Melissa H. Jia

1.9k total citations
48 papers, 1.3k citations indexed

About

Melissa H. Jia is a scholar working on Plant Science, Genetics and Cell Biology. According to data from OpenAlex, Melissa H. Jia has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Plant Science, 32 papers in Genetics and 10 papers in Cell Biology. Recurrent topics in Melissa H. Jia's work include Genetic Mapping and Diversity in Plants and Animals (32 papers), Plant Disease Resistance and Genetics (24 papers) and Rice Cultivation and Yield Improvement (23 papers). Melissa H. Jia is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (32 papers), Plant Disease Resistance and Genetics (24 papers) and Rice Cultivation and Yield Improvement (23 papers). Melissa H. Jia collaborates with scholars based in United States, China and Taiwan. Melissa H. Jia's co-authors include Yulin Jia, Anna M. McClung, Robert G. Fjellstrom, Hesham A. Agrama, Wengui Yan, Georgia C. Eizenga, Aaron K. Jackson, Y. A. Wamishe, Ming‐Hsuan Chen and David R. Gealy and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Melissa H. Jia

47 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melissa H. Jia United States 20 1.1k 604 366 128 44 48 1.3k
Peng Xu China 20 1.1k 0.9× 430 0.7× 448 1.2× 69 0.5× 72 1.6× 85 1.2k
B. C. Viraktamath India 21 1.1k 1.0× 369 0.6× 239 0.7× 79 0.6× 50 1.1× 58 1.2k
Tatiana V. Danilova United States 21 1.4k 1.2× 279 0.5× 424 1.2× 98 0.8× 57 1.3× 37 1.5k
Jean‐Marie Jacquemin Belgium 16 887 0.8× 256 0.4× 373 1.0× 60 0.5× 47 1.1× 51 1.1k
Tokio Imbe Japan 22 1.2k 1.0× 582 1.0× 227 0.6× 175 1.4× 52 1.2× 44 1.3k
Kevin B. Alpert United States 8 1.4k 1.2× 640 1.1× 788 2.2× 35 0.3× 46 1.0× 10 1.6k
Josh Clevenger United States 21 1.5k 1.3× 295 0.5× 608 1.7× 45 0.4× 31 0.7× 59 1.7k
Judith M. Kolkman United States 19 1.2k 1.1× 373 0.6× 315 0.9× 91 0.7× 42 1.0× 27 1.3k
M. L. Carson United States 23 1.4k 1.2× 489 0.8× 383 1.0× 278 2.2× 69 1.6× 54 1.5k
Xinli Sun China 15 1.9k 1.7× 975 1.6× 348 1.0× 103 0.8× 43 1.0× 35 2.1k

Countries citing papers authored by Melissa H. Jia

Since Specialization
Citations

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

Fields of papers citing papers by Melissa H. Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melissa H. Jia. 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 Melissa H. Jia. The network helps show where Melissa H. Jia may publish in the future.

