G. K. Raju

1.4k citations
7 papers · 947 indexed · 1 hit paper · h-index 5
Topics
Computational Drug Discovery Methods (2 papers)Fault Detection and Control Systems (2 papers)Mineral Processing and Grinding (2 papers)
Partner nations
United StatesCanada

In The Last Decade

G. K. Raju

6 papers receiving 905 citations

Hit Papers

Understanding Pharmaceutical Quality by Design20142026201820222014250500750

Peers

G. K. Raju
Comparison fields: 5 of 119
  • Pharmaceutical Science 323
  • Molecular Biology 257
  • Biomedical Engineering 159
  • Analytical Chemistry 136
  • Materials Chemistry 114
Replace Thomas O’Connor with:
Thomas O’Connor United States
Sau L. Lee United States
Naseem A. Charoo United States
Rapti D. Madurawe United States
Sharmista Chatterjee United States
Jelena Djuriš Serbia
Zorica Djurić Serbia
Ravendra Singh United States
Ajaz S. Hussain United States
Raafat Fahmy United States
G. K. Raju relative to Thomas O’Connor United States Thomas O’Connor's profile →
Citations per field
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Thomas O’Connor · 1×
Citations per year

Countries citing papers authored by G. K. Raju

Since Specialization
Citations

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

Fields of papers citing papers by G. K. Raju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. K. Raju

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 0
2 4
3 5
4 11
5
Understanding Pharmaceutical Quality by Designbreakdown →
918
6 2
7 7

About G. K. Raju

G. K. Raju is a scholar working on Statistics and Probability, Pharmaceutical Science and Computational Theory and Mathematics, having authored 7 papers that have together received 947 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (2 papers), Fault Detection and Control Systems (2 papers) and Mineral Processing and Grinding (2 papers). The work is most often cited by research in Pharmaceutical Science (323 citations), Analytical Chemistry (136 citations) and Computational Theory and Mathematics (84 citations). G. K. Raju has collaborated with scholars based in United States and Canada. Frequent co-authors include Janet Woodcock, Lawrence X. Yu, Mansoor A. Khan, Stephen W. Hoag, James E. Polli, Gregory E. Amidon, C. L. Cooney, Richard Pazdur, Paul G. Kluetz and Harpreet Singh. Their work appears in journals such as Clinical Pharmacology & Therapeutics, Orphanet Journal of Rare Diseases and The AAPS Journal.

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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