Ananda Mohan Mondal
- Molecular Biology
- Computational Theory and Mathematics top 10%
- Pulmonary and Respiratory Medicine
- Infectious Diseases
- Plant Science
- Co-authors
- Jianjun HuAbdullah Al MamunRong LiuGiri NarasimhanKalai MatheeTrevor CickovskiPrabin BaralVitalii Stebliankin
- Topics
- Bioinformatics and Genomic Networks (17 papers)Gene expression and cancer classification (9 papers)Machine Learning in Bioinformatics (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesBMC Bioinformatics
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Ananda Mohan Mondal
31 papers receiving 270 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 166
- Computational Theory and Mathematics 41
- Pulmonary and Respiratory Medicine 29
- Infectious Diseases 28
- Plant Science 28
Countries citing papers authored by Ananda Mohan Mondal
This map shows the geographic impact of Ananda Mohan Mondal'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 Ananda Mohan Mondal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ananda Mohan Mondal more than expected).
Fields of papers citing papers by Ananda Mohan Mondal
This network shows the impact of papers produced by Ananda Mohan Mondal. 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 Ananda Mohan Mondal. The network helps show where Ananda Mohan Mondal may publish in the future.
Co-authorship network of co-authors of Ananda Mohan Mondal
This figure shows the co-authorship network connecting the top 25 collaborators of Ananda Mohan Mondal. A scholar is included among the top collaborators of Ananda Mohan Mondal 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 Ananda Mohan Mondal. Ananda Mohan Mondal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 17 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 54 | |
| 8 | 10 | |
| 9 | 2 | |
| 10 | Determination of Biomarkers for Diagnosis of Lung Cancer Using Cytoscape-based GO and Pathway Analysis | 3 |
| 11 | 6 | |
| 12 | 4 | |
| 13 | 7 | |
| 14 | 3 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 4 | |
| 18 | 16 | |
| 19 | 30 | |
| 20 | 8 |
About Ananda Mohan Mondal
Ananda Mohan Mondal is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics, having authored 32 papers that have together received 273 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (17 papers), Gene expression and cancer classification (9 papers) and Machine Learning in Bioinformatics (6 papers). The work is most often cited by research in Computational Theory and Mathematics (41 citations), Molecular Biology (166 citations) and Infectious Diseases (28 citations). Ananda Mohan Mondal has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Jianjun Hu, Abdullah Al Mamun, Rong Liu, Giri Narasimhan, Kalai Mathee, Trevor Cickovski, Prabin Baral, Vitalii Stebliankin, Jessica Siltberg-Liberles and Prem P. Chapagain. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and BMC Bioinformatics.
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.