Dimple Bhatia

447 citations
27 papers · 329 · h-index 9

Impact in

Papers in

    • PI3K/AKT/mTOR signaling in cancer 8
    • Protein Tyrosine Phosphatases 2
    • Cancer-related Molecular Pathways 6
    • Peptidase Inhibition and Analysis 5
    • Cancer Immunotherapy and Biomarkers 2

Dimple Bhatia

25 papers receiving 309 citations

Peers

Dimple Bhatia
Comparison fields: 5 of 79
  • Information Systems and Management 35
  • Hardware and Architecture 31
  • Oncology 111
  • Computer Networks and Communications 58
  • Molecular Biology 129
Replace Duy Nguyen with:
Duy Nguyen United States
Marie McIlroy Ireland
Sayantan Mitra India
Amy Koshoffer United States
Songmin Jiang China
Euna Jeong South Korea
Yu‐Chin Liu Taiwan
Yi Zeng China
Khuchtumur Bum‐Erdene United States
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Citations per field
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Citations per year

Countries citing papers authored by Dimple Bhatia

Since Specialization
Citations

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

Fields of papers citing papers by Dimple Bhatia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199762
2 200761
3 202153
4 200833
5 201530
6 200814
7 201513
8 201411
9 20128
10 20247
11 20097
12 20134
13 20193
14 20133
15 20123
16 20233
17 20162
18 20192
19 20122
20 20192

About Dimple Bhatia

Dimple Bhatia is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Biotechnology, having authored 27 papers that have together received 329 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (8 papers), Cancer-related Molecular Pathways (6 papers), Cancer, Hypoxia, and Metabolism (5 papers), Peptidase Inhibition and Analysis (5 papers), Cancer Research and Treatments (3 papers), Protein Tyrosine Phosphatases (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Inflammatory mediators and NSAID effects (2 papers). The work is most often cited by research in Information Systems and Management (35 citations), Hardware and Architecture (31 citations), Oncology (111 citations), Computer Networks and Communications (58 citations) and Molecular Biology (129 citations). Dimple Bhatia has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Somesh Sharma, Veena R. Agarwal, Geoffrey Fox, W. Furmański, Maggie J. Rathos, Kalpana Joshi, Sanjay Kumar, Satyendra S. Shenoy, Armin Maier and Vilas Wagh. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Science & Justice, Bioorganic & Medicinal Chemistry Letters and Journal of Clinical Oncology.

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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