Co-authorship network of co-authors of Melissa H. Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Melissa H. Jia. A scholar is included among the top collaborators of Melissa H. Jia 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 Melissa H. Jia. Melissa H. Jia 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
2.
Eizenga, Georgia C., Ehsan Shakiba, Jeremy D. Edwards, et al.. (2023). Yield component QTLs identified by genome‐wide association mapping validated in a diverse tropical japonica × tropical japonica rice biparental mapping population. Crop Science. 63(4). 2371–2392. 1 indexed citations
3.
Zhao, Haijun, Yan Liu, Melissa H. Jia, & Yulin Jia. (2021). An Allelic Variant of the Broad-Spectrum Blast Resistance Gene Ptr in Weedy Rice Is Associated with Resistance to the Most Virulent Blast Race IB-33. Plant Disease. 106(6). 1675–1680. 6 indexed citations
4.
Oh, Youngjae, Seonghee Lee, Pratibha Singh, et al.. (2021). Analysis of Differentially Expressed Rice Genes Reveals the ATP-Binding Cassette Transporters as Candidate Genes Against the Sheath Blight Pathogen, Rhizoctonia solani. SHILAP Revista de lepidopterología. 2(2). 105–115. 4 indexed citations
5.
Jia, Yulin, et al.. (2021). Mapping Blast Resistance Genes in Rice Varieties ‘Minghui 63’ and ‘M-202’. Plant Disease. 106(4). 1175–1182. 1 indexed citations
6.
Jia, Yulin, Zhonghua Wang, Melissa H. Jia, James C. Neil, & K. A. K. Moldenhauer. (2019). Development and Characterization of a Large Mutant Population of a Rice Variety Katy for Functional Genomics Studies and Breeding. 1 indexed citations
7.
Eizenga, Georgia C., Melissa H. Jia, Aaron K. Jackson, et al.. (2018). Validation of Yield Component Traits Identified by Genome‐Wide Association Mapping in a tropical japonica × tropical japonica Rice Biparental Mapping Population. The Plant Genome. 12(1). 14 indexed citations
8.
Chen, Xinglong, Yulin Jia, Melissa H. Jia, et al.. (2018). Functional Interactions Between Major Rice Blast Resistance Genes, Pi-ta and Pi-b, and Minor Blast Resistance Quantitative Trait Loci. Phytopathology. 108(9). 1095–1103. 10 indexed citations
9.
Li, Xiaobai, Wengui Yan, Hesham A. Agrama, et al.. (2016). Genetic analysis of genetic basis of a physiological disorder “straighthead” in rice (Oryza sativa L.). Genes & Genomics. 38(5). 453–457. 5 indexed citations
10.
Jia, Yulin, et al.. (2014). Registration of a Rice Gene Mapping Population of Lemont × Jasmine 85 Recombinant Inbred Lines. Journal of Plant Registrations. 9(1). 128–132. 3 indexed citations
11.
Ma, Jianbing, Melissa H. Jia, & Yulin Jia. (2014). Characterization of Rice Blast Resistance Gene Pi61(t) in Rice Germplasm. Plant Disease. 98(9). 1200–1204. 9 indexed citations
12.
Venu, R C, Jianbing Ma, Yulin Jia, et al.. (2014). Identification of Candidate Genes Associated with Positive and Negative Heterosis in Rice. PLoS ONE. 9(4). e95178–e95178. 14 indexed citations
13.
Gealy, David R., K. A. K. Moldenhauer, & Melissa H. Jia. (2013). Field performance of STG06L-35-061, a new genetic resource developed from crosses between weed-suppressive indica rice and commercial southern U.S. long-grains. Plant and Soil. 370(1-2). 277–293. 18 indexed citations
14.
Pan, Xuhao, Qijun Zhang, Wengui Yan, et al.. (2012). Development of Genetic Markers Linked to Straighthead Resistance through Fine Mapping in Rice (Oryza sativa L.). PLoS ONE. 7(12). e52540–e52540. 7 indexed citations
15.
Jia, Yulin, et al.. (2012). Identification of the Rice Blast Resistance Gene Pib in the National Small Grains Collection. Phytopathology. 102(7). 700–706. 31 indexed citations
16.
Jia, Yulin, Melissa H. Jia, Xueyan Wang, & Guangjie Liu. (2012). Indica and Japonica Crosses Resulting in Linkage Block and Recombination Suppression on Rice Chromosome 12. PLoS ONE. 7(8). e43066–e43066. 16 indexed citations
17.
Agrama, Hesham A., Wengui Yan, Melissa H. Jia, Robert G. Fjellstrom, & Anna M. McClung. (2010). Genetic structure associated with diversity and geographic distribution in the USDA rice world collection. Natural Science. 2(4). 247–291. 56 indexed citations
18.
Li, Xiaobai, Wengui Yan, Hesham A. Agrama, et al.. (2010). Genotypic and phenotypic characterization of genetic differentiation and diversity in the USDA rice mini-core collection. Genetica. 138(11-12). 1221–1230. 75 indexed citations
19.
Agrama, Hesham A., Wengui Yan, Robert G. Fjellstrom, et al.. (2009). Genetic Assessment of a Mini‐Core Subset Developed from the USDA Rice Genebank. Crop Science. 49(4). 1336–1346. 128 indexed citations
20.
Venu, R C, Yulin Jia, Malali Gowda, et al.. (2007). RL-SAGE and microarray analysis of the rice transcriptome after Rhizoctonia solani infection. Molecular Genetics and Genomics. 278(4). 421–431. 48 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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