Martin Binks

1.8k total citations
47 papers, 1.3k citations indexed

About

Martin Binks is a scholar working on Clinical Psychology, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, Martin Binks has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Clinical Psychology, 14 papers in Public Health, Environmental and Occupational Health and 10 papers in Physiology. Recurrent topics in Martin Binks's work include Eating Disorders and Behaviors (16 papers), Obesity, Physical Activity, Diet (10 papers) and Obesity and Health Practices (7 papers). Martin Binks is often cited by papers focused on Eating Disorders and Behaviors (16 papers), Obesity, Physical Activity, Diet (10 papers) and Obesity and Health Practices (7 papers). Martin Binks collaborates with scholars based in United States, Sri Lanka and United Kingdom. Martin Binks's co-authors include Shao-Hua Chin, Chanaka Kahathuduwa, Ronette L. Kolotkin, Truls Østbye, Ross D. Crosby, Giyoo Hatano, Ted D. Adams, Richard E. Gress, Ayako Suzuki and Trevor van Mierlo and has published in prestigious journals such as SHILAP Revista de lepidopterología, The FASEB Journal and Journal of Abnormal Psychology.

In The Last Decade

Martin Binks

44 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Binks United States 19 397 266 247 218 194 47 1.3k
Hans‐Christian Deter Germany 26 927 2.3× 195 0.7× 261 1.1× 384 1.8× 166 0.9× 115 2.4k
Barbara S. McCann United States 27 503 1.3× 412 1.5× 472 1.9× 334 1.5× 135 0.7× 90 2.2k
Stanley Sai‐chuen Hui Hong Kong 26 215 0.5× 470 1.8× 515 2.1× 194 0.9× 124 0.6× 92 1.9k
Wi-Young So South Korea 22 218 0.5× 580 2.2× 380 1.5× 119 0.5× 130 0.7× 204 2.1k
Chiara Milanese Italy 23 339 0.9× 510 1.9× 262 1.1× 187 0.9× 67 0.3× 104 1.8k
Kate L. Pumpa Australia 23 257 0.6× 813 3.1× 348 1.4× 381 1.7× 88 0.5× 75 2.7k
Carlton Cooke United Kingdom 38 178 0.4× 821 3.1× 786 3.2× 131 0.6× 164 0.8× 159 4.3k
Michael J Strube United States 11 225 0.6× 179 0.7× 466 1.9× 76 0.3× 81 0.4× 13 1.5k
Panagiota Klentrou Canada 29 169 0.4× 728 2.7× 446 1.8× 273 1.3× 146 0.8× 141 3.1k
Bridget Armstrong United States 20 240 0.6× 174 0.7× 448 1.8× 122 0.6× 43 0.2× 94 1.3k

Countries citing papers authored by Martin Binks

Since Specialization
Citations

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

Fields of papers citing papers by Martin Binks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Binks

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Binks. A scholar is included among the top collaborators of Martin Binks 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 Martin Binks. Martin Binks 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.
Quarles, W.R. & Martin Binks. (2025). The development and testing of the TTU food cue reactivity image bank. International Journal of Obesity. 49(10). 2019–2025.
2.
Binks, Martin, et al.. (2023). Printability, texture, and sensory trade-offs for 3D printed potato with added proteins and lipids. Journal of Food Engineering. 351. 111517–111517. 27 indexed citations
3.
Hartmann, Christina, et al.. (2021). Consumer Assessment of 3D-Printed Food Shape, Taste, and Fidelity Using Chocolate and Marzipan Materials. 3D Printing and Additive Manufacturing. 9(6). 473–482. 26 indexed citations
4.
Chin, Shao-Hua, et al.. (2019). Obesity and pain: a systematic review. International Journal of Obesity. 44(5). 969–979. 87 indexed citations
5.
Kahathuduwa, Chanaka, Tyler Davis, Michael W. O’Boyle, & Martin Binks. (2018). Do scores on the Food Craving Inventory and Three-Factor Eating Questionnaire correlate with expected brain regions of interest in people with obesity?. Physiology & Behavior. 188. 1–10. 11 indexed citations
6.
Binks, Martin, et al.. (2017). What are the challenges in developing effective health policies for obesity?. International Journal of Obesity. 41(6). 849–852. 4 indexed citations
7.
Kahathuduwa, Chanaka, Chathurika S. Dhanasekara, Shao-Hua Chin, et al.. (2017). l -Theanine and caffeine improve target-specific attention to visual stimuli by decreasing mind wandering: a human functional magnetic resonance imaging study. Nutrition Research. 49. 67–78. 23 indexed citations
8.
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10.
Kahathuduwa, Chanaka, et al.. (2016). Brain regions involved in ingestive behavior and related psychological constructs in people undergoing calorie restriction. Appetite. 107. 348–361. 21 indexed citations
11.
Binks, Martin, Trevor van Mierlo, & Christopher L. Edwards. (2012). Relationships of the Psychological Influence of Food and Barriers to Lifestyle Change to Weight and Utilization of Online Weight Loss Tools. PubMed. 6(1). 9–14. 2 indexed citations
12.
Østbye, Truls, Ronette L. Kolotkin, Francine Overcash, et al.. (2011). Sexual Functioning in Obese Adults Enrolling in a Weight Loss Study. Journal of Sex & Marital Therapy. 37(3). 224–235. 14 indexed citations
13.
Wachholtz, Amy, et al.. (2010). Does Pain Predict Interference With Daily Functioning and Weight Loss in an Obese Residential Treatment-Seeking Population?. International Journal of Behavioral Medicine. 17(2). 118–124. 18 indexed citations
14.
Binks, Martin & Trevor van Mierlo. (2010). Utilization Patterns and User Characteristics of an Ad Libitum Internet Weight Loss Program. Journal of Medical Internet Research. 12(1). e9–e9. 42 indexed citations
15.
Lundgren, Jennifer D., et al.. (2008). Remission of metabolic syndrome following a 15-week low-calorie lifestyle change program for weight loss. International Journal of Obesity. 33(1). 144–150. 25 indexed citations
16.
Martin, Corby K., Patrick M. O’Neil, & Martin Binks. (2002). An attempt to identify predictors of treatment outcome in two comprehensive weight loss programs. Eating Behaviors. 3(3). 239–248. 13 indexed citations
17.
Binks, Martin & Patrick M. O’Neil. (2002). Referral sources to a weight management program. Journal of General Internal Medicine. 17(8). 596–603. 17 indexed citations
18.
Howard, Louise, Martin Binks, A. P. Moore, & Jeremy Playfer. (2000). The Contribution of Apraxic Speech to Working Memory Deficits in Parkinson's Disease. Brain and Language. 74(2). 269–288. 13 indexed citations
19.
Radnitz, Cynthia L., et al.. (1998). A comparison of posttraumatic stress disorder in veterans with and without spinal cord injury.. Journal of Abnormal Psychology. 107(4). 676–680. 27 indexed citations
20.
Radnitz, Cynthia L., et al.. (1998). Posttraumatic stress disorder in veterans with spinal cord injury: Trauma‐related risk factors. Journal of Traumatic Stress. 11(3). 505–520. 52 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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