Shihab Uddin

619 total citations
34 papers, 423 citations indexed

About

Shihab Uddin is a scholar working on Plant Science, Agronomy and Crop Science and Soil Science. According to data from OpenAlex, Shihab Uddin has authored 34 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 9 papers in Agronomy and Crop Science and 9 papers in Soil Science. Recurrent topics in Shihab Uddin's work include Plant responses to elevated CO2 (14 papers), Atmospheric chemistry and aerosols (7 papers) and Agronomic Practices and Intercropping Systems (7 papers). Shihab Uddin is often cited by papers focused on Plant responses to elevated CO2 (14 papers), Atmospheric chemistry and aerosols (7 papers) and Agronomic Practices and Intercropping Systems (7 papers). Shihab Uddin collaborates with scholars based in Australia, Bangladesh and United Kingdom. Shihab Uddin's co-authors include Shahnaj Parvin, Roger Armstrong, Michael Tausz, Sabine Tausz‐Posch, Glenn J. Fitzgerald, Markus Löw, M. M. Rahman, Md Abdur Rouf Sarkar, Garry J. O’Leary and Shaikh Abdur Razzak and has published in prestigious journals such as PLoS ONE, New Phytologist and Plant Cell & Environment.

In The Last Decade

Shihab Uddin

29 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shihab Uddin Australia 13 268 101 76 76 65 34 423
Yanan Zhao China 13 229 0.9× 159 1.6× 73 1.0× 23 0.3× 121 1.9× 25 459
Shaozhong Kang China 7 116 0.4× 122 1.2× 19 0.3× 51 0.7× 71 1.1× 14 347
Erika J. Foster United States 9 150 0.6× 268 2.7× 17 0.2× 42 0.6× 44 0.7× 14 451
Yuyang Shan China 11 232 0.9× 265 2.6× 14 0.2× 73 1.0× 48 0.7× 32 508
Pragati Pramanik India 10 152 0.6× 220 2.2× 20 0.3× 54 0.7× 60 0.9× 20 373
Girish Chander India 14 296 1.1× 281 2.8× 15 0.2× 49 0.6× 124 1.9× 53 582
Songrui Ning China 13 251 0.9× 273 2.7× 14 0.2× 71 0.9× 60 0.9× 34 491
Abdoul Kader Mounkaila Hamani China 15 415 1.5× 234 2.3× 13 0.2× 94 1.2× 135 2.1× 38 628
Guilherme Torres United States 6 186 0.7× 119 1.2× 26 0.3× 42 0.6× 100 1.5× 12 339
Jiayue Yang China 9 65 0.2× 112 1.1× 31 0.4× 40 0.5× 15 0.2× 14 295

Countries citing papers authored by Shihab Uddin

Since Specialization
Citations

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

Fields of papers citing papers by Shihab Uddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shihab Uddin

