Deepa Dhawan

21 papers receiving 337 citations

Peers

Deepa Dhawan
Comparison fields: 5 of 62
  • Pediatrics, Perinatology and Child Health 90
  • Ophthalmology 25
  • Neurology 36
  • Pathology and Forensic Medicine 32
  • Surgery 74
Replace Ahmed Hassan with:
Ahmed Hassan Egypt
Fumiaki Kiyomi Japan
Hédi Ben Maïz Tunisia
Hélène Lazareth France
Xiaoxia Shen China
Lisa Lohr United States
Elizabeth A. Atchison United States
Sena Hwang South Korea
Sarah Nadeem Pakistan
Eytan Ruppin United States
Deepa Dhawan relative to Ahmed Hassan Egypt Ahmed Hassan's profile →
Citations per field
00.5×8.2×
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Citations per year

Countries citing papers authored by Deepa Dhawan

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Dhawan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201748
2 201542
3 201232
4 201531
5 199931
6 202022
7 202219
8 201618
9 201615
10 201514
11 201510
12 20159
13 20208
14
Regulatory T cells in pediatric AML are associated with disease load and their serial assessment suggests role in leukemogenesis.
20208
15 20188
16 20207
17 20216
18 20125
19 20174
20 20161

About Deepa Dhawan

Deepa Dhawan is a scholar working on Pediatrics, Perinatology and Child Health, Surgery, Pulmonary and Respiratory Medicine, Ophthalmology and Pathology and Forensic Medicine, having authored 21 papers that have together received 339 indexed citations. Recurring topics across this work include Childhood Cancer Survivors' Quality of Life (6 papers), Ocular Oncology and Treatments (4 papers), Nausea and vomiting management (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Brain Metastases and Treatment (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Glioma Diagnosis and Treatment (2 papers) and Folate and B Vitamins Research (1 paper). The work is most often cited by research in Pediatrics, Perinatology and Child Health (90 citations), Ophthalmology (25 citations), Neurology (36 citations), Pathology and Forensic Medicine (32 citations) and Surgery (74 citations). Deepa Dhawan has collaborated with scholars based in India and United States. Frequent co-authors include Sameer Bakhshi, Atul Batra, Sreenivas Vishnubhatla, Sanjay Thulkar, Vishnubhatla Sreenivas, Sandeep Agarwala, Raja Pramanik, Yogendra Kumar Gupta, Rakesh Kumar and Arun Malhotra. Their work appears in journals such as Journal of Clinical Oncology, BMJ Supportive & Palliative Care, Pediatric Blood & Cancer, Carcinogenesis and Clinical Nutrition.

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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