Shyamala Maheswaran

37.5k citations
130 papers · 20.4k indexed · 8 hit papers · h-index 60

Shyamala Maheswaran

128 papers receiving 20.1k citations

Hit Papers

Clusters of circulating tumor cells traverse ...366200720262013201950010001.5k2.0k2.5k

Peers

Shyamala Maheswaran
Comparison fields: 5 of 153
  • Cancer Research 6.5k
  • Oncology 10.3k
  • Molecular Biology 9.1k
  • Biomedical Engineering 5.3k
  • Pulmonary and Respiratory Medicine 3.7k
Replace Dan G. Duda with:
Dan G. Duda United States
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Citations per field
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Citations per year

Countries citing papers authored by Shyamala Maheswaran

Since Specialization
Citations

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

Fields of papers citing papers by Shyamala Maheswaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Shyamala Maheswaran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shyamala Maheswaran Line = papers co-authored together Shyamala Maheswaran links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20244
4 20237
5 20202
6 201878
7 2017115
8 201535
9
Tunable Nanostructured Coating for the Capture and Selective Release of Viable Circulating Tumor Cells
201529
10 201567
11 2014200
12
Circulating Tumor Cell Clusters Are Oligoclonal Precursors of Breast Cancer Metastasisbreakdown →
20141786
13
Circulating Breast Tumor Cells Exhibit Dynamic Changes in Epithelial and Mesenchymal Compositionbreakdown →
20131928
14 2013110
15 2012217
16 201058
17 200983
18 2008312
19 1999480
20 199472

About Shyamala Maheswaran

Shyamala Maheswaran is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 130 papers that have together received 20.4k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (56 papers), Cancer Genomics and Diagnostics (34 papers), 3D Printing in Biomedical Research (19 papers), Microfluidic and Bio-sensing Technologies (18 papers), Renal and related cancers (15 papers), Epigenetics and DNA Methylation (8 papers), Reproductive Biology and Fertility (7 papers) and Cancer-related gene regulation (7 papers). The work is most often cited by research in Cancer Research (6.5k citations), Oncology (10.3k citations) and Molecular Biology (9.1k citations). Shyamala Maheswaran has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Daniel A. Haber, Mehmet Toner, Shannon L. Stott, Lecia V. Sequist, Min Yu, Sridhar Ramaswamy, Ben S. Wittner, Lindsey Ulkus, Alona Muzikansky and Daniel Irimia. Their work appears in journals such as Cancer Research, Proceedings of the National Academy of Sciences, Genes & Development, Scientific Reports and Journal of Biological Chemistry.

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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