Amir Shakeel

1.8k total citations
78 papers, 1.1k citations indexed

About

Amir Shakeel is a scholar working on Plant Science, Agronomy and Crop Science and Insect Science. According to data from OpenAlex, Amir Shakeel has authored 78 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Plant Science, 11 papers in Agronomy and Crop Science and 7 papers in Insect Science. Recurrent topics in Amir Shakeel's work include Research in Cotton Cultivation (55 papers), Rice Cultivation and Yield Improvement (15 papers) and Plant Stress Responses and Tolerance (13 papers). Amir Shakeel is often cited by papers focused on Research in Cotton Cultivation (55 papers), Rice Cultivation and Yield Improvement (15 papers) and Plant Stress Responses and Tolerance (13 papers). Amir Shakeel collaborates with scholars based in Pakistan, China and Saudi Arabia. Amir Shakeel's co-authors include Muhammad Mubashar Zafar, Abdul Razzaq, Muhammad Ashraf, Asif Saeed, Huijuan Mo, Arfan Ali, Muhammad Awais Farooq, Muhammad Farrukh Saleem, Jehanzeb Farooq and Maozhi Ren and has published in prestigious journals such as Scientific Reports, Frontiers in Plant Science and Journal of Food Science.

In The Last Decade

Amir Shakeel

72 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amir Shakeel Pakistan 20 1.1k 188 111 87 62 78 1.1k
Muhammad Shahid Iqbal Pakistan 16 735 0.7× 151 0.8× 150 1.4× 36 0.4× 60 1.0× 99 848
Olga E. Scholten Netherlands 21 1.2k 1.1× 197 1.0× 61 0.5× 85 1.0× 69 1.1× 50 1.3k
C. G. Cook United States 13 494 0.5× 99 0.5× 70 0.6× 98 1.1× 84 1.4× 42 618
Hüsrev Mennan Türkiye 16 816 0.8× 91 0.5× 284 2.6× 69 0.8× 90 1.5× 77 911
Víctor A. González‐Hernández Mexico 14 482 0.5× 87 0.5× 114 1.0× 45 0.5× 48 0.8× 130 704
Abdullah Kahraman Türkiye 17 929 0.9× 178 0.9× 69 0.6× 48 0.6× 42 0.7× 51 1.1k
Judith E. van de Mortel Netherlands 9 1.2k 1.1× 203 1.1× 41 0.4× 101 1.2× 65 1.0× 11 1.3k
Alok Ranjan India 19 1.0k 1.0× 495 2.6× 31 0.3× 55 0.6× 23 0.4× 36 1.2k
Mehmet Emin Çalışkan Türkiye 18 722 0.7× 198 1.1× 62 0.6× 39 0.4× 192 3.1× 63 973
Timothy L. Widmer United States 14 946 0.9× 152 0.8× 105 0.9× 89 1.0× 134 2.2× 51 1.1k

Countries citing papers authored by Amir Shakeel

Since Specialization
Citations

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

Fields of papers citing papers by Amir Shakeel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amir Shakeel

