Javadi Monisha

2.9k citations
29 papers · 2.2k indexed · 1 hit paper · h-index 21

Impact in

Papers in

Javadi Monisha

28 papers receiving 2.2k citations

Hit Papers

Curcumin, the golden nutraceutical: multitargeting for multiple chronic diseases 2016 · 795 citations
7952016202620192022250500750

Peers

Javadi Monisha
Comparison fields: 5 of 115
  • Molecular Medicine 578
  • Pharmacology 314
  • Toxicology 97
  • Biochemistry 126
  • Cancer Research 278
Replace Nand Kishor Roy with:
Nand Kishor Roy India
Choudhary Harsha India
Ganesan Padmavathi India
Sosmitha Girisa India
Kuang‐Chi Lai Taiwan
Devivasha Bordoloi India
Chao-Lin Kuo Taiwan
Wonil Koh South Korea
Dorrah Deeb United States
Bethsebie Lalduhsaki Sailo India
Javadi Monisha relative to Nand Kishor Roy India Nand Kishor Roy's profile →
Citations per field
00.5×1.5×
Nand Kishor Roy · 1×
Citations per year

Countries citing papers authored by Javadi Monisha

Since Specialization
Citations

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

Fields of papers citing papers by Javadi Monisha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Javadi Monisha, 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 Javadi Monisha Line = papers co-authored together Javadi Monisha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20218
3 20214
4 201936
5 201950
6 20194
7 201852
8 201890
9 201860
10 2018114
11 2018120
12 201710
13
Curcumin, the golden nutraceutical: multitargeting for multiple chronic diseases
Hit paper breakdown →
2016795
14 201641
15 201646
16 201655
17 201655
18 20165
19 201584
20 201595

About Javadi Monisha

Javadi Monisha is a scholar working on Molecular Medicine, Toxicology, Applied Microbiology and Biotechnology, Cancer Research and Immunology, having authored 29 papers that have together received 2.2k indexed citations. Recurring topics across this work include Curcumin's Biomedical Applications (6 papers), interferon and immune responses (4 papers), Cell death mechanisms and regulation (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Bioactive natural compounds (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Natural product bioactivities and synthesis (3 papers). The work is most often cited by research in Molecular Medicine (578 citations), Pharmacology (314 citations), Toxicology (97 citations), Biochemistry (126 citations) and Cancer Research (278 citations). Javadi Monisha has collaborated with scholars based in India, Singapore and Australia. Frequent co-authors include Ajaikumar B. Kunnumakkara, Devivasha Bordoloi, Ganesan Padmavathi, Nand Kishor Roy, Sahdeo Prasad, Bharat B. Aggarwal, Kishore Banik, Frank Arfuso, Gautam Sethi and Lu Fan. Their work appears in journals such as Current Drug Targets, Pharmacological Research, Biomolecules, Journal of Basic and Clinical Physiology and Pharmacology and Clinical & Translational Oncology.

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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