Sravan Kumar Miryala

710 citations
18 papers · 537 indexed · h-index 14
Topics
Computational Drug Discovery Methods (7 papers)Tuberculosis Research and Epidemiology (6 papers)Microbial Natural Products and Biosynthesis (3 papers)
Partner nations
IndiaUnited States

In The Last Decade

Sravan Kumar Miryala

18 papers receiving 530 citations

Peers

Sravan Kumar Miryala
Comparison fields: 5 of 75
  • Molecular Biology 348
  • Computational Theory and Mathematics 118
  • Molecular Medicine 95
  • Infectious Diseases 91
  • Genetics 56
Replace Sharmila Anishetty with:
Sharmila Anishetty India
Lucie Gibold France
Ningyu Zhu China
Kenneth Scott McKeegan United Kingdom
Gareth A. Prosser United Kingdom
Magali Jaillard France
Mauricio Muleiro Álvarez United States
Daniel Andrew Aiello United States
Lalitha Guruprasad India
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Citations per field
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Citations per year

Countries citing papers authored by Sravan Kumar Miryala

Since Specialization
Citations

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

Fields of papers citing papers by Sravan Kumar Miryala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sravan Kumar Miryala. 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 Sravan Kumar Miryala. The network helps show where Sravan Kumar Miryala may publish in the future.

Co-authorship network of co-authors of Sravan Kumar Miryala

This figure shows the co-authorship network connecting the top 25 collaborators of Sravan Kumar Miryala. A scholar is included among the top collaborators of Sravan Kumar Miryala 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 Sravan Kumar Miryala. Sravan Kumar Miryala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 2
2 3
3 22
4 6
5 15
6 16
7 10
8 24
9 45
10 31
11 39
12 49
13 29
14 32
15 38
16 14
17 53
18 109

About Sravan Kumar Miryala

Sravan Kumar Miryala is a scholar working on Molecular Medicine, Computational Theory and Mathematics and Infectious Diseases, having authored 18 papers that have together received 537 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Tuberculosis Research and Epidemiology (6 papers) and Microbial Natural Products and Biosynthesis (3 papers). The work is most often cited by research in Molecular Medicine (95 citations), Computational Theory and Mathematics (118 citations) and Molecular Biology (348 citations). Sravan Kumar Miryala has collaborated with scholars based in India and United States. Frequent co-authors include Sudha Ramaiah, Anand Anbarasu, Reetika Debroy, Aniket Naha, Saravanan Natarajan, Soumya Basu, Yusuf Akhter, Sreenivasulu Kurukuti, Sailu Yellaboina and Rachel A. Katzenellenbogen. Their work appears in journals such as Scientific Reports, Gene and Journal of Cellular Physiology.

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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