M. Sié

1.1k total citations
29 papers, 455 citations indexed

About

M. Sié is a scholar working on Plant Science, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, M. Sié has authored 29 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Plant Science, 8 papers in Genetics and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in M. Sié's work include Rice Cultivation and Yield Improvement (21 papers), Genetics and Plant Breeding (10 papers) and GABA and Rice Research (8 papers). M. Sié is often cited by papers focused on Rice Cultivation and Yield Improvement (21 papers), Genetics and Plant Breeding (10 papers) and GABA and Rice Research (8 papers). M. Sié collaborates with scholars based in Ivory Coast, Benin and United States. M. Sié's co-authors include Koichi Futakuchi, M.C.S. Wopereis, S. A. Ogunbayo, Eklou A. Somado, Kouamé Miézan, Michaël Dingkuhn, Kayode Sanni, Adam Ahanchédé, Jonne Rodenburg and Aliou Diagne and has published in prestigious journals such as Field Crops Research, Crop Science and Crop Protection.

In The Last Decade

M. Sié

29 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Sié Ivory Coast	14	383	97	78	56	52	29	455
S. Twumasi‐Afriyie Ghana	13	283 0.7×	114 1.2×	35 0.4×	69 1.2×	173 3.3×	44	420
J. A. G. van Leur Australia	14	447 1.2×	53 0.5×	29 0.4×	22 0.4×	62 1.2×	19	474
D. V. Seshu Philippines	14	471 1.2×	87 0.9×	49 0.6×	16 0.3×	50 1.0×	37	515
Mohamed Labdi Algeria	7	340 0.9×	56 0.6×	95 1.2×	18 0.3×	61 1.2×	14	386
Kunio Toriyama Indonesia	10	426 1.1×	134 1.4×	48 0.6×	24 0.4×	47 0.9×	32	489
H D Upadhyaya India	8	376 1.0×	110 1.1×	31 0.4×	31 0.6×	50 1.0×	26	449
Sarah Collinson United Kingdom	11	473 1.2×	69 0.7×	88 1.1×	33 0.6×	93 1.8×	18	537
Ashok Kumar Are India	7	340 0.9×	122 1.3×	28 0.4×	22 0.4×	116 2.2×	11	409
J. Gethi Kenya	13	592 1.5×	280 2.9×	38 0.5×	53 0.9×	217 4.2×	17	687
M. Zeid Egypt	9	310 0.8×	77 0.8×	55 0.7×	9 0.2×	69 1.3×	16	372

Countries citing papers authored by M. Sié

Since Specialization

Citations

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

Fields of papers citing papers by M. Sié

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Sié

This figure shows the co-authorship network connecting the top 25 collaborators of M. Sié. A scholar is included among the top collaborators of M. Sié 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 M. Sié. M. Sié 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

Sié, M., et al.. (2019). Resistance of selected Oryza glaberrima landraces and their intra-specific breeding lines to Beninese Rice yellow mottle virus isolates. Crop Protection. 119. 172–176. 4 indexed citations

Ogunbayo, S. A., M. Sié, D. K. Ojo, et al.. (2014). Comparative Performance of Forty-Eight Rice Genotypes in Diverse Environments Using the Ammi and GGE Biplot Analyses. 8(3). 139–152. 5 indexed citations

Futakuchi, Koichi, et al.. (2013). Morphological and Phenological Response of African Rice (Oryza glaberrima Steud.) under Different Hydrological Conditions. Asian Journal of Plant Sciences. 12(2). 79–86. 4 indexed citations

Sié, M., Gustave Djèdatin, Khady Nani Dramé, et al.. (2012). Molecular Profiling of Interspecific Lowland Rice Progenies Resulting from Crosses between TOG5681 and TOG5674 (Oryza glaberrima) and IR64 (Oryza sativa). International Journal of Biology. 4(3). 8 indexed citations

Sié, M., et al.. (2011). Assessing phenotypic diversity of interspecific rice varieties using agro-morphological characterization. Journal of Plant Breeding and Crop Science. 3(5). 74–86. 27 indexed citations

Futakuchi, Koichi, M. Sié, & M.C.S. Wopereis. (2011). Rice breeding strategy at AfricaRice.. 1–14. 2 indexed citations

Sié, M., et al.. (2010). Evaluation of intra and interspecific rice varieties adapted to valley bottom conditions in Burkina Faso. African Journal of Plant Science. 4(8). 308–318. 7 indexed citations

Saito, Kazuki, et al.. (2010). Grain Yield Performance of Selected Lowland NERICA and Modern Asian Rice Genotypes in West Africa. Crop Science. 50(1). 281–291. 20 indexed citations

Koné, Brahima, et al.. (2010). Long-term effect of Mali phosphate rock on the grain yield of interspecifics and saltiva rice cultivars on acid soil in a humid forest zone of Côte d’Ivoire. International Journal of Biological and Chemical Sciences. 4(3). 4 indexed citations

10.

Futakuchi, Koichi & M. Sié. (2009). Better exploitation of african rice (Oryza glaberrima Steud.) in varietal development for resource-poor farmers in West and Central Africa.. Agricultural Journal. 4(2). 96–102. 27 indexed citations

11.

Sié, M., et al.. (2009). Release of four new interspecific varieties for the rainfed lowland in Burkina Faso. 32(1). 3 indexed citations

12.

Sié, M., et al.. (2008). Regional Yield Evaluation of the Interspecific Hybrids (O. glaberrimax O. sativa) and Intraspecific (O. sativa x O. sativa) Lowland Rice. Asian Journal of Plant Sciences. 7(2). 130–139. 17 indexed citations

13.

Sanni, Kayode, et al.. (2008). Ratooning Potential of Interspecific NERICA Rice Varieties (Oryza glaberrimaxOryza sativa). International Journal of Botany. 5(1). 112–115. 13 indexed citations

14.

Sanni, Kayode, O. J. Ariyo, D. K. Ojo, et al.. (2008). Additive Main Effects and Multiplicative Interactions Analysis of Grain Yield Performances in Rice Genotypes Across Environments. Asian Journal of Plant Sciences. 8(1). 48–53. 12 indexed citations

15.

Ogunbayo, S. A., D. K. Ojo, O. J. Ariyo, et al.. (2007). Genetic Comparisons of Landrace Rice Accessions by Morphological and RAPDs Techniques. Asian Journal of Plant Sciences. 6(4). 653–666. 5 indexed citations

16.

Rodenburg, Jonne, Sylvester O. Oikeh, Koichi Futakuchi, et al.. (2006). Achievements and impact of NERICA on sustainable rice production in sub-Saharan Africa. 28 indexed citations

17.

Onasanya, A., et al.. (2006). Existence of Two Pathotypes of Rice Yellow mottle virus, Genus Sobemovirus, in Mali. Plant Pathology Journal. 5(3). 368–372. 14 indexed citations

18.

Sié, M., et al.. (1999). Structure génétique des variétés traditionnelles de riz ( Oryza sp.)du Burkina Faso. 11(2). 57–71. 1 indexed citations

19.

Sié, M., Michaël Dingkuhn, M.C.S. Wopereis, & Kouamé Miézan. (1998). Rice crop duration and leaf appearance rate in a variable thermal environment. II. Comparison of genotypes. Field Crops Research. 58(2). 129–140. 17 indexed citations

20.

Sié, M., Michaël Dingkuhn, M.C.S. Wopereis, & Kouamé Miézan. (1998). Rice crop duration and leaf appearance rate in a variable thermal environment. III. Heritability of photothermal traits. Field Crops Research. 58(2). 141–152. 6 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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