Julie A. Howard

2.0k total citations
30 papers, 993 citations indexed

About

Julie A. Howard is a scholar working on Molecular Biology, General Agricultural and Biological Sciences and Oncology. According to data from OpenAlex, Julie A. Howard has authored 30 papers receiving a total of 993 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in General Agricultural and Biological Sciences and 4 papers in Oncology. Recurrent topics in Julie A. Howard's work include Agricultural Innovations and Practices (5 papers), Drug Transport and Resistance Mechanisms (3 papers) and Toxoplasma gondii Research Studies (3 papers). Julie A. Howard is often cited by papers focused on Agricultural Innovations and Practices (5 papers), Drug Transport and Resistance Mechanisms (3 papers) and Toxoplasma gondii Research Studies (3 papers). Julie A. Howard collaborates with scholars based in United Kingdom, United States and Germany. Julie A. Howard's co-authors include Michael J. Deery, Jim Bingen, Valerie A. Kelly, Eric W. Crawford, Marlene Oscar‐Berman, T. S. Jayne, Kathryn S. Lilley, Francisco Corzana, Marı́a Maneiro and Pedro M. S. D. Cal and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Julie A. Howard

25 papers receiving 920 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julie A. Howard United Kingdom 16 339 193 172 135 99 30 993
Kevin Chen United States 19 376 1.1× 175 0.9× 6 0.0× 100 0.7× 31 0.3× 46 1.6k
Lars Jørgensen Denmark 16 296 0.9× 8 0.0× 37 0.2× 18 0.1× 13 0.1× 26 738
Thomas C. Wilson United States 20 254 0.7× 6 0.0× 253 1.5× 179 1.3× 186 1.9× 46 1.4k
Yueju Wang China 30 1.4k 4.1× 8 0.0× 13 0.1× 99 0.7× 35 0.4× 65 2.3k
Glauco Schultz Brazil 21 1.3k 3.7× 20 0.1× 35 0.2× 72 0.5× 61 0.6× 91 1.9k
Jessica M. Ellis United States 27 1.6k 4.6× 9 0.0× 39 0.2× 96 0.7× 27 0.3× 62 2.8k
Kyungmi Kim South Korea 21 350 1.0× 51 0.3× 14 0.1× 13 0.1× 4 0.0× 87 1.4k
Haijun Xiao China 25 619 1.8× 13 0.1× 42 0.2× 146 1.1× 4 0.0× 87 1.7k
Michael E. Bradley United States 23 1.8k 5.3× 26 0.1× 69 0.4× 34 0.3× 7 0.1× 50 2.4k
Cynthia Anderson United States 14 153 0.5× 17 0.1× 5 0.0× 114 0.8× 45 0.5× 39 613

Countries citing papers authored by Julie A. Howard

Since Specialization
Citations

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

Fields of papers citing papers by Julie A. Howard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julie A. Howard. 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 Julie A. Howard. The network helps show where Julie A. Howard may publish in the future.

Co-authorship network of co-authors of Julie A. Howard

This figure shows the co-authorship network connecting the top 25 collaborators of Julie A. Howard. A scholar is included among the top collaborators of Julie A. Howard 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 Julie A. Howard. Julie A. Howard 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.
Chung, Betty, Adrián Vallí, Michael J. Deery, et al.. (2019). Distinct roles of Argonaute in the green alga Chlamydomonas reveal evolutionary conserved mode of miRNA-mediated gene expression. Scientific Reports. 9(1). 11091–11091. 13 indexed citations
2.
Lloyd‐Lewis, Bethan, Timothy J. Sargeant, Michael E. D’Angelo, et al.. (2018). Stat3-mediated alterations in lysosomal membrane protein composition. Journal of Biological Chemistry. 293(12). 4244–4261. 25 indexed citations
3.
Matos, María João, Bruno L. Oliveira, Nuria Martínez‐Sáez, et al.. (2018). Chemo- and Regioselective Lysine Modification on Native Proteins. Journal of the American Chemical Society. 140(11). 4004–4017. 242 indexed citations
4.
Weckmann, Katja, Michael J. Deery, Julie A. Howard, et al.. (2018). Ketamine’s Effects on the Glutamatergic and GABAergic Systems: A Proteomics and Metabolomics Study in Mice. PubMed. 5(1). 42–51. 26 indexed citations
5.
Chung, Betty, Michael J. Deery, Arnoud Groen, Julie A. Howard, & David C. Baulcombe. (2017). Endogenous miRNA in the green alga Chlamydomonas regulates gene expression through CDS-targeting. Nature Plants. 3(10). 787–794. 33 indexed citations
6.
James, Rory Hennell, Eva Caceres, Julie A. Howard, et al.. (2017). Functional reconstruction of a eukaryotic-like E1/E2/(RING) E3 ubiquitylation cascade from an uncultured archaeon. Nature Communications. 8(1). 1120–1120. 22 indexed citations
7.
Weckmann, Katja, Michael J. Deery, Julie A. Howard, et al.. (2017). Ketamine’s antidepressant effect is mediated by energy metabolism and antioxidant defense system. Scientific Reports. 7(1). 15788–15788. 70 indexed citations
8.
Velamakanni, Saroj, et al.. (2016). ATP-dependent substrate transport by the ABC transporter MsbA is proton-coupled. Nature Communications. 7(1). 12387–12387. 42 indexed citations
9.
Anjum, Rana, Sian Bray, John K. Blackwood, et al.. (2015). Involvement of a eukaryotic-like ubiquitin-related modifier in the proteasome pathway of the archaeon Sulfolobus acidocaldarius. Nature Communications. 6(1). 8163–8163. 29 indexed citations
10.
Amess, Bob, Daniel Martins‐de‐Souza, Paul C. Guest, et al.. (2013). Identification of Protein Biomarkers in Human Serum Using iTRAQ and Shotgun Mass Spectrometry. Methods in molecular biology. 1061. 291–307. 6 indexed citations
11.
Marinković, Ksenija, Marlene Oscar‐Berman, Trinity Urban, et al.. (2009). Alcoholism and Dampened Temporal Limbic Activation to Emotional Faces. Alcoholism Clinical and Experimental Research. 33(11). 1880–1892. 99 indexed citations
12.
Allen, Michael J., Julie A. Howard, Kathryn S. Lilley, & William H. Wilson. (2008). Proteomic analysis of the EhV-86 virion. Proteome Science. 6(1). 11–11. 28 indexed citations
13.
14.
Crawford, Eric W., Valerie A. Kelly, T. S. Jayne, & Julie A. Howard. (2003). Input use and market development in Sub-Saharan Africa: an overview. Food Policy. 28(4). 277–292. 82 indexed citations
15.
Bingen, Jim, et al.. (2003). Linking farmers to markets: different approaches to human capital development. Food Policy. 28(4). 405–419. 112 indexed citations
16.
Howard, Julie A., et al.. (2000). Comparing Yields and Profitability in MARD's High- and Low-Input Maize Programs 1997/98 Survey Results and Analysis. AgEcon Search (University of Minnesota, USA). 1 indexed citations
17.
18.
Reardon, Thomas, et al.. (1998). Developing Cereal-Based Demand for Fertilizer among Smallholders in Southern Africa: Lessons Learned and Implications for Other African Regions. RePEc: Research Papers in Economics. 4 indexed citations
19.
Maredia, Mywish K. & Julie A. Howard. (1998). Facilitating Seed Sector Transformation in Africa: Key Findings from the Literature. RePEc: Research Papers in Economics.
20.

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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