Sanjay Jain
- Molecular Biology
- Nuclear and High Energy Physics top 5%
- Astronomy and Astrophysics top 5%
- Statistical and Nonlinear Physics top 2%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Sandeep KrishnaNeelesh MalviyaSapna MalviyaNivedita DeoChung-I TanSpenta R. WadiaAreejit SamalVikas Nanda
- Topics
- Semiconductor materials and devices (12 papers)Black Holes and Theoretical Physics (10 papers)Advancements in Semiconductor Devices and Circuit Design (9 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersThe Journal of Chemical Physics
- Partner nations
- IndiaUnited StatesAlgeria
In The Last Decade
Sanjay Jain
64 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 136
- Molecular Biology 401
- Nuclear and High Energy Physics 362
- Astronomy and Astrophysics 355
- Statistical and Nonlinear Physics 332
- Endocrinology, Diabetes and Metabolism 184
Countries citing papers authored by Sanjay Jain
This map shows the geographic impact of Sanjay Jain'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 Sanjay Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjay Jain more than expected).
Fields of papers citing papers by Sanjay Jain
This network shows the impact of papers produced by Sanjay Jain. 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 Sanjay Jain. The network helps show where Sanjay Jain may publish in the future.
Co-authorship network of co-authors of Sanjay Jain
This figure shows the co-authorship network connecting the top 25 collaborators of Sanjay Jain. A scholar is included among the top collaborators of Sanjay Jain 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 Sanjay Jain. Sanjay Jain 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 | 19 | |
| 3 | 7 | |
| 4 | 21 | |
| 5 | 12 | |
| 6 | 5 | |
| 7 | 11 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 11 | |
| 11 | 28 | |
| 12 | 75 | |
| 13 | 51 | |
| 14 | Low degree metabolites enhance modularity in biological networks and explain essential metabolic reactions | 1 |
| 15 | 18 | |
| 16 | 18 | |
| 17 | 1 | |
| 18 | 5 | |
| 19 | 55 | |
| 20 | 40 |
About Sanjay Jain
Sanjay Jain is a scholar working on Statistical and Nonlinear Physics, Nuclear and High Energy Physics and Astronomy and Astrophysics, having authored 65 papers that have together received 1.6k indexed citations. Recurring topics across this work include Semiconductor materials and devices (12 papers), Black Holes and Theoretical Physics (10 papers) and Advancements in Semiconductor Devices and Circuit Design (9 papers). The work is most often cited by research in Nuclear and High Energy Physics (362 citations), Statistical and Nonlinear Physics (332 citations) and Astronomy and Astrophysics (355 citations). Sanjay Jain has collaborated with scholars based in India, United States and Algeria. Frequent co-authors include Sandeep Krishna, Neelesh Malviya, Sapna Malviya, Nivedita Deo, Chung-I Tan, Spenta R. Wadia, Areejit Samal, Vikas Nanda, Samir D. Mathur and R. Shankar. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.
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.