Nakul Rampal
- Materials Chemistry top 10%
- Inorganic Chemistry top 2%
- Biomedical Engineering
- Organic Chemistry top 10%
- Mechanical Engineering
- Co-authors
- David Fairen‐JiménezOmar M. YaghiZhiling ZhengChristian BorgsJennifer ChayesZichao RongP. VairavelXu Chen
- Topics
- Metal-Organic Frameworks: Synthesis and Applications (17 papers)Machine Learning in Materials Science (7 papers)Covalent Organic Framework Applications (3 papers)
- Journals
- Journal of the American Chemical SocietyAdvanced MaterialsAngewandte Chemie International Edition
- Partner nations
- United StatesUnited KingdomSaudi Arabia
In The Last Decade
Nakul Rampal
28 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Materials Chemistry 614
- Inorganic Chemistry 510
- Biomedical Engineering 180
- Organic Chemistry 171
- Mechanical Engineering 120
Countries citing papers authored by Nakul Rampal
This map shows the geographic impact of Nakul Rampal'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 Nakul Rampal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nakul Rampal more than expected).
Fields of papers citing papers by Nakul Rampal
This network shows the impact of papers produced by Nakul Rampal. 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 Nakul Rampal. The network helps show where Nakul Rampal may publish in the future.
Co-authorship network of co-authors of Nakul Rampal
This figure shows the co-authorship network connecting the top 25 collaborators of Nakul Rampal. A scholar is included among the top collaborators of Nakul Rampal 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 Nakul Rampal. Nakul Rampal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Large language models for reticular chemistrybreakdown → | 40 |
| 3 | Image and data mining in reticular chemistry powered by GPT-4Vbreakdown → | 36 |
| 4 | Harvesting Water from Air with High-Capacity, Stable Furan-Based Metal–Organic Frameworksbreakdown → | 47 |
| 5 | 10 | |
| 6 | A GPT‐4 Reticular Chemist for Guiding MOF Discovery**breakdown → | 101 |
| 7 | 34 | |
| 8 | 72 | |
| 9 | Shaping the Water-Harvesting Behavior of Metal–Organic Frameworks Aided by Fine-Tuned GPT Modelsbreakdown → | 79 |
| 10 | ChatGPT Research Group for Optimizing the Crystallinity of MOFs and COFsbreakdown → | 88 |
| 11 | 4 | |
| 12 | 37 | |
| 13 | 131 | |
| 14 | 12 | |
| 15 | 31 | |
| 16 | 40 | |
| 17 | 7 | |
| 18 | 51 | |
| 19 | 17 | |
| 20 | 17 |
About Nakul Rampal
Nakul Rampal is a scholar working on Inorganic Chemistry, Structural Biology and Analytical Chemistry, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (17 papers), Machine Learning in Materials Science (7 papers) and Covalent Organic Framework Applications (3 papers). The work is most often cited by research in Inorganic Chemistry (510 citations), Materials Chemistry (614 citations) and Process Chemistry and Technology (35 citations). Nakul Rampal has collaborated with scholars based in United States, United Kingdom and Saudi Arabia. Frequent co-authors include David Fairen‐Jiménez, Omar M. Yaghi, Zhiling Zheng, Christian Borgs, Jennifer Chayes, Zichao Rong, P. Vairavel, Xu Chen, Gautham Jeppu and Ali H. Alawadhi. Their work appears in journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.
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.