Nitin Bhardwaj
- Molecular Biology top 5%
- Genetics top 10%
- Cancer Research top 10%
- Cell Biology top 10%
- Plant Science top 10%
- Co-authors
- Mark GersteinHui LüM SnyderJoel RozowskyKoon‐Kiu YanChao ChengGang FangRobert V. Stahelin
- Topics
- Bioinformatics and Genomic Networks (10 papers)Erythrocyte Function and Pathophysiology (9 papers)Machine Learning in Bioinformatics (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Nitin Bhardwaj
93 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 147
- Molecular Biology 1.5k
- Genetics 263
- Cancer Research 205
- Cell Biology 175
- Plant Science 172
Countries citing papers authored by Nitin Bhardwaj
This map shows the geographic impact of Nitin Bhardwaj'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 Nitin Bhardwaj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nitin Bhardwaj more than expected).
Fields of papers citing papers by Nitin Bhardwaj
This network shows the impact of papers produced by Nitin Bhardwaj. 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 Nitin Bhardwaj. The network helps show where Nitin Bhardwaj may publish in the future.
Co-authorship network of co-authors of Nitin Bhardwaj
This figure shows the co-authorship network connecting the top 25 collaborators of Nitin Bhardwaj. A scholar is included among the top collaborators of Nitin Bhardwaj 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 Nitin Bhardwaj. Nitin Bhardwaj 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 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 15 | |
| 12 | 13 | |
| 13 | 0 | |
| 14 | 40 | |
| 15 | 72 | |
| 16 | A Metric for The Activeness of an Object Oriented Component Library. | 1 |
| 17 | 15 | |
| 18 | Development and Evaluation of a single vial cold kit for infection imaging: Tc-99m Ciprofloxacin | 10 |
| 19 | Purification of infectious bronchitis virus propagated in embryonated chicken eggs and its confirmation by RT-PCR | 3 |
| 20 | Detection of chicken anaemia virus and avian reovirus by polymerase chain reaction and fluorescent antibody test in various tissues from experimentally co-infected chicks | 2 |
About Nitin Bhardwaj
Nitin Bhardwaj is a scholar working on Aging, Molecular Biology and Bioengineering, having authored 103 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (10 papers), Erythrocyte Function and Pathophysiology (9 papers) and Machine Learning in Bioinformatics (6 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Cancer Research (205 citations) and Aging (23 citations). Nitin Bhardwaj has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Mark Gerstein, Hui Lü, M Snyder, Joel Rozowsky, Koon‐Kiu Yan, Chao Cheng, Gang Fang, Robert V. Stahelin, Jing Leng and Rajiv K. Saxena. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.