Raju Ravikumar

31 papers receiving 555 citations

Peers

Raju Ravikumar
Comparison fields: 5 of 80
  • Molecular Medicine 98
  • Microbiology 110
  • Infectious Diseases 156
  • Endocrinology 35
  • Applied Microbiology and Biotechnology 12
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Shisong Fang China
Patrick Ebner Germany
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Corwin Miller United States
Yuichi Oogai Japan
Janne Kudsk Klitgaard Denmark
Arunava Bandyopadhaya United States
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Tayebeh Farhadi Iran
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Citations per year

Countries citing papers authored by Raju Ravikumar

Since Specialization
Citations

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

Fields of papers citing papers by Raju Ravikumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201569
2 201752
3 201551
4 201941
5 201340
6 201138
7 201535
8 201533
9 201521
10 201917
11 201416
12
Phenotypic identification & molecular detection of bla (ndm-1) gene in multidrug resistant Gram-negative bacilli in a tertiary care centre.
201416
13 201615
14 201415
15 201814
16 201511
17 201711
18 202011
19 201810
20 20168

About Raju Ravikumar

Raju Ravikumar is a scholar working on Infectious Diseases, Epidemiology, Molecular Medicine, Molecular Biology and Microbiology, having authored 32 papers that have together received 565 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (7 papers), Antimicrobial Peptides and Activities (5 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Streptococcal Infections and Treatments (3 papers), Antifungal resistance and susceptibility (3 papers), Infections and bacterial resistance (3 papers), Probiotics and Fermented Foods (3 papers) and Fungal Infections and Studies (2 papers). The work is most often cited by research in Molecular Medicine (98 citations), Microbiology (110 citations), Infectious Diseases (156 citations), Endocrinology (35 citations) and Applied Microbiology and Biotechnology (12 citations). Raju Ravikumar has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include Jayanta Haldar, P. Krishnamoorthy, Goutham B. Manjunath, Bibek Ranjan Shome, Thottethodi Subrahmanya Keshava Prasad, Venkateswarlu Yarlagadda, Akhilesh Pandey, Rekha Arya, S. Adline Princy and Ramachandran Sarojini Santhosh. Their work appears in journals such as OMICS A Journal of Integrative Biology, ACS Infectious Diseases, Frontiers in Microbiology, Clinical Proteomics and Journal of Proteome Research.

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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