Deepak Raina

418 citations
16 papers · 296 · h-index 6

Impact in

  • Hematology top 10%
    • Chronic Myeloid Leukemia Treatments
    • Glycosylation and Glycoproteins Research
    • Protein Kinase Regulation and GTPase Signaling
    • Cell death mechanisms and regulation
    • Mitochondrial Function and Pathology

Papers in

Deepak Raina

15 papers receiving 288 citations

Peers

Deepak Raina
Comparison fields: 5 of 66
  • Hematology 64
  • Molecular Biology 167
  • Cell Biology 31
  • Oncology 45
  • Immunology 33
Replace Dengyang Zhang with:
Dengyang Zhang China
Shang Su United States
Liping Hu China
Sumiko Takao Japan
Chunjie Yu United States
Wenhui Li China
Kalpana K. Bhanumathy Canada
Eric Shi United States
Longxia Xu China
Nicole Kreuzberg Germany
Deepak Raina relative to Dengyang Zhang China Dengyang Zhang's profile →
Citations per field
00.5×
Dengyang Zhang · 1×
Citations per year

Countries citing papers authored by Deepak Raina

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Raina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 200197
2 200675
3 200346
4 202124
5 200219
6 202111
7 20225
8 20235
9 20243
10 20243
11 20173
12 20192
13 20251
14 20211
15 20021
16 20260

About Deepak Raina

Deepak Raina is a scholar working on Hematology, Ecology, Evolution, Behavior and Systematics, Biomedical Engineering, Surgery and Aerospace Engineering, having authored 16 papers that have together received 296 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (5 papers), Fungal Plant Pathogen Control (4 papers), Surgical Simulation and Training (3 papers), Soft Robotics and Applications (2 papers), Advanced X-ray and CT Imaging (2 papers), Quinazolinone synthesis and applications (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Planetary Science and Exploration (2 papers). The work is most often cited by research in Hematology (64 citations), Molecular Biology (167 citations), Cell Biology (31 citations), Oncology (45 citations) and Immunology (33 citations). Deepak Raina has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Shailendra Kumar, Donald Küfe, Surender Kharbanda, Neerad C. Mishra, Satya Saxena, Ajit Bharti, Jian Ren, Rehan Ahmad, Kiyotsugu Yoshida and Suril V. Shah. Their work appears in journals such as Molecular Pharmacology, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, Journal of Biological Chemistry, Acta Astronautica and IEEE Transactions on Medical Robotics and Bionics.

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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