This figure shows the co-authorship network connecting the top 25 collaborators of Amir Shakeel. A scholar is included among the top collaborators of Amir Shakeel 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 Amir Shakeel. Amir Shakeel 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.
Shakeel, Amir, et al.. (2024). Assessment of Genetic Diversity in Bt Cotton Germplasm using Multivariate Analysis. 3(2). 267–275. 1 indexed citations
2.
Ziaf, Khurram, Muhammad Naveed, Khuram Shehzad Khan, et al.. (2023). L-Tryptophan-Dependent Auxin-Producing Plant-Growth-Promoting Bacteria Improve Seed Yield and Quality of Carrot by Altering the Umbel Order. Horticulturae. 9(9). 954–954. 8 indexed citations
3.
Ziaf, Khurram, M. A. Ghani, Iftikhar Ahmad, et al.. (2023). Differential accumulation pattern of cadmium in plant parts of pea varieties in response to varying cadmium levels. South African Journal of Botany. 161. 599–606. 4 indexed citations
4.
Zafar, Muhammad Mubashar, Yufang Zhang, Muhammad Awais Farooq, et al.. (2022). Biochemical and Associated Agronomic Traits in Gossypium hirsutum L. under High Temperature Stress. Agronomy. 12(6). 1310–1310. 25 indexed citations
5.
Sharif, Iram, Zhiyi Wu, Rana Muhammad Atif, et al.. (2022). Characterization of SOD and GPX Gene Families in the Soybeans in Response to Drought and Salinity Stresses. Antioxidants. 11(3). 460–460. 43 indexed citations
6.
Zafar, Muhammad Mubashar, Amir Shakeel, Muhammad Haroon, et al.. (2021). Effects of Salinity Stress on Some Growth, Physiological, and Biochemical Parameters in Cotton (Gossypium hirsutum L.) Germplasm. Journal of Natural Fibers. 19(14). 8854–8886. 23 indexed citations
7.
Zafar, Muhammad Mubashar, Abdul Manan, Abdul Razzaq, et al.. (2021). Exploiting Agronomic and Biochemical Traits to Develop Heat Resilient Cotton Cultivars under Climate Change Scenarios. Agronomy. 11(9). 1885–1885. 35 indexed citations
8.
Manan, Abdul, Muhammad Mubashar Zafar, Maozhi Ren, et al.. (2021). Genetic analysis of biochemical, fiber yield and quality traits of upland cotton under high-temperature. Plant Production Science. 25(1). 105–119. 30 indexed citations
9.
Saleem, Muhammad Farrukh, et al.. (2019). Exogenous Selenium-Instigated Physiochemical Transformations Impart Terminal Heat Tolerance in Bt Cotton. Journal of soil science and plant nutrition. 20(1). 274–283. 13 indexed citations
10.
Ullah, Aziz, et al.. (2019). Assessment of drought tolerance in some cotton genotypes based on drought tolerance indices.. The Journal of Animal and Plant Sciences. 29(4). 998–1009. 9 indexed citations
11.
Shakeel, Amir, et al.. (2016). GENETIC DIVERGENCE ASSESSMENT IN UPLAND COTTON (Gossypium hirsutum L.) USING VARIOUS STATISTICAL TOOLS. 4(2). 62–69. 11 indexed citations
12.
Murtaza, Imtıyaz, et al.. (2016). Characterization and Antimicrobial Activity of Some Natural Dye Yielding Plant Species of Kashmir Valley. 32(2). 3 indexed citations
13.
Ali, Imran, Amir Shakeel, Asif Saeed, et al.. (2016). Combining ability analysis and heterotic studies for within-boll yield components and fibre quality in cotton.. The Journal of Animal and Plant Sciences. 26(1). 156–162. 7 indexed citations
14.
Shakeel, Amir, et al.. (2015). QTL MAPPING FOR SOME IMPORTANT DROUGHT TOLERANT TRAITS IN UPLAND COTTON. The Journal of Animal and Plant Sciences. 25(2). 502–509. 19 indexed citations
15.
Shakeel, Amir, et al.. (2015). Genetic diversity among upland cotton genotypes for quality and yield related traits.. The Pakistan Journal of Agricultural Sciences. 52(1). 73–77. 15 indexed citations
16.
Saeed, Asif, et al.. (2014). Genetic analysis to find suitable parents for development of tomato hybrids.. The Journal Agriculture and Forestry. 60(4). 255–265. 16 indexed citations
17.
Shakeel, Amir, et al.. (2013). Genetic analysis of earliness indicators in upland cotton.
18.
Shakeel, Amir, et al.. (2012). Assessment of best parents and superior cross combinations for earliness related traits in upland cotton (Gossypium hirsutum L.).. The Journal of Animal and Plant Sciences. 22(3). 722–727. 5 indexed citations
19.
Sarwar, Muhammad, et al.. (2012). COMPARISON OF BT AND NON-BT COTTON (GOSSYPIUM HIRSUTUM L.) CULTIVARS FOR EARLINESS INDICATORS AT DIFFERENT SOWING DATES AND NITROGEN LEVELS. 4 indexed citations
20.
Shakeel, Amir, et al.. (2006). Combining ability for flag leaf area, yield and yield components in bread wheat. 7 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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