Ebrahim Kazman

1.1k total citations
17 papers, 778 citations indexed

About

Ebrahim Kazman is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Ebrahim Kazman has authored 17 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 9 papers in Genetics and 5 papers in Agronomy and Crop Science. Recurrent topics in Ebrahim Kazman's work include Wheat and Barley Genetics and Pathology (16 papers), Genetics and Plant Breeding (15 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Ebrahim Kazman is often cited by papers focused on Wheat and Barley Genetics and Pathology (16 papers), Genetics and Plant Breeding (15 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Ebrahim Kazman collaborates with scholars based in Germany, France and United States. Ebrahim Kazman's co-authors include C. Friedrich H. Longin, Erhard Ebmeyer, Jochen C. Reif, Johannes Schacht, Tobias Würschum, Ralf Schachschneider, Yusheng Zhao, Manje Gowda, Viktor Korzun and Guozheng Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Experimental Botany and Frontiers in Plant Science.

In The Last Decade

Ebrahim Kazman

17 papers receiving 760 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ebrahim Kazman Germany 12 739 471 133 69 12 17 778
Johannes Schacht Germany 10 671 0.9× 443 0.9× 109 0.8× 70 1.0× 13 1.1× 12 712
Ralf Schachschneider Germany 9 613 0.8× 408 0.9× 99 0.7× 97 1.4× 14 1.2× 9 662
Quddoos H. Muqaddasi Germany 14 467 0.6× 244 0.5× 85 0.6× 53 0.8× 8 0.7× 20 482
Tianheng Ren China 16 773 1.0× 279 0.6× 124 0.9× 150 2.2× 22 1.8× 51 826
Paul Eckermann Australia 14 611 0.8× 301 0.6× 93 0.7× 135 2.0× 6 0.5× 23 655
A. R. Schlatter United States 8 931 1.3× 385 0.8× 114 0.9× 79 1.1× 39 3.3× 9 962
Hanif Khan India 14 536 0.7× 165 0.4× 95 0.7× 146 2.1× 16 1.3× 51 583
S. Bernard France 16 875 1.2× 434 0.9× 90 0.7× 241 3.5× 16 1.3× 29 929
Khaled F. M. Salem Egypt 11 435 0.6× 217 0.5× 49 0.4× 37 0.5× 21 1.8× 19 477
Elena Chiapparino Italy 8 406 0.5× 235 0.5× 91 0.7× 60 0.9× 17 1.4× 8 450

Countries citing papers authored by Ebrahim Kazman

Since Specialization
Citations

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

Fields of papers citing papers by Ebrahim Kazman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ebrahim Kazman

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

All Works

17 of 17 papers shown
1.
2.
Reif, Jochen C., Erhard Ebmeyer, Patrick Thorwarth, et al.. (2021). Reciprocal Recurrent Genomic Selection Is Impacted by Genotype-by-Environment Interactions. Frontiers in Plant Science. 12. 703419–703419. 5 indexed citations
3.
Kazman, Ebrahim, et al.. (2019). Evaluation of the genetic architecture and the potential of genomics-assisted breeding of quality traits in two large panels of durum wheat. Theoretical and Applied Genetics. 132(6). 1873–1886. 7 indexed citations
4.
Thorwarth, Patrick, Guozheng Liu, Erhard Ebmeyer, et al.. (2018). Dissecting the genetics underlying the relationship between protein content and grain yield in a large hybrid wheat population. Theoretical and Applied Genetics. 132(2). 489–500. 31 indexed citations
5.
Würschum, Tobias, Guozheng Liu, Philipp H. G. Boeven, et al.. (2018). Exploiting the Rht portfolio for hybrid wheat breeding. Theoretical and Applied Genetics. 131(7). 1433–1442. 28 indexed citations
6.
Sannemann, Wiebke, Andreas Maurer, Jens Léon, et al.. (2018). Adaptive selection of founder segments and epistatic control of plant height in the MAGIC winter wheat population WM-800. BMC Genomics. 19(1). 559–559. 25 indexed citations
7.
Thorwarth, Patrick, Hans‐Peter Piepho, Yusheng Zhao, et al.. (2018). Higher grain yield and higher grain protein deviation underline the potential of hybrid wheat for a sustainable agriculture. Plant Breeding. 137(3). 326–337. 43 indexed citations
8.
Würschum, Tobias, Willmar L. Leiser, Ebrahim Kazman, & C. Friedrich H. Longin. (2016). Genetic control of protein content and sedimentation volume in European winter wheat cultivars. Theoretical and Applied Genetics. 129(9). 1685–1696. 46 indexed citations
9.
Matros, Andrea, Guozheng Liu, Anja Hartmann, et al.. (2016). Genome–metabolite associations revealed low heritability, high genetic complexity, and causal relations for leaf metabolites in winter wheat (Triticum aestivum). Journal of Experimental Botany. 68(3). erw441–erw441. 29 indexed citations
10.
Zhao, Yusheng, Li Zuo, Guozheng Liu, et al.. (2015). Genome-based establishment of a high-yielding heterotic pattern for hybrid wheat breeding. Proceedings of the National Academy of Sciences. 112(51). 15624–15629. 144 indexed citations
11.
Albrecht, Theresa, M. Oberforster, Hubert Kempf, et al.. (2015). Genome-wide association mapping of preharvest sprouting resistance in a diversity panel of European winter wheats. Journal of Applied Genetics. 56(3). 277–285. 29 indexed citations
12.
Longin, C. Friedrich H., Manje Gowda, Jonathan Mühleisen, et al.. (2013). Hybrid wheat: quantitative genetic parameters and consequences for the design of breeding programs. Theoretical and Applied Genetics. 126(11). 2791–2801. 126 indexed citations
13.
Würschum, Tobias, Simon Langer, C. Friedrich H. Longin, et al.. (2013). Population structure, genetic diversity and linkage disequilibrium in elite winter wheat assessed with SNP and SSR markers. Theoretical and Applied Genetics. 126(6). 1477–1486. 144 indexed citations
14.
Gowda, Manje, Yusheng Zhao, Tobias Würschum, et al.. (2013). Relatedness severely impacts accuracy of marker-assisted selection for disease resistance in hybrid wheat. Heredity. 112(5). 552–561. 53 indexed citations
15.
Miedaner, Thomas, Yusheng Zhao, Manje Gowda, et al.. (2013). Genetic architecture of resistance to Septoria tritici blotch in European wheat. BMC Genomics. 14(1). 858–858. 54 indexed citations
16.
Kazman, Ebrahim, et al.. (2010). How will a wheat variety look in 5 to 10 years? How will wheat breeding cope with future challenges?. 5–10. 1 indexed citations
17.
Lelley, T., Ebrahim Kazman, Katrien M. Devos, & M. D. Gale. (1995). Use of RFLPs to determine the chromosome composition of tetraploid triticale (A/B)(A/B)RR. Genome. 38(2). 250–254. 5 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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