Muhammad Numan Khan

1.4k total citations
47 papers, 943 citations indexed

About

Muhammad Numan Khan is a scholar working on Soil Science, Environmental Chemistry and Plant Science. According to data from OpenAlex, Muhammad Numan Khan has authored 47 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Soil Science, 13 papers in Environmental Chemistry and 11 papers in Plant Science. Recurrent topics in Muhammad Numan Khan's work include Soil Carbon and Nitrogen Dynamics (26 papers), Soil and Water Nutrient Dynamics (12 papers) and Big Data and Business Intelligence (7 papers). Muhammad Numan Khan is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (26 papers), Soil and Water Nutrient Dynamics (12 papers) and Big Data and Business Intelligence (7 papers). Muhammad Numan Khan collaborates with scholars based in China, Pakistan and Nigeria. Muhammad Numan Khan's co-authors include Tanveer Ali Sial, Zhilong Lan, Ying Zhao, Jianguo Zhang, Huimin Zhang, Jing Huang, Farhana Kumbhar, Tianfu Han, Muhammad Qaswar and Dongchu Li and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Muhammad Numan Khan

43 papers receiving 917 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Numan Khan China 18 500 288 135 125 117 47 943
Qinhua Shen New Zealand 8 478 1.0× 191 0.7× 120 0.9× 86 0.7× 108 0.9× 11 713
Kwame Agyei Frimpong Ghana 17 613 1.2× 313 1.1× 109 0.8× 88 0.7× 135 1.2× 51 992
Zhaoqiang Han China 17 612 1.2× 258 0.9× 196 1.5× 105 0.8× 125 1.1× 34 1.0k
Thi Thu Nhan Nguyen Australia 10 569 1.1× 239 0.8× 100 0.7× 137 1.1× 87 0.7× 11 869
Madhumonti Saha India 12 657 1.3× 447 1.6× 112 0.8× 95 0.8× 195 1.7× 29 1.1k
Pravash Chandra Moharana India 16 504 1.0× 310 1.1× 71 0.5× 188 1.5× 94 0.8× 46 971
Kashif Ali Kubar China 15 400 0.8× 245 0.9× 91 0.7× 78 0.6× 86 0.7× 35 827
Gurmeet Singh Dheri India 15 572 1.1× 376 1.3× 141 1.0× 60 0.5× 186 1.6× 47 970
Natalia Rogovska United States 11 526 1.1× 229 0.8× 80 0.6× 86 0.7× 110 0.9× 24 869

Countries citing papers authored by Muhammad Numan Khan

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Numan Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Numan Khan. 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 Muhammad Numan Khan. The network helps show where Muhammad Numan Khan may publish in the future.

Co-authorship network of co-authors of Muhammad Numan Khan

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

All Works

20 of 20 papers shown
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Mamun, Abdullah Al, et al.. (2025). AI-Powered Predictive Analytics in Healthcare Business: Enhancing Operational Efficiency and Patient Outcomes. 7(3). 93–114. 1 indexed citations
4.
Mamun, Abdullah Al, et al.. (2025). Optimizing Revenue Cycle Management in Healthcare: AI and IT Solutions for Business Process Automation. 7(3). 141–162. 3 indexed citations
6.
Singh, Ashutosh Kumar, Wenjie Liu, Xiai Zhu, et al.. (2024). The detrimental effect of rainforest conversion to rubber plantations on soil dissolved organic carbon and C: N stoichiometry, mediated by altered soil biogeochemistry. Journal of Environmental Management. 370. 122965–122965.
7.
Shah, Asad, Jing Huang, Tianfu Han, et al.. (2024). Impact of soil moisture regimes on greenhouse gas emissions, soil microbial biomass, and enzymatic activity in long-term fertilized paddy soil. Environmental Sciences Europe. 36(1). 19 indexed citations
8.
Singh, Ashutosh Kumar, Chunfeng Chen, Xiai Zhu, et al.. (2024). Unraveling the impact of global change on glomalin and implications for soil carbon storage in terrestrial ecosystems. Resources Environment and Sustainability. 18. 100174–100174. 14 indexed citations
9.
Shah, Asad, Jing Huang, Tianfu Han, et al.. (2024). Correction: Impact of soil moisture regimes on greenhouse gas emissions, soil microbial biomass, and enzymatic activity in long-term fertilized paddy soil. Environmental Sciences Europe. 36(1). 2 indexed citations
10.
Han, Tianfu, Kailou Liu, Jing Huang, et al.. (2023). Temporal and spatial characteristics of paddy soil potassium in China and its response to organic amendments: A systematic analysis. Soil and Tillage Research. 235. 105894–105894. 5 indexed citations
11.
Alam, Md. Ashraful, Jing Huang, Muhammad Numan Khan, et al.. (2023). Effects of long-term organic and inorganic fertilization on greenhouse gas emissions and soil nutrient stoichiometry in a rice–rice–fallow cropping system. Agriculture Ecosystems & Environment. 357. 108695–108695. 17 indexed citations
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Shah, Asad, Jing Huang, Muhammad Numan Khan, et al.. (2022). Sole and Combined Application of Phosphorus and Glucose and Its Influence on Greenhouse Gas Emissions and Microbial Biomass in Paddy Soils. Agronomy. 12(10). 2368–2368. 2 indexed citations
14.
Khan, Muhammad Numan, Dongchu Li, Asad Shah, et al.. (2022). The impact of pristine and modified rice straw biochar on the emission of greenhouse gases from a red acidic soil. Environmental Research. 208. 112676–112676. 36 indexed citations
15.
Daba, Nano Alemu, Dongchu Li, Jing Huang, et al.. (2021). Long-Term Fertilization and Lime-Induced Soil pH Changes Affect Nitrogen Use Efficiency and Grain Yields in Acidic Soil under Wheat-Maize Rotation. Agronomy. 11(10). 2069–2069. 36 indexed citations
16.
Khan, Muhammad Numan, Jing Huang, Asad Shah, et al.. (2021). Mitigation of greenhouse gas emissions from a red acidic soil by using magnesium-modified wheat straw biochar. Environmental Research. 203. 111879–111879. 32 indexed citations
17.
Lan, Zhilong, Ying Zhao, Jianguo Zhang, et al.. (2020). Effects of the long‐term fertilization on pore and physicochemical characteristics of loess soil in Northwest China. Agronomy Journal. 112(6). 4741–4751. 9 indexed citations
18.
Ahmed, Waqas, Muhammad Qaswar, Jing Huang, et al.. (2019). Tillage practices improve rice yield and soil phosphorus fractions in two typical paddy soils. Journal of Soils and Sediments. 20(2). 850–861. 46 indexed citations
19.
Ahmed, Waqas, Jing Huang, Muhammad Qaswar, et al.. (2019). Changes in phosphorus fractions associated with soil chemical properties under long-term organic and inorganic fertilization in paddy soils of southern China. PLoS ONE. 14(5). e0216881–e0216881. 116 indexed citations
20.
Khan, Muhammad Numan, et al.. (2002). Effects of planting date, chlorotoluron + MCPA and wheat varieties on weed control and wheat yield. Sarhad Journal of Agriculture. 3 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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