Shilpee Dutt

2.0k citations
48 papers · 1.5k indexed · h-index 21
  • Genetics top 10%
    • Glioma Diagnosis and Treatment 9
    • Cancer Genomics and Diagnostics 4
    • DNA Repair Mechanisms 9
    • RNA modifications and cancer 6
    • RNA Interference and Gene Delivery 5
    • Advanced biosensing and bioanalysis techniques 5
  • Immunology top 10%
  • Hematology top 10%
    • Acute Myeloid Leukemia Research 5
    • Cancer-related Molecular Pathways 4

Shilpee Dutt

46 papers receiving 1.4k citations

Peers

Shilpee Dutt
Comparison fields: 5 of 103
  • Genetics 154
  • Cancer Research 199
  • Molecular Biology 902
  • Immunology 269
  • Hematology 130
Replace Felix Bachmann with:
Felix Bachmann Switzerland
Matthieu Lacroix France
Wendy Béguelin United States
Maddalena Arigoni Italy
Tove Irene Klokk Norway
Stefan Florian Austria
Harvey W. Smith Canada
Cornelia Rudolph Germany
Michael Certo United States
Samuel K. McBrayer United States
Shilpee Dutt relative to Felix Bachmann Switzerland Felix Bachmann's profile →
Citations per field
00.5×1.5×2.2×
Felix Bachmann · 1×
Citations per year

Countries citing papers authored by Shilpee Dutt

Since Specialization
Citations

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

Fields of papers citing papers by Shilpee Dutt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202410
3 20240
4 202212
5 20224
6 20219
7 20213
8 202035
9 20194
10 201815
11 201824
12 201428
13 201220
14 201119
15 2009133
16 200725
17 200720
18 200676
19 2005207
20 19983

About Shilpee Dutt

Shilpee Dutt is a scholar working on Genetics, Oncology, Cancer Research, Biophysics and Applied Microbiology and Biotechnology, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (9 papers), Glioma Diagnosis and Treatment (9 papers), RNA modifications and cancer (6 papers), RNA Interference and Gene Delivery (5 papers), Acute Myeloid Leukemia Research (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Cancer Genomics and Diagnostics (4 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Genetics (154 citations), Cancer Research (199 citations), Molecular Biology (902 citations), Immunology (269 citations) and Hematology (130 citations). Shilpee Dutt has collaborated with scholars based in India, United States and Switzerland. Frequent co-authors include John Manis, Ekjot Kaur, Benjamin L. Ebert, Anupama Narla, Arati Khanna‐Gupta, Frederick H. Wilson, Treeve Currie, Jayanta Chaudhuri, Katherine I. Lin and Nancy Berliner. Their work appears in journals such as Journal of Cell Science, Blood, Journal of Biological Chemistry, Oncotarget and Nanoscale.

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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