Naseem A. Gaur
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility 17
- Molecular Medicine top 5%
- Molecular Biology top 10%
- Microbial Metabolic Engineering and Bioproduction 17
- Enzyme Catalysis and Immobilization 10
- Sphingolipid Metabolism and Signaling 4
- Epidemiology top 10%
- Pneumocystis jirovecii pneumonia detection and treatment 13
- Fungal Infections and Studies 5
- Cell Biology top 10%
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- Biofuel production and bioconversion 18
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- Synthesis and Biological Evaluation 5
- Co-authors
- Rajendra PrasadKirsten C. SadlerChinweike UkomaduSonam KumariAlan G. HinnebuschMohit KumarPreeti SainiHongfang Qiu
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- IndiaUnited StatesCzechia
In The Last Decade
Naseem A. Gaur
60 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 109
- Infectious Diseases 335
- Molecular Medicine 81
- Molecular Biology 782
- Epidemiology 288
- Cell Biology 135
Countries citing papers authored by Naseem A. Gaur
This map shows the geographic impact of Naseem A. Gaur'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 Naseem A. Gaur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naseem A. Gaur more than expected).
Fields of papers citing papers by Naseem A. Gaur
This network shows the impact of papers produced by Naseem A. Gaur. 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 Naseem A. Gaur. The network helps show where Naseem A. Gaur may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Naseem A. Gaur, 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 | 2025 | 5 | |
| 3 | 2024 | 7 | |
| 4 | 2022 | 81 | |
| 5 | 2022 | 30 | |
| 6 | 2021 | 5 | |
| 7 | 2021 | 8 | |
| 8 | 2021 | 2 | |
| 9 | 2020 | 32 | |
| 10 | 2018 | 28 | |
| 11 | Metabolic and Adaptive Laboratory Evolutionary Engineering (ALE) of Saccharomyces cerevisiae for Second Generation Biofuel Production | 2016 | 1 |
| 12 | 2014 | 21 | |
| 13 | 2012 | 81 | |
| 14 | 2012 | 64 | |
| 15 | 2011 | 38 | |
| 16 | 2007 | 141 | |
| 17 | 2006 | 49 | |
| 18 | 2005 | 39 | |
| 19 | 2005 | 13 | |
| 20 | 1991 | 9 |
About Naseem A. Gaur
Naseem A. Gaur is a scholar working on Infectious Diseases, Molecular Medicine and Biotechnology, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biofuel production and bioconversion (18 papers), Antifungal resistance and susceptibility (17 papers), Microbial Metabolic Engineering and Bioproduction (17 papers), Pneumocystis jirovecii pneumonia detection and treatment (13 papers), Enzyme Catalysis and Immobilization (10 papers), Synthesis and Biological Evaluation (5 papers), Fungal Infections and Studies (5 papers) and Sphingolipid Metabolism and Signaling (4 papers). The work is most often cited by research in Infectious Diseases (335 citations), Molecular Medicine (81 citations) and Molecular Biology (782 citations). Naseem A. Gaur has collaborated with scholars based in India, United States and Czechia. Frequent co-authors include Rajendra Prasad, Kirsten C. Sadler, Chinweike Ukomadu, Sonam Kumari, Alan G. Hinnebusch, Mohit Kumar, Preeti Saini, Hongfang Qiu, Vinod Kumar and Sneha Sudha Komath. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.