Divya Murthy

1.6k citations
23 papers · 1.3k · 1 hit paper · h-index 15

Impact in

Papers in

    • Cancer, Hypoxia, and Metabolism 3
    • Cancer, Lipids, and Metabolism 2
    • Pancreatic and Hepatic Oncology Research 3

Divya Murthy

21 papers receiving 1.3k citations

Divya Murthy's Hit Papers

MUC1 and HIF-1alpha Signaling Crosstalk Induces Anabolic Glucose Metabolism to Impart Gemcitabine Resistance to Pancreatic Cancer 2017 · 458 citations
4580+3+6Years since publication100200300400

Peers

Divya Murthy
Comparison fields: 5 of 57
  • Cancer Research 197
  • Geriatrics and Gerontology 40
  • Oncology 247
  • Physiology 14
  • Molecular Biology 191
Replace Aneesha Dasgupta with:
Aneesha Dasgupta United States
Jaime Abrego United States
Tuo Hu China
Puspa Raj Pandey United States
Giovanna Talarico Italy
Adam M. LaBaff United States
Hyeok-Gu Kang South Korea
Markus Kaller Germany
Aya Kobayashi United States
Chun Gong United Kingdom
Divya Murthy relative to Aneesha Dasgupta United States Aneesha Dasgupta's profile →
Citations per field
00.5×2×3.3×
Aneesha Dasgupta · 1×
Citations per year

Countries citing papers authored by Divya Murthy

Since Specialization
Citations

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

Fields of papers citing papers by Divya Murthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MUC1 and HIF-1alpha Signaling Crosstalk Induces Anabolic Glucose Metabolism to Impart Gemcitabine Resistance to Pancreatic Cancer
Hit paper breakdown →
2017458
2 2021108
3 201786
4 201778
5 201873
6 202468
7 202061
8 202256
9 201751
10 202345
11 202039
12 201535
13 202431
14 202327
15 202217
16 202215
17 202510
18 20239
19 20138
20 20256

About Divya Murthy

Divya Murthy is a scholar working on Cancer Research, Oncology, Molecular Biology, Geriatrics and Gerontology and Physiology, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Effects of Radiation Exposure (2 papers), Cancer, Lipids, and Metabolism (2 papers), Lipid Membrane Structure and Behavior (1 paper), Polyamine Metabolism and Applications (1 paper), Sirtuins and Resveratrol in Medicine (1 paper) and Redox biology and oxidative stress (1 paper). The work is most often cited by research in Cancer Research (197 citations), Geriatrics and Gerontology (40 citations), Oncology (247 citations), Physiology (14 citations) and Molecular Biology (191 citations). Divya Murthy has collaborated with scholars based in United States, India and China. Frequent co-authors include Pankaj K. Singh, Kuldeep Singh Attri, Surendra Kumar Shukla, Aneesha Dasgupta, Ryan J. King, Rajesh S. Gokhale, Jaime Abrego, Amrita Ramkumar, Lipi Thukral and Venugopal Gunda. Their work appears in journals such as Cancer Letters, International Journal of Molecular Sciences, Cancer Cell, Frontiers in Physiology and Redox Biology.

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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