
17 1
18 37
19 98
20 2

About Praphulla Chandra Shukla

Praphulla Chandra Shukla is a scholar working on Cancer Research, Cardiology and Cardiovascular Medicine and Genetics, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), MicroRNA in disease regulation (4 papers) and PARP inhibition in cancer therapy (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (555 citations), Cancer Research (333 citations) and Physiology (352 citations). Praphulla Chandra Shukla has collaborated with scholars based in India, Canada and Saudi Arabia. Frequent co-authors include Subodh Verma, Adrian Quan, Fina Lovren, Hwee Teoh, Mohammed Al‐Omran, Krishna K. Singh, Yi Pan, Milan Gupta, Mark D. Peterson and Yi Pan. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Nature Communications.

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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