Rakesh Rawal

3.5k citations
214 papers · 2.5k · h-index 26

Impact in

Papers in

    • Circular RNAs in diseases 8
    • RNA modifications and cancer 8
    • MicroRNA in disease regulation 17
    • Cancer-related molecular mechanisms research 12

Rakesh Rawal

191 papers receiving 2.4k citations

Peers

Rakesh Rawal
Comparison fields: 5 of 135
  • Cancer Research 409
  • Computational Theory and Mathematics 289
  • Molecular Biology 1.0k
  • Periodontics 64
  • Otorhinolaryngology 53
Replace Xiaoxin Chen with:
Xiaoxin Chen United States
Jing‐Ru Weng Taiwan
Silvia Balbo United States
Magdalena Górska‐Ponikowska Poland
Gloria M. Calaf Chile
Feroz Khan India
Joseph B. Guttenplan United States
Junko Watanabe Japan
Chandrasekharan Guruvayoorappan India
Jaydip Biswas India
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Citations per field
00.5×10×12.6×
Xiaoxin Chen · 1×
Citations per year

Countries citing papers authored by Rakesh Rawal

Since Specialization
Citations

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

Fields of papers citing papers by Rakesh Rawal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 214 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200586
2 201774
3 200773
4 202071
5 202065
6 202363
7 202055
8 202251
9 201447
10 200542
11 200837
12 202036
13 202136
14 202136
15 199636
16 202135
17 201535
18 202233
19 201829
20 201929

About Rakesh Rawal

Rakesh Rawal is a scholar working on Molecular Biology, Cancer Research, Oncology, Computational Theory and Mathematics and Plant Science, having authored 214 papers that have together received 2.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (26 papers), MicroRNA in disease regulation (17 papers), Cancer-related molecular mechanisms research (12 papers), Circular RNAs in diseases (8 papers), RNA modifications and cancer (8 papers), Cancer Cells and Metastasis (7 papers), Ferroptosis and cancer prognosis (7 papers) and Synthesis and biological activity (7 papers). The work is most often cited by research in Cancer Research (409 citations), Computational Theory and Mathematics (289 citations), Molecular Biology (1.0k citations), Periodontics (64 citations) and Otorhinolaryngology (53 citations). Rakesh Rawal has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Dweipayan Goswami, Priyashi Rao, Prabhudas S. Patel, Kanisha Shah, Shanaya Patel, Sheefa Mirza, Nayan Jain, Beena P. Patel, Meenu Saraf and Jignesh Prajapati. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Scientific Reports, Computers in Biology and Medicine, Molecular Diversity and Anti-Cancer Agents in Medicinal Chemistry.

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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