Muluneh Tamiru

5.4k total citations · 2 hit papers
24 papers, 3.0k citations indexed

About

Muluneh Tamiru is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Muluneh Tamiru has authored 24 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 12 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Muluneh Tamiru's work include Genetic Mapping and Diversity in Plants and Animals (7 papers), Plant Disease Resistance and Genetics (6 papers) and Plant-Microbe Interactions and Immunity (5 papers). Muluneh Tamiru is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (7 papers), Plant Disease Resistance and Genetics (6 papers) and Plant-Microbe Interactions and Immunity (5 papers). Muluneh Tamiru collaborates with scholars based in Japan, United Kingdom and Germany. Muluneh Tamiru's co-authors include Ryohei Terauchi, Akira Abe, Kentaro Yoshida, Hiroki Takagi, Satoshi Natsume, Chikako Mitsuoka, Liliana M. Cano, Sophien Kamoun, Shunichi Kosugi and Hideki Innan and has published in prestigious journals such as Nature Biotechnology, PLoS ONE and New Phytologist.

In The Last Decade

Muluneh Tamiru

24 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

QTL‐seq: rapid mapping of quantitative trait loci in rice by whole genome resequencing of DNA from two bulked populations

2013 989 citations Hiroki Takagi, Akira Abe et al. The Plant Journal profile →
Genome sequencing reveals agronomically important loci in rice using MutMap

2012 939 citations Akira Abe, Shunichi Kosugi et al. Nature Biotechnology profile →

