Jamie Crawford

752 total citations
21 papers, 560 citations indexed

About

Jamie Crawford is a scholar working on Plant Science, Agronomy and Crop Science and Mechanics of Materials. According to data from OpenAlex, Jamie Crawford has authored 21 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 5 papers in Agronomy and Crop Science and 4 papers in Mechanics of Materials. Recurrent topics in Jamie Crawford's work include Bioenergy crop production and management (5 papers), Plant Parasitism and Resistance (4 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). Jamie Crawford is often cited by papers focused on Bioenergy crop production and management (5 papers), Plant Parasitism and Resistance (4 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). Jamie Crawford collaborates with scholars based in United States, Canada and South Korea. Jamie Crawford's co-authors include D. R. Viands, Julie Hansen, Lawrence B. Smart, Glenn Philippe, Joseph Gannon, D. K. Bell, George M. Stack, Elena Rabkin, Lori Lopresti‐Morrow and Peter Libby and has published in prestigious journals such as Circulation, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Jamie Crawford

18 papers receiving 533 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jamie Crawford United States 10 308 140 139 107 63 21 560
Jianhua Huang China 14 289 0.9× 60 0.4× 289 2.1× 13 0.1× 36 0.6× 45 633
Xiaomin Wei China 11 176 0.6× 21 0.1× 230 1.7× 39 0.4× 96 1.5× 36 441
Qin Han China 11 251 0.8× 36 0.3× 208 1.5× 15 0.1× 50 0.8× 26 497
Lian Zhou China 17 422 1.4× 13 0.1× 316 2.3× 36 0.3× 102 1.6× 38 737
Witold Nowak Poland 14 273 0.9× 53 0.4× 186 1.3× 16 0.1× 28 0.4× 40 595
Yvon Cavaloc France 15 268 0.9× 35 0.3× 501 3.6× 68 0.6× 32 0.5× 22 791
Fan Feng China 17 241 0.8× 7 0.1× 364 2.6× 100 0.9× 57 0.9× 44 944
Jianjun Guo China 15 792 2.6× 23 0.2× 707 5.1× 12 0.1× 60 1.0× 23 1.1k
Dan Yao China 11 215 0.7× 22 0.2× 235 1.7× 17 0.2× 28 0.4× 30 471
Hongyi Chen China 12 409 1.3× 64 0.5× 474 3.4× 22 0.2× 193 3.1× 28 891

Countries citing papers authored by Jamie Crawford

Since Specialization
Citations

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

Fields of papers citing papers by Jamie Crawford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamie Crawford

This figure shows the co-authorship network connecting the top 25 collaborators of Jamie Crawford. A scholar is included among the top collaborators of Jamie Crawford 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 Jamie Crawford. Jamie Crawford 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.
Medina, Cesar Augusto, Julie Hansen, Jamie Crawford, et al.. (2025). Genome-Wide Association and Genomic Prediction of Alfalfa (Medicago sativa L.) Biomass Yield Under Drought Stress. International Journal of Molecular Sciences. 26(2). 608–608. 4 indexed citations
2.
Medina, Cesar Augusto, Dongyan Zhao, Meng Lin, et al.. (2025). Pre-breeding in alfalfa germplasm develops highly differentiated populations, as revealed by genome-wide microhaplotype markers. Scientific Reports. 15(1). 1253–1253. 2 indexed citations
3.
Kucek, Lisa Kissing, Chris Reberg‐Horton, Matthew R. Ryan, et al.. (2024). Seed size has a major impact on fall seedling vigor in the cover crop hairy vetch ( Vicia villosa Roth). Crop Science. 65(1). 1 indexed citations
4.
Stack, George M., Craig H. Carlson, Jacob A. Toth, et al.. (2023). Correlations among morphological and biochemical traits in high‐cannabidiol hemp (Cannabis sativa L.). Plant Direct. 7(6). e503–e503. 11 indexed citations
5.
Stack, George M., Jacob A. Toth, Jamie Crawford, et al.. (2023). Cannabinoids function in defense against chewing herbivores in Cannabis sativa L.. Horticulture Research. 10(11). uhad207–uhad207. 14 indexed citations
6.
7.
Myers, Kevin, Gary C. Bergstrom, Jamie Crawford, et al.. (2022). First Report of Downy Mildew Caused by Pseudoperonospora cannabina on Cannabis sativa in New York. Plant Disease. 107(5). 1638–1638.
8.
Hoover, Amber N., Rachel Emerson, Vance N. Owens, et al.. (2022). Key environmental and production factors for understanding variation in switchgrass chemical attributes. GCB Bioenergy. 14(7). 776–792. 5 indexed citations
9.
Stack, George M., Jacob A. Toth, Craig H. Carlson, et al.. (2021). Season‐long characterization of high‐cannabinoid hemp (Cannabis sativa L.) reveals variation in cannabinoid accumulation, flowering time, and disease resistance. GCB Bioenergy. 13(4). 546–561. 68 indexed citations
10.
Barnett, Samuel E., Julie Hansen, Jamie Crawford, et al.. (2020). Evaluating the Microbiome of Hemp. Phytobiomes Journal. 4(4). 351–363. 19 indexed citations
11.
Toth, Jacob A., George M. Stack, Craig H. Carlson, et al.. (2020). Development and validation of genetic markers for sex and cannabinoid chemotype in Cannabis sativa L.. GCB Bioenergy. 12(3). 213–222. 84 indexed citations
12.
Crawford, Jamie, et al.. (2019). Recurrent phenotypic selection for resistance to diseases caused by Bipolaris oryzae in switchgrass (Panicum virgatum L.). Biomass and Bioenergy. 125. 105–113. 5 indexed citations
13.
Kumar, Pardeep, Liming Lai, Martín Leonardo Battaglia, et al.. (2019). Impacts of nitrogen fertilization rate and landscape position on select soil properties in switchgrass field at four sites in the USA. CATENA. 180. 183–193. 44 indexed citations
14.
Li, Xuehui, Yanling Wei, Ananta Acharya, et al.. (2015). Genomic Prediction of Biomass Yield in Two Selection Cycles of a Tetraploid Alfalfa Breeding Population. The Plant Genome. 8(2). eplantgenome2014.12.0090–eplantgenome2014.12.0090. 82 indexed citations
15.
Viands, D. R., Julie Hansen, & Jamie Crawford. (2012). Registration of ‘Ezra’ Alfalfa. Journal of Plant Registrations. 6(3). 225–228. 3 indexed citations
16.
Hansen, Julie, Nancy Ehlke, Y. A. Papadopoulos, et al.. (2011). Improving Birdsfoot Trefoil for Resistance to Fusarium Wilt. Crop Science. 51(2). 585–591. 1 indexed citations
17.
Lindsey, Merry L., Joseph Gannon, Masanori Aikawa, et al.. (2002). Selective Matrix Metalloproteinase Inhibition Reduces Left Ventricular Remodeling but Does Not Inhibit Angiogenesis After Myocardial Infarction. Circulation. 105(6). 753–758. 166 indexed citations
18.
Crawford, Jamie, et al.. (1976). Nematode Survey of Peanuts and Cotton in Southwest Georgia. Peanut Science. 3(2). 72–74. 20 indexed citations
19.
Roncadori, R. W., et al.. (1970). Microorganisms associated with Cotton boll rots in Georgia.. ˜The œPlant disease reporter. 54(7). 586–590. 1 indexed citations
20.
Bell, D. K. & Jamie Crawford. (1967). A botran-amended medium for isolating Aspergillus flavus from peanuts and soil.. PubMed. 57(9). 939–41. 30 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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2026