Mrityunjoy Kar
- Molecular Biology top 10%
- Biomaterials top 5%
- Biomedical Engineering top 10%
- Materials Chemistry
- Molecular Medicine top 5%
- Co-authors
- Shyni VargheseRohit V. PappuMoritz KreysingSayam Sen GuptaHan Liang LimYongsung HwangFurqan DarJuan M. Iglesias‐Artola
- Topics
- RNA Research and Splicing (8 papers)RNA modifications and cancer (5 papers)RNA Interference and Gene Delivery (4 papers)
- Partner nations
- GermanyUnited StatesIndia
In The Last Decade
Mrityunjoy Kar
30 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Molecular Biology 860
- Biomaterials 354
- Biomedical Engineering 335
- Materials Chemistry 182
- Molecular Medicine 160
Countries citing papers authored by Mrityunjoy Kar
This map shows the geographic impact of Mrityunjoy Kar'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 Mrityunjoy Kar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mrityunjoy Kar more than expected).
Fields of papers citing papers by Mrityunjoy Kar
This network shows the impact of papers produced by Mrityunjoy Kar. 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 Mrityunjoy Kar. The network helps show where Mrityunjoy Kar may publish in the future.
Co-authorship network of co-authors of Mrityunjoy Kar
This figure shows the co-authorship network connecting the top 25 collaborators of Mrityunjoy Kar. A scholar is included among the top collaborators of Mrityunjoy Kar 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 Mrityunjoy Kar. Mrityunjoy Kar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 13 | |
| 4 | Phase Transitions of Associative Biomacromoleculesbreakdown → | 201 |
| 5 | 81 | |
| 6 | Phase-separating RNA-binding proteins form heterogeneous distributions of clusters in subsaturated solutionsbreakdown → | 170 |
| 7 | 27 | |
| 8 | 18 | |
| 9 | 31 | |
| 10 | 268 | |
| 11 | 106 | |
| 12 | 12 | |
| 13 | 22 | |
| 14 | 57 | |
| 15 | 179 | |
| 16 | 50 | |
| 17 | 16 | |
| 18 | 27 | |
| 19 | 21 | |
| 20 | Implication of Bioelectronic Principle in Cancer Therapy : Treatment of Cancer Patients by Methylglyoxal—Based Formulation | 4 |
About Mrityunjoy Kar
Mrityunjoy Kar is a scholar working on Molecular Medicine, Pharmaceutical Science and Biomaterials, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), RNA modifications and cancer (5 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Molecular Medicine (160 citations), Biomaterials (354 citations) and Surfaces, Coatings and Films (98 citations). Mrityunjoy Kar has collaborated with scholars based in Germany, United States and India. Frequent co-authors include Shyni Varghese, Rohit V. Pappu, Moritz Kreysing, Sayam Sen Gupta, Han Liang Lim, Yongsung Hwang, Furqan Dar, Juan M. Iglesias‐Artola, Björn Drobot and Hannes Mutschler. Their work appears in journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Nature Communications.
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.