Rajarshi Pal

2.2k citations
59 papers · 1.5k indexed · 1 hit paper · h-index 23
Topics
Pluripotent Stem Cells Research (27 papers)CRISPR and Genetic Engineering (17 papers)Tissue Engineering and Regenerative Medicine (14 papers)

In The Last Decade

Rajarshi Pal

56 papers receiving 1.5k citations

Hit Papers

The current landscape of the mesenchymal stromal cell sec...20152026201820222015100200300

Peers

Rajarshi Pal
Comparison fields: 5 of 128
  • Molecular Biology 868
  • Genetics 417
  • Surgery 353
  • Cancer Research 178
  • Biomedical Engineering 173
Replace Jiaxi Zhou with:
Jiaxi Zhou China
Tian Zhou China
Tomoyuki Yamaguchi Japan
Daniel‐Christoph Wagner Germany
Jeffrey D. Brown United States
Angelos Oikonomopoulos United States
Nicola Smart United Kingdom
Marco Timmer Germany
Pengfei Yu China
Delphine Bohl France
Rajarshi Pal relative to Jiaxi Zhou China Jiaxi Zhou's profile →
Citations per field
00.5×1.5×1.8×
Jiaxi Zhou · 1×
Citations per year

Countries citing papers authored by Rajarshi Pal

Since Specialization
Citations

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

Fields of papers citing papers by Rajarshi Pal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajarshi Pal

This figure shows the co-authorship network connecting the top 25 collaborators of Rajarshi Pal. A scholar is included among the top collaborators of Rajarshi Pal 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 Rajarshi Pal. Rajarshi Pal 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
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3 10
4 37
5 8
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The current landscape of the mesenchymal stromal cell secretome: A new paradigm for cell-free regenerationbreakdown →
358
7 10
8 56
9 8
10 3
11 29
12 21
13 22
14 28
15 13
16 15
17 38
18 30
19 32
20 15

About Rajarshi Pal

Rajarshi Pal is a scholar working on Genetics, Developmental Neuroscience and Molecular Biology, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (27 papers), CRISPR and Genetic Engineering (17 papers) and Tissue Engineering and Regenerative Medicine (14 papers). The work is most often cited by research in Genetics (417 citations), Developmental Neuroscience (83 citations) and Molecular Biology (868 citations). Rajarshi Pal has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Anjan Kumar Das, Murali K. Mamidi, Ramesh Bhonde, Vijay Bhaskar Reddy Konala, Radhika Pochampally, Aparna Khanna, Poulomi Banerjee, M. J. Whitten, Ramesh Bhonde and Durga Prasad Mishra. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the IEEE and Journal of Neurochemistry.

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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