Shubham Sharma
- Global and Planetary Change top 2%
- Health, Toxicology and Mutagenesis top 1%
- Environmental Engineering top 2%
- Economics and Econometrics top 5%
- Atmospheric Science top 10%
- Co-authors
- Sri Harsha KotaHongliang ZhangMengyuan ZhangAnshika AnshikaJingsi GaoMina ChandraManisha GuptaSachin Kumar
- Topics
- Air Quality and Health Impacts (8 papers)Air Quality Monitoring and Forecasting (6 papers)COVID-19 impact on air quality (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentChemosphere
- Partner nations
- IndiaChinaUnited States
In The Last Decade
Shubham Sharma
17 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Global and Planetary Change 821
- Health, Toxicology and Mutagenesis 784
- Environmental Engineering 379
- Economics and Econometrics 204
- Atmospheric Science 118
Countries citing papers authored by Shubham Sharma
This map shows the geographic impact of Shubham Sharma'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 Shubham Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shubham Sharma more than expected).
Fields of papers citing papers by Shubham Sharma
This network shows the impact of papers produced by Shubham Sharma. 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 Shubham Sharma. The network helps show where Shubham Sharma may publish in the future.
Co-authorship network of co-authors of Shubham Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Shubham Sharma. A scholar is included among the top collaborators of Shubham Sharma 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 Shubham Sharma. Shubham Sharma 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 37 | |
| 7 | 15 | |
| 8 | 9 | |
| 9 | 6 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 94 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 0 | |
| 16 | 45 | |
| 17 | Effect of restricted emissions during COVID-19 on air quality in Indiabreakdown → | 872 |
| 18 | 73 | |
| 19 | Climate Change & Technology Transfer – Barriers, Technologies and Mechanisms | 0 |
| 20 | Qualitative Gap Analysis of Telecommunication Industry’s Corporate Social Responsibility Over Ecological Dimension | 1 |
About Shubham Sharma
Shubham Sharma is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering and Automotive Engineering, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (8 papers), Air Quality Monitoring and Forecasting (6 papers) and COVID-19 impact on air quality (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (784 citations), Global and Planetary Change (821 citations) and Environmental Engineering (379 citations). Shubham Sharma has collaborated with scholars based in India, China and United States. Frequent co-authors include Sri Harsha Kota, Hongliang Zhang, Mengyuan Zhang, Anshika Anshika, Jingsi Gao, Mina Chandra, Manisha Gupta, Sachin Kumar, Onkar Bedi and Puneet Kumar. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Chemosphere.
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.