Sheila K. Singh

20.1k citations
158 papers · 13.8k indexed · 5 hit papers · h-index 31
  • Genetics top 0.1%
    • Glioma Diagnosis and Treatment 56
  • Oncology top 0.1%
    • Cancer Cells and Metastasis 41
    • CAR-T cell therapy research 19
    • MicroRNA in disease regulation 9
    • Neurogenesis and neuroplasticity mechanisms 14
    • Epigenetics and DNA Methylation 17
    • Pluripotent Stem Cells Research 11
    • Hedgehog Signaling Pathway Studies 10

Sheila K. Singh

145 papers receiving 13.6k citations

Hit Papers

EMT: Mechanisms and therapeutic i...371200320262010201810002.0k3.0k4.0k5.0k

Peers

Sheila K. Singh
Comparison fields: 5 of 155
  • Genetics 3.8k
  • Oncology 7.1k
  • Cancer Research 3.6k
  • Developmental Neuroscience 876
  • Molecular Biology 6.7k
Replace Anita B. Hjelmeland with:
Anita B. Hjelmeland United States
Shideng Bao United States
Peter B. Dirks Canada
Rolf Bjerkvig Norway
Karl H. Plate Germany
Richard J. Gilbertson United States
Christel Herold‐Mende Germany
Frederick F. Lang United States
David Zagzag United States
Howard Colman United States
Sheila K. Singh relative to Anita B. Hjelmeland United States Anita B. Hjelmeland's profile →
Citations per field
00.5×1.7×
Anita B. Hjelmeland · 1×
Citations per year

Countries citing papers authored by Sheila K. Singh

Since Specialization
Citations

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

Fields of papers citing papers by Sheila K. Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheila K. Singh. 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 Sheila K. Singh. The network helps show where Sheila K. Singh may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Sheila K. Singh, 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 Sheila K. Singh Line = papers co-authored together Sheila K. Singh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20232
4 202315
5 20238
6 202310
7 20231
8 202210
9 20219
10 201928
11 20193
12 201834
13 201827
14 201836
15 20182
16 20172
17 201520
18 201169
19 201147
20 2011104

About Sheila K. Singh

Sheila K. Singh is a scholar working on Genetics, Developmental Neuroscience and Oncology, having authored 158 papers that have together received 13.8k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (56 papers), Cancer Cells and Metastasis (41 papers), CAR-T cell therapy research (19 papers), Epigenetics and DNA Methylation (17 papers), Neurogenesis and neuroplasticity mechanisms (14 papers), Pluripotent Stem Cells Research (11 papers), Hedgehog Signaling Pathway Studies (10 papers) and MicroRNA in disease regulation (9 papers). The work is most often cited by research in Genetics (3.8k citations), Oncology (7.1k citations) and Cancer Research (3.6k citations). Sheila K. Singh has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Peter B. Dirks, Ian D. Clarke, Cynthia Hawkins, Jeremy A. Squire, Takuichiro Hide, Michael D. Cusimano, Jane Bayani, R. Mark Henkelman, Mizuhiko Terasaki and Chitra Venugopal. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and JAMA.

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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2026