Daniel Jeffers

1.4k total citations
29 papers, 594 citations indexed

About

Daniel Jeffers is a scholar working on Plant Science, Genetics and Cell Biology. According to data from OpenAlex, Daniel Jeffers has authored 29 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 14 papers in Genetics and 5 papers in Cell Biology. Recurrent topics in Daniel Jeffers's work include Genetic Mapping and Diversity in Plants and Animals (14 papers), Plant Disease Resistance and Genetics (8 papers) and Genetics and Plant Breeding (8 papers). Daniel Jeffers is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (14 papers), Plant Disease Resistance and Genetics (8 papers) and Genetics and Plant Breeding (8 papers). Daniel Jeffers collaborates with scholars based in United States, Mexico and China. Daniel Jeffers's co-authors include Manjit S. Kang, Kay Scheets, George Mahuku, A. W. Wangai, Margaret G. Redinbaugh, Muo Kasina, Douglas W. Miano, Z. M. Kinyua, Xingming Fan and M. M. Goodman and has published in prestigious journals such as International Journal of Food Microbiology, Theoretical and Applied Genetics and Crop Science.

In The Last Decade

Daniel Jeffers

29 papers receiving 548 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Jeffers United States 13 546 233 84 67 57 29 594
Javier Betrán United States 12 552 1.0× 252 1.1× 55 0.7× 85 1.3× 8 0.1× 16 595
Yanyong Cao China 15 566 1.0× 121 0.5× 38 0.5× 248 3.7× 40 0.7× 39 652
Xin Zhiyong China 12 823 1.5× 66 0.3× 34 0.4× 293 4.4× 26 0.5× 40 889
Martin Heckenberger Germany 14 848 1.6× 685 2.9× 18 0.2× 103 1.5× 32 0.6× 17 953
Stig Tuvesson Sweden 10 735 1.3× 295 1.3× 41 0.5× 189 2.8× 15 0.3× 10 791
Tsutomu Kuboyama Japan 20 736 1.3× 170 0.7× 27 0.3× 258 3.9× 9 0.2× 48 817
Yuanfu Ji United States 15 778 1.4× 80 0.3× 31 0.4× 237 3.5× 65 1.1× 24 823
H. S. Bariana Australia 9 621 1.1× 185 0.8× 13 0.2× 119 1.8× 52 0.9× 12 656
Christopher S. Cramer United States 12 510 0.9× 78 0.3× 168 2.0× 58 0.9× 19 0.3× 48 550
О. С. Афанасенко Russia 15 619 1.1× 130 0.6× 73 0.9× 73 1.1× 21 0.4× 67 646

Countries citing papers authored by Daniel Jeffers

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Jeffers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Jeffers

