Pratap Devarapalli

413 citations
12 papers · 300 · h-index 5

Impact in

  • Rheumatology top 10%
    • Osteoarthritis Treatment and Mechanisms
    • Rheumatoid Arthritis Research and Therapies
    • Inflammatory mediators and NSAID effects
    • Flavonoids in Medical Research

Papers in

Pratap Devarapalli

10 papers receiving 298 citations

Peers

Pratap Devarapalli
Comparison fields: 5 of 82
  • Rheumatology 102
  • Pharmacology 68
  • Aging 7
  • Pharmacology 21
  • Complementary and alternative medicine 19
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Citations per year

Countries citing papers authored by Pratap Devarapalli

Since Specialization
Citations

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

Fields of papers citing papers by Pratap Devarapalli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Pratap Devarapalli, 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 Pratap Devarapalli Line = papers co-authored together Pratap Devarapalli links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2017255
2 201714
3 20149
4 20167
5 20225
6
Machine Learning to Machine Owning: Redefining the Copyright Ownership from the Perspective of Australian, US, UK and EU Law
20184
7 20163
8 20181
9 20231
10 20171
11
Submission in Response to the WIPO’s ‘Draft Issues Paper on Intellectual Property Policy and Artificial Intelligence’ (Ref. No. WIPO/IP/AI/2/GE/20/1)
20200
12 20250

About Pratap Devarapalli

Pratap Devarapalli is a scholar working on Molecular Biology, Pharmacology, Management of Technology and Innovation, Artificial Intelligence and Physiology, having authored 12 papers that have together received 300 indexed citations. Recurring topics across this work include Intellectual Property and Patents (2 papers), Biomedical Ethics and Regulation (2 papers), Flavonoids in Medical Research (2 papers), Law, AI, and Intellectual Property (2 papers), Estrogen and related hormone effects (1 paper), Science, Research, and Medicine (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Rheumatology (102 citations), Pharmacology (68 citations), Aging (7 citations), Pharmacology (21 citations) and Complementary and alternative medicine (19 citations). Pratap Devarapalli has collaborated with scholars based in Australia, India and United States. Frequent co-authors include Mohammad Y. Ansari, Nazir M. Khan, Tariq M. Haqqi, Abdul Haseeb, Ranjith Kumavath, Debmalya Barh, Vasco Azevedo, Abdul Haseeb, Sandeep Tiwari and Rajkumar Hirwani. Their work appears in journals such as Biofuels Bioproducts and Biorefining, Free Radical Biology and Medicine, Global Environmental Politics, Data in Brief and International Journal of Biological Macromolecules.

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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