Neelam Chhillar
- Physiology
- Health, Toxicology and Mutagenesis top 10%
- Plant Science
- Molecular Biology
- Nutrition and Dietetics
- Co-authors
- Kiran BalaRachna AgarwalMitra BasuMohammad MustafaChandra Bhushan TripathiDeepashree DaulatabadChander GroverBasu Dev Banerjee
- Topics
- Alzheimer's disease research and treatments (4 papers)Meta-analysis and systematic reviews (4 papers)Pharmacological Effects and Toxicity Studies (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaPediatric NeurologyHuman & Experimental Toxicology
- Partner nations
- IndiaUnited States
In The Last Decade
Neelam Chhillar
28 papers receiving 449 citations
Peers
Comparison fields: 5 of 99
- Physiology 137
- Health, Toxicology and Mutagenesis 71
- Plant Science 70
- Molecular Biology 55
- Nutrition and Dietetics 49
Countries citing papers authored by Neelam Chhillar
This map shows the geographic impact of Neelam Chhillar'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 Neelam Chhillar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neelam Chhillar more than expected).
Fields of papers citing papers by Neelam Chhillar
This network shows the impact of papers produced by Neelam Chhillar. 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 Neelam Chhillar. The network helps show where Neelam Chhillar may publish in the future.
Co-authorship network of co-authors of Neelam Chhillar
This figure shows the co-authorship network connecting the top 25 collaborators of Neelam Chhillar. A scholar is included among the top collaborators of Neelam Chhillar 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 Neelam Chhillar. Neelam Chhillar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 5 | |
| 4 | 12 | |
| 5 | 1 | |
| 6 | 28 | |
| 7 | 7 | |
| 8 | 11 | |
| 9 | 26 | |
| 10 | 23 | |
| 11 | 9 | |
| 12 | 12 | |
| 13 | 10 | |
| 14 | 23 | |
| 15 | 21 | |
| 16 | 8 | |
| 17 | 10 | |
| 18 | 3 | |
| 19 | 28 | |
| 20 | 3 |
About Neelam Chhillar
Neelam Chhillar is a scholar working on Statistics, Probability and Uncertainty, Medical Laboratory Technology and Family Practice, having authored 29 papers that have together received 470 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Meta-analysis and systematic reviews (4 papers) and Pharmacological Effects and Toxicity Studies (4 papers). The work is most often cited by research in Medical Laboratory Technology (19 citations), Family Practice (17 citations) and Statistics, Probability and Uncertainty (44 citations). Neelam Chhillar has collaborated with scholars based in India and United States. Frequent co-authors include Kiran Bala, Rachna Agarwal, Mitra Basu, Mohammad Mustafa, Chandra Bhushan Tripathi, Deepashree Daulatabad, Chander Grover, Basu Dev Banerjee, B. Banerjee and Suman Kushwaha. Their work appears in journals such as SHILAP Revista de lepidopterología, Pediatric Neurology and Human & Experimental Toxicology.
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.