Ramakrishna Vadde

50 papers receiving 1.1k citations

Hit Papers

In-silico approaches to detect inhibitors of the human severe acute respiratory syndrome coronavirus envelope protein ion channel 2020 · 221 citations
2210+2+4Years since publication50100150200

Peers

Ramakrishna Vadde
Comparison fields: 5 of 102
  • Biochemistry 124
  • Computational Theory and Mathematics 191
  • Complementary and alternative medicine 95
  • Infectious Diseases 173
  • Pharmacology 80
Replace Mohd Shahbaaz with:
Mohd Shahbaaz South Africa
Yeh Chen Taiwan
Dipta Dey Bangladesh
Hsiao‐Chen Dina Kuo United States
Abdelbaset Mohamed Elasbali Saudi Arabia
Mahmoud A. El Hassab Egypt
Mohd Suhail Saudi Arabia
Hee-Kyoung Kang South Korea
Shopnil Akash Bangladesh
Mаhmoud Youns Egypt
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Citations per year

Countries citing papers authored by Ramakrishna Vadde

Since Specialization
Citations

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

Fields of papers citing papers by Ramakrishna Vadde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
In-silico approaches to detect inhibitors of the human severe acute respiratory syndrome coronavirus envelope protein ion channel
Hit paper breakdown →
2020221
2 201594
3 201780
4 201668
5 201565
6 201661
7 201553
8 201837
9 201934
10 201932
11 202027
12 200825
13 200524
14 201923
15 201921
16 201921
17 201621
18 201819
19 201618
20 201618

About Ramakrishna Vadde

Ramakrishna Vadde is a scholar working on Molecular Biology, Plant Science, Oncology, Genetics and Computational Theory and Mathematics, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Ferroptosis and cancer prognosis (3 papers), Nanoparticles: synthesis and applications (3 papers), Cancer Cells and Metastasis (3 papers), Phytochemicals and Antioxidant Activities (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Rice Cultivation and Yield Improvement (2 papers). The work is most often cited by research in Biochemistry (124 citations), Computational Theory and Mathematics (191 citations), Complementary and alternative medicine (95 citations), Infectious Diseases (173 citations) and Pharmacology (80 citations). Ramakrishna Vadde has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Vemula Sarojamma, Gayatri Gouda, Manoj Kumar Gupta, Manoj Gupta, Ravindra Donde, Lambodar Behera, Sridhar Radhakrishnan, Lavanya Reddivari, Jairam Vanamala and Ganji Purnachandra Nagaraju. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Critical Reviews™ in Oncogenesis, BMC Complementary and Alternative Medicine, Current Drug Metabolism and Physiology and Molecular Biology of Plants.

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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