Dipankar Ray

2.3k citations
102 papers · 1.7k · h-index 25

Impact in

  • Oncology top 5%
    • Cancer-related Molecular Pathways
    • Ubiquitin and proteasome pathways
    • RNA modifications and cancer
    • DNA Repair Mechanisms
    • Heat shock proteins research

Papers in

Dipankar Ray

92 papers receiving 1.7k citations

Peers

Dipankar Ray
Comparison fields: 5 of 121
  • Oncology 548
  • Molecular Biology 1000
  • Cell Biology 217
  • Cancer Research 197
  • Nuclear and High Energy Physics 153
Replace Kenji Hamada with:
Kenji Hamada Japan
María Rodríguez Martínez Switzerland
Manabu Kawada Japan
Yasumitsu Kondoh Japan
Abhinav Nellore United States
Yasuhiro Kuramitsu Japan
Alex Lyakhovich Russia
Catherine Lacombe France
C. Lacombe France
M. Lacombe France
Dipankar Ray relative to Kenji Hamada Japan Kenji Hamada's profile →
Citations per field
00.5×3.6×
Kenji Hamada · 1×
Citations per year

Countries citing papers authored by Dipankar Ray

Since Specialization
Citations

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

Fields of papers citing papers by Dipankar Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002119
2 200184
3 201478
4 201273
5 201572
6 200866
7 200763
8 200856
9 200755
10 198852
11 200852
12 200549
13 201144
14 201544
15 201741
16 201137
17 201836
18 202036
19 201836
20 201433

About Dipankar Ray

Dipankar Ray is a scholar working on Molecular Biology, Nuclear and High Energy Physics, Oncology, Statistical and Nonlinear Physics and Astronomy and Astrophysics, having authored 102 papers that have together received 1.7k indexed citations. Recurring topics across this work include Black Holes and Theoretical Physics (22 papers), Cosmology and Gravitation Theories (16 papers), Cancer-related Molecular Pathways (15 papers), Ubiquitin and proteasome pathways (13 papers), Nonlinear Waves and Solitons (12 papers), Microtubule and mitosis dynamics (9 papers), Particle physics theoretical and experimental studies (6 papers) and Advanced Mathematical Physics Problems (6 papers). The work is most often cited by research in Oncology (548 citations), Molecular Biology (1000 citations), Cell Biology (217 citations), Cancer Research (197 citations) and Nuclear and High Energy Physics (153 citations). Dipankar Ray has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Hiroaki Kiyokawa, Theodore S. Lawrence, Mukesh K. Nyati, Xianghong Zou, Konstantin Christov, Alnawaz Rehemtulla, Aarif Ahsan, Evan C. Osmundson, Yasuhisa Terao and David G. Beer. Their work appears in journals such as Neoplasia, Journal of Biological Chemistry, Cancer Research, Physics Letters A and Oncotarget.

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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