Maya Kansara

2.9k citations
31 papers · 2.2k indexed · 2 hit papers · h-index 14
Topics
Cancer Genomics and Diagnostics (9 papers)Cancer-related Molecular Pathways (7 papers)Epigenetics and DNA Methylation (4 papers)

In The Last Decade

Maya Kansara

28 papers receiving 2.1k citations

Hit Papers

Translational biology of osteosarcoma201420262018202220142024250500750

Peers

Maya Kansara
Comparison fields: 5 of 103
  • Molecular Biology 1.3k
  • Cancer Research 631
  • Pulmonary and Respiratory Medicine 580
  • Oncology 574
  • Immunology 229
Replace Jacson Shen with:
Jacson Shen United States
Truong D. Dang United States
Ying Ma China
Shuting Bai United States
Neveen Said United States
Marc Baud’huin France
Hernan Roca United States
Satoru Shintani Japan
Bruno Fuchs Switzerland
Ryo Miyahara Japan
Maya Kansara relative to Jacson Shen United States Jacson Shen's profile →
Citations per field
00.5×
Jacson Shen · 1×
Citations per year

Countries citing papers authored by Maya Kansara

Since Specialization
Citations

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

Fields of papers citing papers by Maya Kansara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Kansara

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Kansara. A scholar is included among the top collaborators of Maya Kansara 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 Maya Kansara. Maya Kansara 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 1
2
Topological barrier to Cas12a activation by circular DNA nanostructures facilitates autocatalysis and transforms DNA/RNA sensingbreakdown →
81
3 0
4 7
5 2
6 6
7 6
8 35
9 1
10 5
11
Translational biology of osteosarcomabreakdown →
978
12 90
13 8
14 74
15 227
16 209
17 49
18 100
19 4
20 76

About Maya Kansara

Maya Kansara is a scholar working on Cancer Research, Health Informatics and Oncology, having authored 31 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (9 papers), Cancer-related Molecular Pathways (7 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Cancer Research (631 citations), Oncology (574 citations) and Molecular Biology (1.3k citations). Maya Kansara has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include David M. Thomas, Mark J. Smyth, Michele W.L. Teng, Michael V. Berridge, John Slavin, Paul J. Simmons, Peter Choong, Melanie Trivett, Nuzhat Ahmed and Carleen Cullinane. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications 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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