Peers

Countries citing papers authored by Muluneh Tamiru

Since Specialization

Citations

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

Fields of papers citing papers by Muluneh Tamiru

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muluneh Tamiru

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

#	Work	Indexed citations
1	Identification of candidate flowering and sex genes in white Guinea yam (D. rotundata Poir.) by SuperSAGE transcriptome profiling 2019 ·PLoS ONE ·Gezahegn Girma, Satoshi Natsume, Anna Vittoria Carluccio, Hiroki Takagi, Hideo Matsumura, Aiko Uemura, Satoru Muranaka, H. Takagi, Livia Stavolone, Melaku Gedil, Charles Spillane, Ryohei Terauchi, Muluneh Tamiru	15
2	Next-generation sequencing-based bulked segregant analysis for QTL mapping in the heterozygous species Brassica rapa 2019 ·Theoretical and Applied Genetics ·(unknown), (unknown), Muluneh Tamiru, Akira Abe, (unknown), Aiko Uemura, Kaori Oikawa, (unknown), Hironori Koga, Tomohiro Imamura, Ryohei Terauchi, Hiroki Takagi	20
3	AgriSeqDB: an online RNA-Seq database for functional studies of agriculturally relevant plant species 2018 ·BMC Plant Biology ·Andrew Robinson, Muluneh Tamiru, (unknown), (unknown), Andrew Williams, (unknown), (unknown), (unknown), James Whelan, Mathew G. Lewsey	12
4	Regulation of genome‐wide DNA methylation by mobile small RNAs 2017 ·New Phytologist ·Muluneh Tamiru, Thomas J. Hardcastle, Mathew G. Lewsey	44
5	A chloroplast‐localized protein LESION AND LAMINA BENDING affects defence and growth responses in rice 2016 ·New Phytologist ·Muluneh Tamiru, Hiroki Takagi, Akira Abe, Takao Yokota, Hiroyuki Kanzaki, Haruko Okamoto, Hiromasa Saitoh, Hideyuki Takahashi, Koki Fujisaki, Kaori Oikawa, Aiko Uemura, Satoshi Natsume, Yusuke Jikumaru, Hideyuki Matsuura, Kenji Umemura, Matthew J. Terry, Ryohei Terauchi	26
6	Whole genome sequencing approaches to understand Magnaporthe-rice interactions 2016 ·Physiological and Molecular Plant Pathology ·Ryohei Terauchi, Hiroyuki Kanzaki, Koki Fujisaki, Hiroki Takagi, Akira Abe, Kentaro Yoshida, Yudai Okuyama, Muluneh Tamiru, Hiromasa Saitoh	1
7	A cytochrome P450, OsDSS1, is involved in growth and drought stress responses in rice (Oryza sativa L.) 2015 ·Plant Molecular Biology ·Muluneh Tamiru, Jerwin R. Undan, Hiroki Takagi, Akira Abe, Kakoto Yoshida, (unknown), Satoshi Natsume, Aiko Uemura, Hiromasa Saitoh, Hideo Matsumura, Naoya Urasaki, Takao Yokota, Ryohei Terauchi	102
8	Development of Genomic Simple Sequence Repeat Markers for Yam 2015 ·Crop Science ·Muluneh Tamiru, Shinşuke Yamanaka, Chikako Mitsuoka, (unknown), H. Takagi, Antonio Lopez‐Montes, Alieu Sartie, Robert Asiedu, Ryohei Terauchi	15
9	Protoplast Cell Death Assay to Study Magnaporthe oryzae AVR Gene Function in Rice 2014 ·Methods in molecular biology ·Hiroyuki Kanzaki, Kentaro Yoshida, Hiromasa Saitoh, Muluneh Tamiru, Ryohei Terauchi	5
10	The rice (Oryza sativa L.) LESION MIMIC RESEMBLING, which encodes an AAA-type ATPase, is implicated in defense response 2014 ·Molecular Genetics and Genomics ·Rym Fekih, Muluneh Tamiru, Hiroyuki Kanzaki, Akira Abe, Kentaro Yoshida, Eiko Kanzaki, Hiromasa Saitoh, Hiroki Takagi, Satoshi Natsume, Jerwin R. Undan, (unknown), Ryohei Terauchi	56
11	QTL‐seq: rapid mapping of quantitative trait loci in rice by whole genome resequencing of DNA from two bulked populations breakdown → 2013 ·The Plant Journal ·Hiroki Takagi, Akira Abe, Kentaro Yoshida, Shunichi Kosugi, Satoshi Natsume, Chikako Mitsuoka, Aiko Uemura, Hiroe Utsushi, Muluneh Tamiru, Shohei Takuno, Hideki Innan, Liliana M. Cano, Sophien Kamoun, Ryohei Terauchi	989
12	MutMap+: Genetic Mapping and Mutant Identification without Crossing in Rice 2013 ·PLoS ONE ·Rym Fekih, Hiroki Takagi, Muluneh Tamiru, Akira Abe, Satoshi Natsume, Hiroki Yaegashi, Shailendra Sharma, Shiveta Sharma, Hiroyuki Kanzaki, Hideo Matsumura, Hiromasa Saitoh, Chikako Mitsuoka, Hiroe Utsushi, Aiko Uemura, Eiko Kanzaki, Shunichi Kosugi, Kentaro Yoshida, Liliana M. Cano, Sophien Kamoun, Ryohei Terauchi	230
13	Genome sequencing reveals agronomically important loci in rice using MutMap breakdown → 2012 ·Nature Biotechnology ·Akira Abe, Shunichi Kosugi, Kentaro Yoshida, Satoshi Natsume, Hiroki Takagi, Hiroyuki Kanzaki, Hideo Matsumura, Kakoto Yoshida, Chikako Mitsuoka, Muluneh Tamiru, Hideki Innan, Liliana M. Cano, Sophien Kamoun, Ryohei Terauchi	939
14	Mutation in <i>OsLMS</i>, a gene encoding a protein with two double-stranded RNA binding motifs, causes lesion mimic phenotype and early senescence in rice (<i>Oryza sativa</i> L.) 2012 ·Genes & Genetic Systems ·Jerwin R. Undan, Muluneh Tamiru, Akira Abe, Kentaro Yoshida, Shunichi Kosugi, Hiroki Takagi, Kakoto Yoshida, Hiroyuki Kanzaki, Hiromasa Saitoh, Rym Fekih, Shailendra Sharma, (unknown), Masahiro Yano, Ryohei Terauchi	28
15	Whole genome sequencing and future breeding of rice 2012 ·Journal of Plant Biochemistry and Biotechnology ·Ryohei Terauchi, Akira Abe, Hiroki Takagi, Kentaro Yoshida, Shunichi Kosugi, Satoshi Natsume, Hiroki Yaegashi, Hiroyuki Kanzaki, Hideo Matsumura, Chikako Mitsuoka, Hiroe Utsushi, Muluneh Tamiru	2
16	Comparative Analysis of Morphological and Farmers' Cognitive Diversity in Yam Landraces (Dioscorea spp.) from Southern Ethiopia 2011 ·CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research) ·Muluneh Tamiru, Heiko C. Becker, Brigitte L. Maass	13
17	A multifaceted genomics approach allows the isolation of the rice Pia ‐blast resistance gene consisting of two adjacent NBS‐LRR protein genes 2011 ·The Plant Journal ·Yudai Okuyama, Hiroyuki Kanzaki, Akira Abe, Kentaro Yoshida, Muluneh Tamiru, Hiromasa Saitoh, Takahiro Fujibe, Hideo Matsumura, Matthew Shenton, (unknown), Jerwin R. Undan, Akiko Ito, Teruo Sone, Ryohei Terauchi	253
18	Studying genome-wide DNA polymorphisms to understand Magnaporthe-rice interactions 2011 ·Australasian Plant Pathology ·Ryohei Terauchi, Kentaro Yoshida, Hiromasa Saitoh, Hiroyuki Kanzaki, Yudai Okuyama, Koki Fujisaki, (unknown), Akira Abe, Muluneh Tamiru, Yukio Tosa	3
19	Characterizing diversity in composition and pasting properties of tuber flour in yam germplasm (Dioscorea spp.) from Southern Ethiopia 2008 ·Journal of the Science of Food and Agriculture ·Muluneh Tamiru, Brigitte L. Maass, Elke Pawelzik	18
20	Diversity, distribution and management of yam landraces (Dioscorea spp.) in Southern Ethiopia 2007 ·Genetic Resources and Crop Evolution ·Muluneh Tamiru, Heiko C. Becker, Brigitte L. Maass	55

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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