Raviprasad Aduri

520 citations
20 papers · 375 indexed · h-index 8
Topics
RNA and protein synthesis mechanisms (6 papers)Computational Drug Discovery Methods (4 papers)Mosquito-borne diseases and control (4 papers)
Partner nations
IndiaUnited StatesPoland

In The Last Decade

Raviprasad Aduri

19 papers receiving 372 citations

Peers

Raviprasad Aduri
Comparison fields: 5 of 85
  • Molecular Biology 282
  • Ecology 81
  • Materials Chemistry 27
  • Cancer Research 21
  • Plant Science 18
Replace Stanley C. Kwok with:
Stanley C. Kwok United States
Haihong Wu United States
Peter K. Vlasov Russia
Shuangluo Xia United States
Alexander‐Thomas Hauser Germany
Michael Andreas Juen Austria
Samuel Bowerman United States
Delphine Flatters France
Su‐Hwi Hung United States
Yuri V. Kravatsky Russia
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Citations per field
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Stanley C. Kwok · 1×
Citations per year

Countries citing papers authored by Raviprasad Aduri

Since Specialization
Citations

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

Fields of papers citing papers by Raviprasad Aduri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raviprasad Aduri

This figure shows the co-authorship network connecting the top 25 collaborators of Raviprasad Aduri. A scholar is included among the top collaborators of Raviprasad Aduri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Raviprasad Aduri. Raviprasad Aduri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 4
3 3
4 10
5 3
6 2
7 1
8 0
9 1
10 2
11 11
12 4
13 2
14 15
15 13
16 25
17 7
18 36
19 165
20
Bacterial diversity of a soil sample from Schirmacher Oasis, Antarctica.
69

About Raviprasad Aduri

Raviprasad Aduri is a scholar working on Computational Theory and Mathematics, Physiology and Modeling and Simulation, having authored 20 papers that have together received 375 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), Computational Drug Discovery Methods (4 papers) and Mosquito-borne diseases and control (4 papers). The work is most often cited by research in Molecular Biology (282 citations), Ecology (81 citations) and Virology (8 citations). Raviprasad Aduri has collaborated with scholars based in India, United States and Poland. Frequent co-authors include John SantaLucia, H. Bernhard Schlegel, Brian T. Psciuk, G. S. N. Reddy, S. Shivaji, R. Krishnan Kutty, Katrin Ravenschlag, Christine S. Chow, Yu‐Cheng Chang and Jun Jiang. Their work appears in journals such as Nucleic Acids Research, Scientific Reports and FEBS Letters.

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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