Alluri V. Krishnaraju
- Plant Science top 10%
- Pharmacology top 5%
- Molecular Biology
- Food Science top 5%
- Pharmacology top 5%
- Co-authors
- Gottumukkala V. SubbarajuD. SundararajuVanisree MulabagalHsin‐Sheng TsayTrimurtulu GolakotiK. SenguptaS. P. RaychaudhuriSmriti K. Raychaudhuri
- Topics
- Pharmacological Effects of Medicinal Plants (6 papers)Bone Metabolism and Diseases (4 papers)Chemistry and Chemical Engineering (2 papers)
- Journals
- Antioxidants and Redox SignalingFood and Chemical ToxicologyBioorganic & Medicinal Chemistry
- Partner nations
- United StatesIndiaTaiwan
In The Last Decade
Alluri V. Krishnaraju
14 papers receiving 650 citations
Peers
Comparison fields: 5 of 90
- Plant Science 280
- Pharmacology 274
- Molecular Biology 267
- Food Science 166
- Pharmacology 123
Countries citing papers authored by Alluri V. Krishnaraju
This map shows the geographic impact of Alluri V. Krishnaraju'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 Alluri V. Krishnaraju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alluri V. Krishnaraju more than expected).
Fields of papers citing papers by Alluri V. Krishnaraju
This network shows the impact of papers produced by Alluri V. Krishnaraju. 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 Alluri V. Krishnaraju. The network helps show where Alluri V. Krishnaraju may publish in the future.
Co-authorship network of co-authors of Alluri V. Krishnaraju
This figure shows the co-authorship network connecting the top 25 collaborators of Alluri V. Krishnaraju. A scholar is included among the top collaborators of Alluri V. Krishnaraju 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 Alluri V. Krishnaraju. Alluri V. Krishnaraju is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 16 | |
| 3 | 24 | |
| 4 | 23 | |
| 5 | 68 | |
| 6 | 76 | |
| 7 | 12 | |
| 8 | Antioxidant and antimicrobial activity evaluation of polyhydroxycinnamic acid ester derivatives | 12 |
| 9 | 36 | |
| 10 | 18 | |
| 11 | 103 | |
| 12 | 51 | |
| 13 | 70 | |
| 14 | 269 |
About Alluri V. Krishnaraju
Alluri V. Krishnaraju is a scholar working on Pharmacology, Endocrine and Autonomic Systems and Environmental Chemistry, having authored 14 papers that have together received 790 indexed citations. Recurring topics across this work include Pharmacological Effects of Medicinal Plants (6 papers), Bone Metabolism and Diseases (4 papers) and Chemistry and Chemical Engineering (2 papers). The work is most often cited by research in Pharmacology (274 citations), Complementary and alternative medicine (121 citations) and Pharmacology (123 citations). Alluri V. Krishnaraju has collaborated with scholars based in United States, India and Taiwan. Frequent co-authors include Gottumukkala V. Subbaraju, D. Sundararaju, Vanisree Mulabagal, Hsin‐Sheng Tsay, Trimurtulu Golakoti, K. Sengupta, S. P. Raychaudhuri, Smriti K. Raychaudhuri, Somepalli Venkateswarlu and Vidavalur Siddaiah. Their work appears in journals such as Antioxidants and Redox Signaling, Food and Chemical Toxicology and Bioorganic & Medicinal Chemistry.
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.