Indira Gandhi National Tribal University

1.2k papers receiving 16.3k citations

Peers

Indira Gandhi National Tribal University
Comparison fields: 5 of 224
  • Biomaterials 1.4k
  • Molecular Medicine 454
  • Pharmaceutical Science 568
  • Plant Science 2.6k
  • Complementary and alternative medicine 497
Replace Rani Durgavati University with:
Rani Durgavati University India
Rajiv Gandhi Technical University India
Central University of South Bihar India
Chhatrapati Shahu Ji Maharaj University India
Berhampur University India
Bundelkhand University India
Centurion University of Technology and Management India
Ravenshaw University India
Swami Ramanand Teerth Marathwada University India
Maharaja Sriram Chandra Bhanja Deo University India
Indira Gandhi National Tribal University relative to Rani Durgavati University India Rani Durgavati University's profile →
Citations per field
00.5×3.6×
Rani Durgavati University · 1×
Citations per year

Countries citing scholars working at Indira Gandhi National Tribal University

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Indira Gandhi National Tribal University. 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 papers produced at Indira Gandhi National Tribal University with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Indira Gandhi National Tribal University more than expected).

Fields of papers published by authors at Indira Gandhi National Tribal University

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Indira Gandhi National Tribal University at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Indira Gandhi National Tribal University at the time of their publication.

About Indira Gandhi National Tribal University

In recent decades, authors affiliated with Indira Gandhi National Tribal University have published 1.4k papers, which have received a total of 17.5k indexed citations . Scholars at this organization have produced 56 papers in Numerical Analysis, 49 papers in Pharmaceutical Science, 34 papers in Molecular Medicine, 14 papers in Business and International Management and 51 papers in Statistics and Probability on the topics of Nanoparticles: synthesis and applications (59 papers), Approximation Theory and Sequence Spaces (41 papers), Advanced Drug Delivery Systems (39 papers), Nanoparticle-Based Drug Delivery (39 papers), Metal-Organic Frameworks: Synthesis and Applications (38 papers), Advanced biosensing and bioanalysis techniques (37 papers), Electrochemical sensors and biosensors (36 papers) and Graphene and Nanomaterials Applications (34 papers). Their work is cited by papers focused on Biomaterials (1.4k citations), Molecular Medicine (454 citations), Pharmaceutical Science (568 citations), Plant Science (2.6k citations) and Complementary and alternative medicine (497 citations). Authors at Indira Gandhi National Tribal University collaborate with scholars in India, China and United States and have published in prestigious journals including International Journal of Biological Macromolecules, RSC Advances, New Journal of Chemistry, Polyhedron and Materials Letters. Some of Indira Gandhi National Tribal University's most productive authors include Pranveer Singh, Ravindra Pratap Singh, Kshitij RB Singh, Sabyasachi Maiti, Vishnu Narayan Mishra, Jay Singh, Tarun Kumar Thakur, Vanya Nayak, Biswajit Maji and Tanmay Kumar Ghorai.

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.

Explore institutions with similar magnitude of impact