Lisa House

2.8k total citations
124 papers, 2.0k citations indexed

About

Lisa House is a scholar working on Plant Science, Economics and Econometrics and Marketing. According to data from OpenAlex, Lisa House has authored 124 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Plant Science, 42 papers in Economics and Econometrics and 30 papers in Marketing. Recurrent topics in Lisa House's work include Organic Food and Agriculture (39 papers), Economic and Environmental Valuation (30 papers) and Genetically Modified Organisms Research (18 papers). Lisa House is often cited by papers focused on Organic Food and Agriculture (39 papers), Economic and Environmental Valuation (30 papers) and Genetically Modified Organisms Research (18 papers). Lisa House collaborates with scholars based in United States, United Kingdom and New Zealand. Lisa House's co-authors include Zhifeng Gao, Karla P. Shelnutt, Anne Mathews, Jayson L. Lusk, Melissa Moore, Xiang Bi, Aseel El Zein, Carlotta Valli, Sara R. Jaeger and Michael S. Jones and has published in prestigious journals such as SHILAP Revista de lepidopterología, The FASEB Journal and Ecological Economics.

In The Last Decade

Lisa House

115 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lisa House United States	24	866	497	416	367	284	124	2.0k
Miguel I. Gómez United States	32	1000 1.2×	531 1.1×	660 1.6×	590 1.6×	279 1.0×	166	3.6k
Jane Kolodinsky United States	29	703 0.8×	276 0.6×	432 1.0×	371 1.0×	455 1.6×	154	2.7k
W. Bruce Traill United Kingdom	28	998 1.2×	491 1.0×	594 1.4×	749 2.0×	222 0.8×	79	3.3k
Helen H. Jensen United States	32	640 0.7×	655 1.3×	246 0.6×	504 1.4×	691 2.4×	173	3.1k
William K. Hallman United States	29	819 0.9×	141 0.3×	353 0.8×	358 1.0×	279 1.0×	120	2.6k
Mario Mazzocchi Italy	25	359 0.4×	548 1.1×	342 0.8×	561 1.5×	324 1.1×	90	2.8k
Ellen Goddard Canada	22	493 0.6×	543 1.1×	429 1.0×	530 1.4×	74 0.3×	113	1.8k
Norbert Wilson United States	20	342 0.4×	223 0.4×	181 0.4×	393 1.1×	183 0.6×	78	1.3k
Tim Lang United Kingdom	27	756 0.9×	108 0.2×	285 0.7×	504 1.4×	433 1.5×	73	2.5k
Lydia Zepeda United States	29	1.4k 1.6×	428 0.9×	916 2.2×	766 2.1×	146 0.5×	65	2.8k

Countries citing papers authored by Lisa House

Since Specialization

Citations

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

Fields of papers citing papers by Lisa House

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa House

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

All Works

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20 of 20 papers shown

House, Lisa, et al.. (2025). Bringing lapsed consumers back to the market might not be as simple as reversing why they left: the case of generic food. Journal of Marketing Analytics. 1 indexed citations

House, Lisa, et al.. (2024). Is environmental consciousness associated with organic food consumption?: A revealed preference approach. 3(2). 396–409. 1 indexed citations

Chen, Xuqi, et al.. (2024). Do color-coded Nutrition Facts Panels nudge the use of nutrition information?. Food Policy. 129. 102730–102730. 2 indexed citations

Kassas, Bachir, et al.. (2023). Investigating consumer stated preferences for orange juice: The influence of behavioral traits. 3(1). 5–24. 4 indexed citations

Johns, Tracy, et al.. (2023). Evaluate the Impact of a Healthy Meal Kit Intervention on Food Security and Fruit and Vegetable Intake at Post and Follow-up. Journal of Nutrition Education and Behavior. 55(7). 17–18.

Trejo‐Pech, Carlos Omar, et al.. (2023). Globalization in the Wine Industry and the Case of Baja California Mexico in 2010. SSRN Electronic Journal.

House, Lisa, et al.. (2023). Does Preferred Information Format Affect Consumers’ Willingness to Pay: A Case Study of Orange Juice Produced by Biotechnology. Foods. 12(11). 2130–2130. 1 indexed citations

Shelnutt, Karla P., et al.. (2022). Differences in Measured and Self-Categorized Food Security Status and Related Coping Strategies among College Students. Nutrients. 14(17). 3569–3569. 8 indexed citations

Heng, Yan, et al.. (2020). Orange Juice Consumers Response to the Covid-19 Outbreak. SHILAP Revista de lepidopterología. 2020(4). 4–4. 5 indexed citations

10.

McFadden, Brandon R., et al.. (2020). Can the updated nutrition facts label decrease sugar-sweetened beverage consumption?. Economics & Human Biology. 37. 100867–100867. 22 indexed citations

11.

House, Lisa, et al.. (2018). A Doggone Way to Reduce Stress: An Animal Assisted Intervention with College Students. College student journal. 52(2). 199–204. 13 indexed citations

12.

Bi, Xiang, et al.. (2016). Identifying the Attitudes and Preferences of Parents and Children for Seafood: Summary of Focus Group Results. SHILAP Revista de lepidopterología. 2016(5). 3–3. 1 indexed citations

13.

Kim, Hyeyoung, Lisa House, & Matthew Salois. (2015). Consumer response to media information: the case of grapefruit-medicine interaction. Health Economics Review. 5(1). 33–33. 5 indexed citations

14.

Xie, Jing, et al.. (2013). Valuing Information on GM Foods in the presence of Country-of-Origin Labels. International journal on food system dynamics. 4(3). 170–183. 5 indexed citations

15.

Drichoutis, Andreas C., et al.. (2011). Examining Projection Bias in Experimental Auctions: The Role of Hunger and Immediate Gratification. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 2 indexed citations

16.

House, Lisa, et al.. (2011). Consumer WTP for Blueberry Attributes: A Hierarchical Bayesian Approach in the WTP Space. RePEc: Research Papers in Economics. 3 indexed citations

17.

House, Lisa, Heather F. Russell, Erin Hayes Kelly, Arlene C. Gerson, & Lawrence C. Vogel. (2009). Rehabilitation and future participation of youth following spinal cord injury: caregiver perspectives. Spinal Cord. 47(12). 882–886. 25 indexed citations

18.

Lusk, Jayson L., W. Bruce Traill, Lisa House, et al.. (2006). Comparative Advantage in Demand: Experimental Evidence of Preferences for Genetically Modified Food in the United States and European Union. Journal of Agricultural Economics. 57(1). 1–21. 50 indexed citations

19.

Mabiso, Athur, James A. Sterns, Lisa House, & Allen F. Wysocki. (2005). Estimating Consumers' Willingness-To-Pay for Country-Of-Origin Labels in Fresh Apples and Tomatoes: A Double-Hurdle Probit Analysis of American Data Using Factor Scores. RePEc: Research Papers in Economics. 5 indexed citations

20.

Harrison, R. Wes, Stefano Boccaletti, & Lisa House. (2004). Risk Perceptions of Urban Italian and United States Consumers for Genetically Modified Foods. MOspace Institutional Repository (University of Missouri). 38 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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