Pavan Kumar Nukala

13 papers receiving 673 citations

Hit Papers

A Comprehensive Review of mRNA Vaccines2023202620242025202350100150200

Peers

Pavan Kumar Nukala
Comparison fields: 5 of 91
  • Biomedical Engineering 227
  • Molecular Biology 220
  • Pharmaceutical Science 187
  • Automotive Engineering 179
  • Infectious Diseases 87
Replace Dipen Desai with:
Dipen Desai India
Gyubin Noh South Korea
Taekwang Keum South Korea
Fabiana Volpe‐Zanutto United Kingdom
Rongbo Zhang China
Juan Pablo Real Argentina
Xueya Zhang China
Mohammed Tarique India
Paula Florian Romania
Iman M. Alfagih Saudi Arabia
Pavan Kumar Nukala relative to Dipen Desai India Dipen Desai's profile →
Citations per field
00.5×7.5×
Dipen Desai · 1×
Citations per year

Countries citing papers authored by Pavan Kumar Nukala

Since Specialization
Citations

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

Fields of papers citing papers by Pavan Kumar Nukala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavan Kumar Nukala

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 7
2 11
3
A Comprehensive Review of mRNA Vaccinesbreakdown →
233
4 82
5 14
6 8
7 11
8 33
9
DEVELOPMENT OF ABUSE DETERRENT FORMULATIONS USING HOT MELT EXTRUSION
1
10 28
11 78
12 51
13 138

About Pavan Kumar Nukala

Pavan Kumar Nukala is a scholar working on Pharmaceutical Science, Toxicology and Anesthesiology and Pain Medicine, having authored 13 papers that have together received 695 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (4 papers), Opioid Use Disorder Treatment (3 papers) and Pain Management and Opioid Use (2 papers). The work is most often cited by research in Pharmaceutical Science (187 citations), Automotive Engineering (179 citations) and Biomedical Engineering (227 citations). Pavan Kumar Nukala has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Ketan Patel, Siddhant Palekar, Pradeep Kumar Bolla, Manali Patki, Arun Butreddy, Vrinda Gote, Sushesh Srivatsa Palakurthi, Nagavendra Kommineni, Wahid Khan and Thomas Kipping. Their work appears in journals such as International Journal of Molecular Sciences, International Journal of Pharmaceutics and Drug Discovery Today.

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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