Sunila Pradeep

6.9k citations
64 papers · 1.9k · h-index 27

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 5%
    • Cancer Cells and Metastasis

Papers in

    • Extracellular vesicles in disease 8
    • RNA modifications and cancer 6
    • Angiogenesis and VEGF in Cancer 5
    • Circular RNAs in diseases 5
    • MicroRNA in disease regulation 14
    • Cancer-related molecular mechanisms research 11
    • Cancer, Lipids, and Metabolism 5
    • Cancer, Hypoxia, and Metabolism 5

Sunila Pradeep

58 papers receiving 1.9k citations

Peers

Sunila Pradeep
Comparison fields: 5 of 100
  • Cancer Research 542
  • Oncology 448
  • Immunology and Allergy 100
  • Immunology 328
  • Reproductive Medicine 127
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Justin Bottsford-Miller United States
Donna Hylton United States
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Woondong Jeong United States
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Sunila Pradeep relative to Eiji Toyoda Japan Eiji Toyoda's profile →
Citations per field
00.5×12×
Eiji Toyoda · 1×
Citations per year

Countries citing papers authored by Sunila Pradeep

Since Specialization
Citations

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

Fields of papers citing papers by Sunila Pradeep

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014166
2 2013157
3 201599
4 201498
5 201792
6 201678
7 201676
8 201474
9 201472
10 201765
11 201563
12 201661
13 201661
14 202259
15 202052
16 202449
17 201646
18 201642
19 201740
20 201740

About Sunila Pradeep

Sunila Pradeep is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Immunology, having authored 64 papers that have together received 1.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (14 papers), Cancer-related molecular mechanisms research (11 papers), Extracellular vesicles in disease (8 papers), RNA modifications and cancer (6 papers), Angiogenesis and VEGF in Cancer (5 papers), Cancer, Lipids, and Metabolism (5 papers), Circular RNAs in diseases (5 papers) and Cancer, Hypoxia, and Metabolism (5 papers). The work is most often cited by research in Cancer Research (542 citations), Oncology (448 citations), Immunology and Allergy (100 citations), Immunology (328 citations) and Reproductive Medicine (127 citations). Sunila Pradeep has collaborated with scholars based in United States, India and China. Frequent co-authors include Anil K. Sood, Gabriel Lopez‐Berestein, Cristian Rodriguez‐Aguayo, Cristina Ivan, Lingegowda S. Mangala, Pradeep Chaluvally–Raghavan, Guillermo N. Armaiz-Peña, Rajesha Rupaimoole, Min Soon Cho and Sherry Y. Wu. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Oncogene, Oncotarget and Clinical Cancer Research.

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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