Raja Mazumder
- Molecular Biology top 1%
- Ecology top 1%
- Plant Science top 2%
- Genetics top 2%
- Immunology top 10%
- Co-authors
- Sona VasudevanEugene V. KooninDarren A. NataleA. N. NIKOL'SKAYAAlexander V. SverdlovJohn D. JacksonAviva R. JacobsYuri I. Wolf
- Topics
- Genomics and Phylogenetic Studies (35 papers)RNA and protein synthesis mechanisms (17 papers)Glycosylation and Glycoproteins Research (12 papers)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Raja Mazumder
77 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Molecular Biology 5.1k
- Ecology 1.3k
- Plant Science 1.2k
- Genetics 820
- Immunology 380
Countries citing papers authored by Raja Mazumder
This map shows the geographic impact of Raja Mazumder'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 Raja Mazumder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raja Mazumder more than expected).
Fields of papers citing papers by Raja Mazumder
This network shows the impact of papers produced by Raja Mazumder. 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 Raja Mazumder. The network helps show where Raja Mazumder may publish in the future.
Co-authorship network of co-authors of Raja Mazumder
This figure shows the co-authorship network connecting the top 25 collaborators of Raja Mazumder. A scholar is included among the top collaborators of Raja Mazumder 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 Raja Mazumder. Raja Mazumder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 10 | |
| 3 | 7 | |
| 4 | 16 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 49 | |
| 9 | 21 | |
| 10 | 15 | |
| 11 | 28 | |
| 12 | 2 | |
| 13 | 16 | |
| 14 | 13 | |
| 15 | 3 | |
| 16 | A comprehensive evolutionary classification of proteins encoded in complete eukaryotic genomesbreakdown → | 794 |
| 17 | 5 | |
| 18 | 5 | |
| 19 | 57 | |
| 20 | Modelling production management systems : proceedings of the IFIP WG 5.7 Working Conference on Modelling Production Management Systems, Copenhagen, Denmark, 29-31 August, 1984 | 1 |
About Raja Mazumder
Raja Mazumder is a scholar working on Information Systems and Management, Molecular Biology and Health Informatics, having authored 82 papers that have together received 7.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (35 papers), RNA and protein synthesis mechanisms (17 papers) and Glycosylation and Glycoproteins Research (12 papers). The work is most often cited by research in Molecular Biology (5.1k citations), Ecology (1.3k citations) and Endocrinology (240 citations). Raja Mazumder has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Sona Vasudevan, Eugene V. Koonin, Darren A. Natale, A. N. NIKOL'SKAYA, Alexander V. Sverdlov, John D. Jackson, Aviva R. Jacobs, Yuri I. Wolf, Dmitri M. Krylov and Natalie D. Fedorova. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and 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.