Chaya Howard

2.3k total citations · 1 hit paper
15 papers, 1.7k citations indexed

About

Chaya Howard is a scholar working on Sociology and Political Science, Plant Science and Communication. According to data from OpenAlex, Chaya Howard has authored 15 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Sociology and Political Science, 8 papers in Plant Science and 1 paper in Communication. Recurrent topics in Chaya Howard's work include Climate Change Communication and Perception (10 papers), Risk Perception and Management (10 papers) and Genetically Modified Organisms Research (7 papers). Chaya Howard is often cited by papers focused on Climate Change Communication and Perception (10 papers), Risk Perception and Management (10 papers) and Genetically Modified Organisms Research (7 papers). Chaya Howard collaborates with scholars based in United Kingdom. Chaya Howard's co-authors include Lynn J. Frewer, Richard Shepherd, Duncan Hedderley, J. Stephen Elmore, Johanna Bakker and N. Bratchell and has published in prestigious journals such as Risk Analysis, Food Quality and Preference and British Food Journal.

In The Last Decade

Chaya Howard

15 papers receiving 1.5k 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.

What Determines Trust in Information About Food‐Related Risks? Underlying Psychological Constructs

1996 485 citations Lynn J. Frewer, Chaya Howard et al. Risk Analysis profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chaya Howard United Kingdom	13	870	702	435	260	154	15	1.7k
Jesper Lassen Denmark	25	416 0.5×	711 1.0×	465 1.1×	213 0.8×	233 1.5×	62	2.0k
Mary Brennan United Kingdom	19	503 0.6×	354 0.5×	555 1.3×	176 0.7×	130 0.8×	57	1.5k
Pieter Rutsaert Belgium	23	484 0.6×	512 0.7×	498 1.1×	121 0.5×	250 1.6×	39	2.1k
Angela Bearth Switzerland	20	521 0.6×	238 0.3×	366 0.8×	177 0.7×	109 0.7×	62	1.5k
Áine Regan Ireland	25	490 0.6×	252 0.4×	360 0.8×	166 0.6×	122 0.8×	59	1.7k
Sharron Kuznesof United Kingdom	24	320 0.4×	423 0.6×	707 1.6×	536 2.1×	262 1.7×	55	2.0k
Alan Beardsworth United Kingdom	22	380 0.4×	358 0.5×	734 1.7×	295 1.1×	201 1.3×	40	2.1k
Lisa House United States	24	234 0.3×	866 1.2×	367 0.8×	276 1.1×	416 2.7×	124	2.0k
Mara Miele United Kingdom	20	358 0.4×	678 1.0×	557 1.3×	56 0.2×	123 0.8×	73	2.2k
Zuzanna Pieniak Belgium	30	569 0.7×	773 1.1×	1.4k 3.1×	674 2.6×	830 5.4×	56	3.2k

Countries citing papers authored by Chaya Howard

Since Specialization

Citations

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

Fields of papers citing papers by Chaya Howard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaya Howard

This figure shows the co-authorship network connecting the top 25 collaborators of Chaya Howard. A scholar is included among the top collaborators of Chaya 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 Chaya Howard. Chaya Howard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Frewer, Lynn J., Chaya Howard, Duncan Hedderley, & Richard Shepherd. (1999). Reactions to information about genetic engineering: impact of source characteristics, perceived personal relevance, and persuasiveness. Public Understanding of Science. 8(1). 35–50. 99 indexed citations

Frewer, Lynn J., Chaya Howard, Duncan Hedderley, & Richard Shepherd. (1998). Methodological Approaches to Assessing Risk Perceptions Associated with Food‐Related Hazards. Risk Analysis. 18(1). 95–102. 77 indexed citations

Frewer, Lynn J., Chaya Howard, & Richard Shepherd. (1998). Understanding public attitudes to technology. Journal of Risk Research. 1(3). 221–235. 143 indexed citations

Frewer, Lynn J., et al.. (1998). Consumer acceptance of transgenic crops. Pesticide Science. 52(4). 388–393. 60 indexed citations

Frewer, Lynn J., Chaya Howard, & Richard Shepherd. (1998). The influence of initial attitudes on responses to communication about genetic engineering in food production. Agriculture and Human Values. 15(1). 15–30. 97 indexed citations

Frewer, Lynn J., Chaya Howard, Duncan Hedderley, & Richard Shepherd. (1997). The Elaboration Likelihood Model and Communication About Food Risks. Risk Analysis. 17(6). 759–770. 96 indexed citations

Frewer, Lynn J., Chaya Howard, & Richard Shepherd. (1997). Public Concerns in the United Kingdom about General and Specific Applications of Genetic Engineering: Risk, Benefit, and Ethics. Science Technology & Human Values. 22(1). 98–124. 239 indexed citations

Frewer, Lynn J., Duncan Hedderley, Chaya Howard, & Richard Shepherd. (1997). ‘Objection’ mapping in determining group and individual concerns regarding genetic engineering. Agriculture and Human Values. 14(1). 67–79. 75 indexed citations

Frewer, Lynn J., Chaya Howard, Duncan Hedderley, & Richard Shepherd. (1997). Consumer attitudes towards different food-processing technologies used in cheese production—The influence of consumer benefit. Food Quality and Preference. 8(4). 271–280. 112 indexed citations

10.

Frewer, Lynn J., Chaya Howard, & Richard Shepherd. (1997). Consumer acceptance of genetically modified food. Surrey Research Insight Open Access (The University of Surrey). 5 indexed citations

11.

Frewer, Lynn J., Chaya Howard, & Richard Shepherd. (1996). The influence of realistic product exposure on attitudes towards genetic engineering of food. Food Quality and Preference. 7(1). 61–67. 105 indexed citations

12.

Frewer, Lynn J., Chaya Howard, Duncan Hedderley, & Richard Shepherd. (1996). What Determines Trust in Information About Food‐Related Risks? Underlying Psychological Constructs. Risk Analysis. 16(4). 473–486. 485 indexed citations breakdown →

13.

Frewer, Lynn J., Chaya Howard, & Richard Shepherd. (1996). Effective communication about genetic engineering and food. British Food Journal. 98(4/5). 48–52. 32 indexed citations

14.

Frewer, Lynn J., Chaya Howard, & Richard Shepherd. (1995). Genetic engineering and food: what determines consumer acceptance?. British Food Journal. 97(8). 31–36. 86 indexed citations

15.

Elmore, J. Stephen, et al.. (1994). Comparison of the aroma of a food with its gas chromatographic headspace profile using multivariate analysis. Food Quality and Preference. 5(1-2). 151–157. 2 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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