Nazia Parveen
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology 3
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- Advanced Topics in Algebra 7
- Rings, Modules, and Algebras 4
- Geometry and Topology top 10%
- Algebraic structures and combinatorial models 6
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- DNA and Nucleic Acid Chemistry 4
- Genomics and Chromatin Dynamics 4
- RNA and protein synthesis mechanisms 3
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- Pancreatic function and diabetes 4
- Co-authors
- Sangita MukhopadhyaySudip GhoshGopalkrishna SreejitVijaya Lakshmi ValluriAsma AhmedMohammad AshrafSangeeta DhawanKyeong Kyu Kim
- Journals
- Nucleic Acids Research (2 papers)Diabetes (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- IndiaPakistanSouth Korea
In The Last Decade
Nazia Parveen
29 papers receiving 408 citations
Peers
Comparison fields: 5 of 97
- Infectious Diseases 129
- Algebra and Number Theory 31
- Immunology 85
- Geometry and Topology 26
- Epidemiology 103
Countries citing papers authored by Nazia Parveen
This map shows the geographic impact of Nazia Parveen'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 Nazia Parveen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nazia Parveen more than expected).
Fields of papers citing papers by Nazia Parveen
This network shows the impact of papers produced by Nazia Parveen. 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 Nazia Parveen. The network helps show where Nazia Parveen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nazia Parveen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 11 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 26 | |
| 9 | 2020 | 4 | |
| 10 | 2016 | 7 | |
| 11 | 2015 | 6 | |
| 12 | 2015 | 9 | |
| 13 | 2015 | 3 | |
| 14 | 2014 | 123 | |
| 15 | 2014 | 4 | |
| 16 | 2014 | 5 | |
| 17 | 2013 | 19 | |
| 18 | 2013 | 44 | |
| 19 | 2012 | 37 | |
| 20 | Growth responses of NaCl stressed rice (Oryza sativa L.) plants germinated from seed in aseptic nutrient cultures supplemented with proline | 2010 | 4 |
About Nazia Parveen
Nazia Parveen is a scholar working on Algebra and Number Theory, Geometry and Topology and Discrete Mathematics and Combinatorics, having authored 33 papers that have together received 411 indexed citations. Recurring topics across this work include Advanced Topics in Algebra (7 papers), Algebraic structures and combinatorial models (6 papers), DNA and Nucleic Acid Chemistry (4 papers), Rings, Modules, and Algebras (4 papers), Genomics and Chromatin Dynamics (4 papers), Pancreatic function and diabetes (4 papers), RNA and protein synthesis mechanisms (3 papers) and Tuberculosis Research and Epidemiology (3 papers). The work is most often cited by research in Infectious Diseases (129 citations), Algebra and Number Theory (31 citations) and Immunology (85 citations). Nazia Parveen has collaborated with scholars based in India, Pakistan and South Korea. Frequent co-authors include Sangita Mukhopadhyay, Sudip Ghosh, Gopalkrishna Sreejit, Vijaya Lakshmi Valluri, Asma Ahmed, Mohammad Ashraf, Sangeeta Dhawan, Kyeong Kyu Kim, Shiny Nair and Gobardhan Das. Their work appears in journals such as Nucleic Acids Research, Diabetes, Journal of Biological Chemistry, Polymer Composites and FEBS Letters.
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.