Amitabh Sharma
- Molecular Biology top 5%
- Computational Theory and Mathematics top 1%
- Genetics top 10%
- Pulmonary and Respiratory Medicine top 10%
- Immunology top 10%
- Co-authors
- Albert-Ĺaszló BarabásiJörg MencheJoseph LoscalzoSusan Dina GhiassianMaksim KitsakMarc VidalXuezhong ZhouArda Halu
- Topics
- Bioinformatics and Genomic Networks (16 papers)Biomedical Text Mining and Ontologies (5 papers)Gene Regulatory Network Analysis (5 papers)
- Partner nations
- United StatesIndiaSweden
In The Last Decade
Amitabh Sharma
37 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Molecular Biology 1.9k
- Computational Theory and Mathematics 546
- Genetics 300
- Pulmonary and Respiratory Medicine 232
- Immunology 218
Countries citing papers authored by Amitabh Sharma
This map shows the geographic impact of Amitabh 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 Amitabh Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amitabh Sharma more than expected).
Fields of papers citing papers by Amitabh Sharma
This network shows the impact of papers produced by Amitabh 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 Amitabh Sharma. The network helps show where Amitabh Sharma may publish in the future.
Co-authorship network of co-authors of Amitabh Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Amitabh Sharma. A scholar is included among the top collaborators of Amitabh 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 Amitabh Sharma. Amitabh 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 | 15 | |
| 2 | 5 | |
| 3 | 21 | |
| 4 | 79 | |
| 5 | 3 | |
| 6 | 85 | |
| 7 | 135 | |
| 8 | 12 | |
| 9 | 10 | |
| 10 | 23 | |
| 11 | 31 | |
| 12 | 49 | |
| 13 | 70 | |
| 14 | 70 | |
| 15 | Network Approach to Disease Diagnosis | 1 |
| 16 | 22 | |
| 17 | 20 | |
| 18 | 11 | |
| 19 | 142 | |
| 20 | Degradation assessment of low density polythene (LDP) and polythene (PP) by an indigenous isolate of Pseudomonas stutzeri | 21 |
About Amitabh Sharma
Amitabh Sharma is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Otorhinolaryngology, having authored 38 papers that have together received 3.0k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (16 papers), Biomedical Text Mining and Ontologies (5 papers) and Gene Regulatory Network Analysis (5 papers). The work is most often cited by research in Computational Theory and Mathematics (546 citations), Molecular Biology (1.9k citations) and Biological Psychiatry (48 citations). Amitabh Sharma has collaborated with scholars based in United States, India and Sweden. Frequent co-authors include Albert-Ĺaszló Barabási, Jörg Menche, Joseph Loscalzo, Susan Dina Ghiassian, Maksim Kitsak, Marc Vidal, Xuezhong Zhou, Arda Halu, Scott T. Weiss and Kimberly Glass. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Circulation.
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.