This figure shows the co-authorship network connecting the top 25 collaborators of Shihab Uddin. A scholar is included among the top collaborators of Shihab Uddin 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 Shihab Uddin. Shihab Uddin 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
1.
Uddin, Shihab, Naveed Aslam, Shahnaj Parvin, et al.. (2025). Co-application of amendments with contrasting modes of action improves physicochemical properties and boosts the productivity of alkaline dispersive subsoils. Plant and Soil. 517(1). 285–305. 1 indexed citations
2.
Parvin, Shahnaj, Shihab Uddin, Sabine Tausz‐Posch, et al.. (2025). Metabolite profiling reveals distinct changes in C-and N-metabolism of lentil (Lens culinaris Medik.) under CO2 enrichment in two contrasting growing seasons in the field. Environmental and Experimental Botany. 237. 106182–106182. 1 indexed citations
3.
Nawaz, Ahmad, et al.. (2024). Fueling sustainability: Co-pyrolysis of microalgae biomass and waste plastics for renewable energy and waste mitigation. Biomass and Bioenergy. 187. 107303–107303. 30 indexed citations
4.
Verburg, Kirsten, Roger Armstrong, J. S. Biggs, et al.. (2024). Identifying soil and climate drivers of soil water conditions favourable for deep phosphorus placement for wheat in Australia using spatial modelling. Field Crops Research. 315. 109448–109448.
5.
Faruque, Mohammed Omar, Shihab Uddin, Mohammad M. Hossain, et al.. (2024). A comprehensive review on microalgae-driven heavy metals removal from industrial wastewater using living and nonliving microalgae. Journal of Hazardous Materials Advances. 16. 100492–100492. 18 indexed citations
6.
Uddin, Shihab, Shahnaj Parvin, Roger Armstrong, et al.. (2023). Water use dynamics of dryland wheat grown under elevated CO2 with supplemental nitrogen. Crop and Pasture Science. 75(1).
7.
8.
Uddin, Shihab, et al.. (2023). Textile weaving dataset for machine learning to predict rejection and production of a weaving factory. Data in Brief. 47. 108995–108995. 6 indexed citations
9.
Fitzgerald, Glenn J., et al.. (2021). Machine learning produces higher prediction accuracy than the Jarvis-type model of climatic control on stomatal conductance in a dryland wheat agro-ecosystem. Agricultural and Forest Meteorology. 304-305. 108423–108423. 12 indexed citations
10.
Miah, Md Saef Ullah, et al.. (2020). A Geofencing-based Recent Trends Identification from Twitter Data. IOP Conference Series Materials Science and Engineering. 769(1). 12008–12008. 4 indexed citations
11.
Tavakkoli, Ehsan, Zhe Weng, Iman Tahmasbian, et al.. (2019). Understanding the amelioration processes of the subsoil application of amendments. 95–102. 3 indexed citations
12.
Parvin, Shahnaj, Shihab Uddin, Sabine Tausz‐Posch, et al.. (2019). Grain mineral quality of dryland legumes as affected by elevated CO2 and drought: a FACE study on lentil (Lens culinaris) and faba bean (Vicia faba). Crop and Pasture Science. 70(3). 244–253. 15 indexed citations
13.
Parvin, Shahnaj, Shihab Uddin, Sabine Tausz‐Posch, et al.. (2019). Elevated CO2 improves yield and N2 fixation but not grain N concentration of faba bean (Vicia faba L.) subjected to terminal drought. Environmental and Experimental Botany. 165. 161–173. 27 indexed citations
14.
Uddin, Shihab, Shahnaj Parvin, Markus Löw, et al.. (2018). The water use dynamics of canola cultivars grown under elevated CO2 are linked to their leaf area development. Journal of Plant Physiology. 229. 164–169. 7 indexed citations
15.
Uddin, Shihab, Markus Löw, Shahnaj Parvin, et al.. (2018). Elevated [CO2] mitigates the effect of surface drought by stimulating root growth to access sub-soil water. PLoS ONE. 13(6). e0198928–e0198928. 39 indexed citations
16.
Uddin, Shihab, Md Abdur Rouf Sarkar, & M. M. Rahman. (2013). Effect of nitrogen and potassium on yield of dry direct seeded rice cv. NERICA 1 in aus season. International Journal of Agronomy and Plant Production. 4(1). 69–75. 26 indexed citations
17.
Uddin, Shihab & Shahnaj Parvin. (2013). Yield performance of mungbean (Vigna radiata L.) as influenced by irrigation.. International Journal of Agronomy and Plant Production. 4. 3659–3667.
18.
Uddin, Shihab, Shahnaj Parvin, & MA Awal. (2013). Morpho-physiological aspects of mungbean (Vigna radiata L.) in response to water stress.. International Journal of Agricultural Science and Research. 3(2). 137–148. 18 indexed citations
19.
Parvin, Shahnaj, et al.. (2013). Effect of Weeding and Foliar Urea Spray on the Yield and Yield Components of Boro Rice.
20.
Murayama, Seiichi, et al.. (1990). Effects of agronomical practices on sugarcane yield.. 1–6. 1 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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