Paaventhan Palasingam

491 citations
14 papers · 412 indexed · h-index 10
Topics
Pluripotent Stem Cells Research (2 papers)Molecular Biology Techniques and Applications (2 papers)TGF-β signaling in diseases (2 papers)

In The Last Decade

Paaventhan Palasingam

14 papers receiving 407 citations

Peers

Paaventhan Palasingam
Comparison fields: 5 of 66
  • Molecular Biology 326
  • Genetics 69
  • Pharmacology 48
  • Immunology 35
  • Plant Science 29
Replace Soon‐Young Kim with:
Soon‐Young Kim South Korea
Milana Fraiberg Israel
Y You United States
Yilun Qi China
Buddhi Prakash Jain India
Maram Morjen Tunisia
Yuying Zhu China
Van Kelly United Kingdom
Kentaro Kajiwara Japan
Paaventhan Palasingam relative to Soon‐Young Kim South Korea Soon‐Young Kim's profile →
Citations per field
00.5×6.9×
Soon‐Young Kim · 1×
Citations per year

Countries citing papers authored by Paaventhan Palasingam

Since Specialization
Citations

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

Fields of papers citing papers by Paaventhan Palasingam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paaventhan Palasingam

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 3
2 18
3 4
4 84
5 61
6 64
7 4
8 11
9 34
10 17
11 3
12 14
13 70
14 25

About Paaventhan Palasingam

Paaventhan Palasingam is a scholar working on Molecular Biology, Immunology and Allergy and Pharmacology, having authored 14 papers that have together received 412 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (2 papers), Molecular Biology Techniques and Applications (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Molecular Biology (326 citations), Biotechnology (26 citations) and Aging (5 citations). Paaventhan Palasingam has collaborated with scholars based in Singapore, United States and France. Frequent co-authors include Prasanna R. Kolatkar, Ralf Jauch, Calista Keow Leng Ng, Jeremiah S. Joseph, See Voon Seow, Kaw Yan Chua, Nithya Baburajendran, Howard Robinson, Wenjie Sun and Kamesh Narasimhan. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Journal of Molecular Biology.

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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