Madhab C. Das
- Inorganic Chemistry top 0.1%
- Materials Chemistry top 1%
- Electrical and Electronic Engineering top 5%
- Electronic, Optical and Magnetic Materials top 2%
- Mechanical Engineering top 2%
- Co-authors
- Shyam Chand PalRupam SahooArun PalBanglin ChenSantanu ChandShengchang XiangZhangjing ZhangDebolina Mukherjee
- Topics
- Metal-Organic Frameworks: Synthesis and Applications (79 papers)Covalent Organic Framework Applications (43 papers)Molecular Sensors and Ion Detection (10 papers)
- Journals
- Journal of the American Chemical SocietyAngewandte Chemie International EditionNature Communications
- Partner nations
- IndiaChinaUnited States
In The Last Decade
Madhab C. Das
87 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Inorganic Chemistry 4.7k
- Materials Chemistry 3.5k
- Electrical and Electronic Engineering 1.2k
- Electronic, Optical and Magnetic Materials 1.2k
- Mechanical Engineering 773
Countries citing papers authored by Madhab C. Das
This map shows the geographic impact of Madhab C. Das'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 Madhab C. Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madhab C. Das more than expected).
Fields of papers citing papers by Madhab C. Das
This network shows the impact of papers produced by Madhab C. Das. 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 Madhab C. Das. The network helps show where Madhab C. Das may publish in the future.
Co-authorship network of co-authors of Madhab C. Das
This figure shows the co-authorship network connecting the top 25 collaborators of Madhab C. Das. A scholar is included among the top collaborators of Madhab C. Das 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 Madhab C. Das. Madhab C. Das 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 | 3 | |
| 3 | 19 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 12 | |
| 7 | 14 | |
| 8 | 11 | |
| 9 | 33 | |
| 10 | 9 | |
| 11 | 11 | |
| 12 | 53 | |
| 13 | 33 | |
| 14 | 12 | |
| 15 | 17 | |
| 16 | 78 | |
| 17 | Rationally tuned micropores within enantiopure metal-organic frameworks for highly selective separation of acetylene and ethylenebreakdown → | 520 |
| 18 | 31 | |
| 19 | 80 | |
| 20 | 15 |
About Madhab C. Das
Madhab C. Das is a scholar working on Inorganic Chemistry, Materials Chemistry and Process Chemistry and Technology, having authored 89 papers that have together received 5.6k indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (79 papers), Covalent Organic Framework Applications (43 papers) and Molecular Sensors and Ion Detection (10 papers). The work is most often cited by research in Inorganic Chemistry (4.7k citations), Process Chemistry and Technology (262 citations) and Materials Chemistry (3.5k citations). Madhab C. Das has collaborated with scholars based in India, China and United States. Frequent co-authors include Shyam Chand Pal, Rupam Sahoo, Arun Pal, Banglin Chen, Santanu Chand, Shengchang Xiang, Zhangjing Zhang, Debolina Mukherjee, Supriya Mondal and Parimal K. Bharadwaj. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition 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.