Deepak Raina

4.1k citations
89 papers · 3.4k · h-index 33

Impact in

  • Oncology top 5%
    • Cancer Cells and Metastasis
    • Glycosylation and Glycoproteins Research
    • RNA modifications and cancer

Papers in

    • Orthopaedic implants and arthroplasty 24
    • Orthopedic Infections and Treatments 9
    • Glycosylation and Glycoproteins Research 14

Deepak Raina

87 papers receiving 3.4k citations

Peers

Deepak Raina
Comparison fields: 5 of 127
  • Oncology 685
  • Molecular Biology 1.8k
  • Immunology 493
  • Cancer Research 292
  • Oral Surgery 125
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Zhaoming Ye China
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Abraham Schneider United States
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Deepak Raina relative to Zhaoming Ye China Zhaoming Ye's profile →
Citations per field
00.5×1.5×1.9×
Zhaoming Ye · 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

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004288
2 2006214
3 2009170
4 2007160
5 2004156
6 2011148
7 2009127
8 2017115
9 2005107
10 2008102
11 201398
12 201591
13 200678
14 200876
15 201869
16 200964
17 202064
18 201662
19 201857
20 201857

About Deepak Raina

Deepak Raina is a scholar working on Surgery, Molecular Biology, Biomedical Engineering, Oncology and Epidemiology, having authored 89 papers that have together received 3.4k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (24 papers), Orthopaedic implants and arthroplasty (24 papers), Glycosylation and Glycoproteins Research (14 papers), Bone health and osteoporosis research (11 papers), Bone fractures and treatments (10 papers), Orthopedic Infections and Treatments (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Bone health and treatments (7 papers). The work is most often cited by research in Oncology (685 citations), Molecular Biology (1.8k citations), Immunology (493 citations), Cancer Research (292 citations) and Oral Surgery (125 citations). Deepak Raina has collaborated with scholars based in Sweden, United States and India. Frequent co-authors include Donald Küfe, Surender Kharbanda, Rehan Ahmad, Lars Lidgren, Magnus Tägil, Jian Ren, Hanna Isaksson, Ashok Kumar, Hasan Rajabi and Colin J. Meyer. Their work appears in journals such as Cancer Research, Acta Biomaterialia, Oncogene, Bone and Joint Research and Tissue Engineering Part A.

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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