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Jeffers. A scholar is included among the top collaborators of Daniel Jeffers 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 Daniel Jeffers. Daniel Jeffers 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.
Jeffers, Daniel, et al.. (2025). Integrated approaches to maximizing maize resistance to fall armyworm. CABI Reviews. 1 indexed citations
2.
Han, Zhuqiang, Robert L. Brown, Qijian Wei, et al.. (2024). Host-Induced Gene Silencing of the Aspergillus flavus O-Methyl Transferase Gene Enhanced Maize Aflatoxin Resistance. Toxins. 17(1). 8–8. 1 indexed citations
3.
Willcox, Martha C., Juan Burgueño, Daniel Jeffers, et al.. (2022). Mining alleles for tar spot complex resistance from CIMMYT's maize Germplasm Bank. Frontiers in Sustainable Food Systems. 6. 3 indexed citations
4.
Liu, Shuangshuang, Xuwen Jiang, Jennifer Jaqueth, et al.. (2021). Identification of genetic loci associated with rough dwarf disease resistance in maize by integrating GWAS and linkage mapping. Plant Science. 315. 111100–111100. 18 indexed citations
5.
Fan, Xingming, et al.. (2018). Improving Breeding Efficiency of a Hybrid Maize Breeding Program Using a Three Heterotic‐Group Classification. Agronomy Journal. 110(4). 1209–1216. 9 indexed citations
6.
Zhang, Jun, et al.. (2018). A loop-mediated isothermal amplification (LAMP) assay for the rapid detection of toxigenic Fusarium temperatum in maize stalks and kernels. International Journal of Food Microbiology. 291. 72–78. 16 indexed citations
7.
Liu, Li, Daniel Jeffers, Yudong Zhang, et al.. (2015). Introgression of the crtRB1 gene into quality protein maize inbred lines using molecular markers. Molecular Breeding. 35(8). 154–154. 49 indexed citations
8.
Fan, Xingming, et al.. (2015). Use of the Suwan1 Heterotic Group in Maize Breeding Programs in Southwestern China. Agronomy Journal. 107(6). 2353–2362. 14 indexed citations
9.
Prasanna, B. M., B. Vivek, Daniel Jeffers, et al.. (2014). 12th Asian Maize Conference and Expert Consultation on maize for food, feed, nutrition; and environmental security; Bangkok (Thailand), 30-1 Aug-Nov 2014: extended summaries. 2 indexed citations
10.
Wangai, A. W., Margaret G. Redinbaugh, Z. M. Kinyua, et al.. (2012). First Report of Maize chlorotic mottle virus and Maize Lethal Necrosis in Kenya. Plant Disease. 96(10). 1582–1582. 135 indexed citations
11.
Jeffers, Daniel, et al.. (2005). Coat protein gene sequence of a Mexican isolate of Sugarcane mosaic virus and its infectivity in maize and sugarcane plants. Archives of Virology. 151(2). 409–412. 8 indexed citations
12.
Mezzalama, Mónica, et al.. (2004). Detection of maize bacterial wilt, Pantoea stewartii (Smith) Mergaert, Verdonck and Kersters, in the central valley of Mexico.. Revista mexicana de fitopatología(en línea)/Revista mexicana de fitopatología. 22(2). 308–314. 1 indexed citations
13.
George, M. L. C., et al.. (2003). QTL mapping for resistance to SCMV in chinese maize germplasm. Maydica. 48(4). 307–312. 34 indexed citations
14.
George, M. L. C., B. M. Prasanna, Muhammad Azrai, et al.. (2003). Identification of QTLs conferring resistance to downy mildews of maize in Asia. Theoretical and Applied Genetics. 107(3). 544–551. 49 indexed citations
15.
León, Carlos De, et al.. (2002). Acción Génica de la Resistencia al Achaparramiento del Maíz Causado por Espiroplasma, Fitoplasmas y Virus. 20(1). 13–17. 2 indexed citations
16.
Vasal, S. K., G. Srinivasan, S. Pandey, et al.. (1999). Inbred line evaluation nurseries and their role in maize breeding at CIMMYT. Maydica. 44(4). 341–351. 3 indexed citations
17.
Jeffers, Daniel, et al.. (1998). Reacción de ocho variedades de maíz al virus del rayado fino en Chapingo, México. 24(1). 11–18. 2 indexed citations
18.
DeVay, J. E., Andrew Paul Gutierrez, Gerald S. Pullman, et al.. (1997). Inoculum Densities of Fusarium oxysporum f. sp. vasinfectum and Meloidogyne incognita in Relation to the Development of Fusarium Wilt and the Phenology of Cotton Plants (Gossypium hirsutum). Phytopathology. 87(3). 341–346. 32 indexed citations
19.
Smith, Shirley N., Daniel Jeffers, & J. E. DeVay. (1994). Effect of Glucose and Biotin on the Growth and Sporulation of Fusarium Species, Especially Pathogenic and Nonpathogenic Isolates of Fusarium oxysporum. Mycologia. 86(4). 547–547. 4 indexed citations
20.
Jeffers, Daniel. (1993). Effect of Planting Date and Host Genotype on the Root-Knot Nematode-Fusarium Wilt Disease Complex of Cotton. Phytopathology. 83(6). 645–645. 18 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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