Neeraj Sharma
- Molecular Biology top 5%
- Genetics top 2%
- Computer Vision and Pattern Recognition top 2%
- Cell Biology top 2%
- Biomedical Engineering top 5%
- Co-authors
- Lalit Mohan AggarwalSwapan K. DasBradley K. YoderNicolas F. BerbariShiru SharmaFei HuS. K. SwainUmesh Chandra Sahoo
- Topics
- Interconnection Networks and Systems (32 papers)Metal complexes synthesis and properties (26 papers)Inorganic and Organometallic Chemistry (25 papers)
- Cited by
- Cell BiologyGeneticsNeurology
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaThe Journal of Cell Biology
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Neeraj Sharma
383 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 202
- Molecular Biology 1.3k
- Genetics 850
- Computer Vision and Pattern Recognition 569
- Cell Biology 549
- Biomedical Engineering 516
Countries citing papers authored by Neeraj Sharma
This map shows the geographic impact of Neeraj Sharma'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 Neeraj Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neeraj Sharma more than expected).
Fields of papers citing papers by Neeraj Sharma
This network shows the impact of papers produced by Neeraj Sharma. 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 Neeraj Sharma. The network helps show where Neeraj Sharma may publish in the future.
Co-authorship network of co-authors of Neeraj Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Neeraj Sharma. A scholar is included among the top collaborators of Neeraj Sharma 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 Neeraj Sharma. Neeraj Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 7 | |
| 9 | 0 | |
| 10 | 11 | |
| 11 | 18 | |
| 12 | 27 | |
| 13 | 26 | |
| 14 | 1 | |
| 15 | 15 | |
| 16 | Error Grid Analysis of Reference and Predicted Blood Glucose Level Values as Obtained from the Normal and Prediabetic Human Volunteers | 3 |
| 17 | 10 | |
| 18 | 66 | |
| 19 | Secure Wireless Sensor Networks: Problems and Solutions | 27 |
| 20 | Effect of freeze-thaw cycles during storage on quality of meat and liver of buffalo | 2 |
About Neeraj Sharma
Neeraj Sharma is a scholar working on Drug Discovery, Fuel Technology and Acoustics and Ultrasonics, having authored 422 papers that have together received 5.4k indexed citations. Recurring topics across this work include Interconnection Networks and Systems (32 papers), Metal complexes synthesis and properties (26 papers) and Inorganic and Organometallic Chemistry (25 papers). The work is most often cited by research in Cell Biology (549 citations), Genetics (850 citations) and Neurology (236 citations). Neeraj Sharma has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Lalit Mohan Aggarwal, Swapan K. Das, Bradley K. Yoder, Nicolas F. Berbari, Shiru Sharma, Fei Hu, S. K. Swain, Umesh Chandra Sahoo, Ashis K. Mondal and Munendra Singh. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Cell Biology.
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.