Deepa Sampath

3.7k citations
69 papers · 2.2k · h-index 26

Impact in

  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • DNA Repair Mechanisms 7
    • Protein Degradation and Inhibitors 5
    • Cell death mechanisms and regulation 5
    • Chronic Lymphocytic Leukemia Research 29

Deepa Sampath

64 papers receiving 2.1k citations

Peers

Deepa Sampath
Comparison fields: 5 of 95
  • Genetics 302
  • Cancer Research 412
  • Oncology 543
  • Molecular Biology 1.4k
  • Hematology 168
Replace Stefan Hart with:
Stefan Hart Singapore
Malin Wickström Sweden
Sajani S. Lakka United States
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Nadine Platet France
Carsten Hagemann Germany
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Juan Carlos Montero Spain
Deepa Sampath relative to Stefan Hart Singapore Stefan Hart's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Deepa Sampath

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Sampath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008185
2 2007168
3 2003165
4 2011157
5 2005112
6 1994105
7
S-Phase arrest by nucleoside analogues and abrogation of survival without cell cycle progression by 7-hydroxystaurosporine.
2001103
8 200792
9 200870
10 201669
11 201258
12 201754
13 201653
14 200250
15 200545
16 201743
17 199740
18 201138
19 201837
20 200637

About Deepa Sampath

Deepa Sampath is a scholar working on Molecular Biology, Genetics, Oncology, Cancer Research and Immunology, having authored 69 papers that have together received 2.2k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (29 papers), DNA Repair Mechanisms (7 papers), MicroRNA in disease regulation (7 papers), Cancer-related Molecular Pathways (6 papers), Advanced Breast Cancer Therapies (6 papers), Lymphoma Diagnosis and Treatment (6 papers), Protein Degradation and Inhibitors (5 papers) and Cell death mechanisms and regulation (5 papers). The work is most often cited by research in Genetics (302 citations), Cancer Research (412 citations), Oncology (543 citations), Molecular Biology (1.4k citations) and Hematology (168 citations). Deepa Sampath has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include William Plunkett, Brett Ewald, Vinay K. Puduvalli, V. Ashutosh Rao, Michael J. Keating, Karin Werrbach‐Perez, Chaomei Liu, George R. Jackson, J. Regino Perez‐Polo and William G. Wierda. Their work appears in journals such as Blood, Clinical Cancer Research, Oncogene, Neuro-Oncology and 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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