Ravi Chaudhary

509 citations
15 papers · 364 indexed · h-index 7
Topics
Computational Drug Discovery Methods (2 papers)Photoacoustic and Ultrasonic Imaging (2 papers)Nanoparticle-Based Drug Delivery (2 papers)
Partner nations
IndiaSingaporeChina

In The Last Decade

Ravi Chaudhary

13 papers receiving 358 citations

Peers

Ravi Chaudhary
Comparison fields: 5 of 96
  • Biomedical Engineering 160
  • Materials Chemistry 98
  • Molecular Biology 93
  • Biomaterials 85
  • Physiology 38
Replace Antonella Rocca with:
Antonella Rocca Italy
Maryam Parviz Australia
Igor Grinberg Israel
Yuanyuan Hu China
Shlomo Margel Israel
Yuheng Cao China
Galina N. Maslyakova Russia
Anjali Seth United Kingdom
J.P. Andreux France
Thomas H. Linz United States
Ravi Chaudhary relative to Antonella Rocca Italy Antonella Rocca's profile →
Citations per field
00.5×1.6×
Antonella Rocca · 1×
Citations per year

Countries citing papers authored by Ravi Chaudhary

Since Specialization
Citations

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

Fields of papers citing papers by Ravi Chaudhary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravi Chaudhary

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 2
5 3
6 51
7 27
8 5
9 15
10 18
11 181
12 28
13 23
14
Association of Escherichia coli and Fusobacterium necrophorum with subclinical endometritis in postpartum Murrah buffalo
4
15 5

About Ravi Chaudhary

Ravi Chaudhary is a scholar working on Applied Microbiology and Biotechnology, Critical Care and Intensive Care Medicine and Anesthesiology and Pain Medicine, having authored 15 papers that have together received 364 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers) and Nanoparticle-Based Drug Delivery (2 papers). The work is most often cited by research in Biomaterials (85 citations), Biomedical Engineering (160 citations) and Developmental Neuroscience (9 citations). Ravi Chaudhary has collaborated with scholars based in India, Singapore and China. Frequent co-authors include Balázs Gulyás, Parasuraman Padmanabhan, Sundramurthy Kumar, Ajay Kumar, Ajay Kumar, Aman Chandra Kaushik, Yow‐Ling Shiue, Satya P. Singh, Shaoyu Wang and Dong‐Qing Wei. Their work appears in journals such as PLoS ONE, Acta Biomaterialia and Current Pharmaceutical Design.

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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