Sumit Sharma

1.7k total citations
43 papers, 1.2k citations indexed

About

Sumit Sharma is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Sumit Sharma has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Health, Toxicology and Mutagenesis, 18 papers in Atmospheric Science and 14 papers in Global and Planetary Change. Recurrent topics in Sumit Sharma's work include Air Quality and Health Impacts (25 papers), Atmospheric chemistry and aerosols (18 papers) and Air Quality Monitoring and Forecasting (6 papers). Sumit Sharma is often cited by papers focused on Air Quality and Health Impacts (25 papers), Atmospheric chemistry and aerosols (18 papers) and Air Quality Monitoring and Forecasting (6 papers). Sumit Sharma collaborates with scholars based in India, United States and Japan. Sumit Sharma's co-authors include Mukesh Khare, Prateek Sharma, Satoru Chatani, Shuxiao Wang, Jiming Hao, Oscar A. Fajardo, Naiqiang Yan, Yungang Wang, Atul Kumar and Lina Luo and has published in prestigious journals such as Nature Communications, Atmospheric Environment and Environment International.

In The Last Decade

Sumit Sharma

40 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sumit Sharma India	19	694	479	376	307	122	43	1.2k
Miaomiao Cheng China	22	815 1.2×	818 1.7×	398 1.1×	346 1.1×	190 1.6×	59	1.6k
Tao Huang China	21	755 1.1×	441 0.9×	265 0.7×	291 0.9×	71 0.6×	89	1.3k
Eri Saikawa United States	24	1.0k 1.5×	956 2.0×	367 1.0×	675 2.2×	224 1.8×	62	2.0k
M. M. Fry United States	11	489 0.7×	308 0.6×	172 0.5×	240 0.8×	104 0.9×	20	1.0k
Myriam Lopes Portugal	24	733 1.1×	370 0.8×	676 1.8×	423 1.4×	246 2.0×	101	1.7k
Stephanie Waldhoff United States	20	644 0.9×	878 1.8×	412 1.1×	800 2.6×	246 2.0×	56	2.3k
Wen Wu China	17	423 0.6×	169 0.4×	376 1.0×	360 1.2×	60 0.5×	42	1.0k
Grzegorz Majewski Poland	19	671 1.0×	290 0.6×	319 0.8×	112 0.4×	183 1.5×	110	1.1k
Yvonne Andersson‐Sköld Sweden	14	278 0.4×	231 0.5×	188 0.5×	270 0.9×	42 0.3×	29	753
Rabia Shabbir Pakistan	10	201 0.3×	144 0.3×	335 0.9×	623 2.0×	54 0.4×	22	1.3k

Countries citing papers authored by Sumit Sharma

Since Specialization

Citations

This map shows the geographic impact of Sumit 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 Sumit Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit Sharma more than expected).

Fields of papers citing papers by Sumit Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sumit 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 Sumit Sharma. The network helps show where Sumit Sharma may publish in the future.

Co-authorship network of co-authors of Sumit Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Sumit Sharma. A scholar is included among the top collaborators of Sumit 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 Sumit Sharma. Sumit Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Dixit, Kuldeep, et al.. (2025). Sectoral Contributions to Primary and Secondary PM_2.5 in Regional Airsheds of India. ACS Earth and Space Chemistry. 9(4). 806–816. 3 indexed citations

Agarwal, Shivang, et al.. (2024). Integrating climate, air, and health goals: the impact of efficient cooling policies in India. Journal of Environmental Studies and Sciences. 15(2). 388–401. 1 indexed citations

Sharma, Sumit, et al.. (2024). Inverse modelling approach to assess air pollutant emission trends, and source contributions in highly polluted cities. 2(1).

Dey, Sagnik, Santu Ghosh, Tinku Thomas, et al.. (2023). Cumulative effect of PM2.5 components is larger than the effect of PM2.5 mass on child health in India. Nature Communications. 14(1). 6955–6955. 39 indexed citations

Palmer, Paul I., et al.. (2022). Road transport impact on PM2.5 pollution over Delhi during the post-monsoon season. Atmospheric Environment X. 17. 100200–100200. 10 indexed citations

Dey, Sagnik, Santu Ghosh, Sumit Sharma, et al.. (2022). Reducing the burden of anaemia in Indian women of reproductive age with clean-air targets. Nature Sustainability. 5(11). 939–946. 26 indexed citations

Rahman, Md. Hafizur, Shivang Agarwal, Sumit Sharma, et al.. (2022). High-Resolution Mapping of Air Pollution in Delhi Using Detrended Kriging Model. Environmental Modeling & Assessment. 28(1). 39–54. 9 indexed citations

Agarwal, Shivang, et al.. (2021). Air Pollution Over India: Causal Factors for the High Pollution with Implications for Mitigation. ACS Earth and Space Chemistry. 5(12). 3297–3312. 23 indexed citations

Sharma, Sumit, Nithya Rajan, Song Cui, et al.. (2019). Carbon and evapotranspiration dynamics of a non-native perennial grass with biofuel potential in the southern U.S. Great Plains. Agricultural and Forest Meteorology. 269-270. 285–293. 15 indexed citations

10.

Chatani, Satoru & Sumit Sharma. (2018). Uncertainties Caused by Major Meteorological Analysis Data Sets in Simulating Air Quality Over India. Journal of Geophysical Research Atmospheres. 123(11). 6230–6247. 6 indexed citations

11.

Pommier, Matthieu, Hilde Fagerli, Michael Gauss, et al.. (2018). Impact of regional climate change and future emission scenarios on surface O ₃ and PM _2.5 over India. Atmospheric chemistry and physics. 18(1). 103–127. 39 indexed citations

12.

Sharma, Sumit, et al.. (2018). Yield response of corn and grain sorghum to row offsets on subsurface drip laterals. Agricultural Water Management. 208. 357–362. 17 indexed citations

13.

Sharma, Sumit, Prateek Sharma, & Mukesh Khare. (2017). Photo-chemical transport modelling of tropospheric ozone: A review. Atmospheric Environment. 159. 34–54. 76 indexed citations

14.

Sharma, Sumit, et al.. (2016). Sensitivity analysis of ground level ozone in India using WRF-CMAQ models. Atmospheric Environment. 131. 29–40. 77 indexed citations

15.

Cheng, Zhen, Lina Luo, Shuxiao Wang, et al.. (2016). Status and characteristics of ambient PM2.5 pollution in global megacities. Environment International. 89-90. 212–221. 319 indexed citations

16.

Sharma, Prateek, et al.. (2015). Benchmarking sustainability using indicators: An Indian case study. Ecological Indicators. 61. 928–940. 31 indexed citations

17.

Sharma, Sumit, et al.. (2014). Advancement of Fuel Quality and Vehicle Emissions Norms to Improve Urban Air Quality in India. Utrecht University Repository (Utrecht University). 1 indexed citations

18.

Sharma, Sumit, Anju Goel, Divya Gupta, et al.. (2014). Emission inventory of non-methane volatile organic compounds from anthropogenic sources in India. Atmospheric Environment. 102. 209–219. 39 indexed citations

19.

Chatani, Satoru, Markus Amann, Anuj Kumar Goel, et al.. (2014). Photochemical roles of rapid economic growth and potential abatement strategies on tropospheric ozone over South and East Asia in 2030. Atmospheric chemistry and physics. 14(17). 9259–9277. 25 indexed citations

20.

Sharma, Sumit & Avinash Chandra. (2008). Simulation of Air Quality using an ISCST3 Dispersion Model. CLEAN - Soil Air Water. 36(1). 118–124. 8 indexed citations

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.

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