Kanwaldeep Kaur Rasila

423 citations
9 papers · 345 indexed · h-index 5
Topics
Epigenetics and DNA Methylation (2 papers)Cancer Genomics and Diagnostics (2 papers)Endometriosis Research and Treatment (2 papers)
Partner nations
United States

In The Last Decade

Kanwaldeep Kaur Rasila

8 papers receiving 341 citations

Peers

Kanwaldeep Kaur Rasila
Comparison fields: 5 of 52
  • Molecular Biology 239
  • Oncology 112
  • Immunology 74
  • Plant Science 35
  • Cancer Research 34
Replace Charlène Innocenti with:
Charlène Innocenti France
Hongwen Yao China
Malcolm Farquharson United Kingdom
V. Kroezen Netherlands
Takefumi Ishidao Japan
Karl-Henning Kalland Norway
Narendra K. Bairwa India
Toni M. Yeasky United States
J Spielman United States
Kanwaldeep Kaur Rasila relative to Charlène Innocenti France Charlène Innocenti's profile →
Citations per field
00.5×1.5×1.8×
Charlène Innocenti · 1×
Citations per year

Countries citing papers authored by Kanwaldeep Kaur Rasila

Since Specialization
Citations

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

Fields of papers citing papers by Kanwaldeep Kaur Rasila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kanwaldeep Kaur Rasila. 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 Kanwaldeep Kaur Rasila. The network helps show where Kanwaldeep Kaur Rasila may publish in the future.

Co-authorship network of co-authors of Kanwaldeep Kaur Rasila

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 49
2 4
3 2
4 112
5 50
6 121
7
Tasidotin HCl (Genzyme).
5
8 2
9 0

About Kanwaldeep Kaur Rasila

Kanwaldeep Kaur Rasila is a scholar working on Reproductive Medicine, Cancer Research and Hepatology, having authored 9 papers that have together received 345 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (2 papers), Cancer Genomics and Diagnostics (2 papers) and Endometriosis Research and Treatment (2 papers). The work is most often cited by research in Oncology (112 citations), Immunology (74 citations) and Molecular Biology (239 citations). Kanwaldeep Kaur Rasila has collaborated with scholars based in United States. Frequent co-authors include Robert Hromas, Elizabeth A. Williamson, Jac A. Nickoloff, Zacharie Brahmi, Michael J. Robertson, Richard Dahl, Trevor Starnes, Kent W. Christopherson, Suk‐Hee Lee and Stephen T. Durant. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Oncology.

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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