Christophe Cox

949 total citations
44 papers, 671 citations indexed

About

Christophe Cox is a scholar working on Infectious Diseases, Epidemiology and Ecology. According to data from OpenAlex, Christophe Cox has authored 44 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Infectious Diseases, 15 papers in Epidemiology and 7 papers in Ecology. Recurrent topics in Christophe Cox's work include Tuberculosis Research and Epidemiology (17 papers), Mycobacterium research and diagnosis (10 papers) and Animal Ecology and Behavior Studies (6 papers). Christophe Cox is often cited by papers focused on Tuberculosis Research and Epidemiology (17 papers), Mycobacterium research and diagnosis (10 papers) and Animal Ecology and Behavior Studies (6 papers). Christophe Cox collaborates with scholars based in United States, Tanzania and Belgium. Christophe Cox's co-authors include Alan Poling, Bart Weetjens, Negussie Beyene, Timothy L. Edwards, Amanda Mahoney, Georgies Mgode, Robert S. Machang’u, Godfrey S Mfinanga, Christiaan Mulder and Stefan H. E. Kaufmann and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Clinical Microbiology.

In The Last Decade

Christophe Cox

43 papers receiving 637 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christophe Cox United States 14 187 169 138 111 103 44 671
Bart Weetjens United States 14 152 0.8× 153 0.9× 117 0.8× 82 0.7× 90 0.9× 32 601
Jasmine M. S. Grimsley United Kingdom 16 180 1.0× 336 2.0× 50 0.4× 95 0.9× 80 0.8× 36 956
Timothy L. Edwards United States 12 91 0.5× 28 0.2× 21 0.2× 53 0.5× 53 0.5× 48 457
Amanda Mahoney United States 12 45 0.2× 72 0.4× 53 0.4× 28 0.3× 28 0.3× 39 476
P. C. Pearce United Kingdom 18 37 0.2× 64 0.4× 58 0.4× 41 0.4× 180 1.7× 53 990
Georgies Mgode Tanzania 20 107 0.6× 351 2.1× 158 1.1× 53 0.5× 106 1.0× 47 951
Lynn McLean United Kingdom 25 57 0.3× 115 0.7× 146 1.1× 329 3.0× 261 2.5× 58 1.7k
Claire Guest United Kingdom 15 355 1.9× 64 0.4× 16 0.1× 242 2.2× 145 1.4× 35 907
Federica Pirrone Italy 19 189 1.0× 19 0.1× 24 0.2× 40 0.4× 69 0.7× 56 933
Elin Nilsson Sweden 14 20 0.1× 119 0.7× 38 0.3× 28 0.3× 80 0.8× 37 576

Countries citing papers authored by Christophe Cox

Since Specialization
Citations

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

Fields of papers citing papers by Christophe Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christophe Cox

This figure shows the co-authorship network connecting the top 25 collaborators of Christophe Cox. A scholar is included among the top collaborators of Christophe Cox 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 Christophe Cox. Christophe Cox 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.
Barakabitze, Alcardo Alex, et al.. (2024). Machine Learning for Prediction of Tuberculosis Detection: Case Study of Trained African Giant Pouched Rats. SHILAP Revista de lepidopterología. 16. e50771–e50771.
2.
Webb, E. Kate, et al.. (2024). Ratting on wildlife crime: training African giant pouched rats to detect illegally trafficked wildlife. SHILAP Revista de lepidopterología. 5. 2 indexed citations
3.
Beyene, Negussie, et al.. (2023). The use of rats to detect drug-resistant TB. Public Health Action. 13(1). 1–3. 2 indexed citations
4.
Edwards, Timothy L., et al.. (2017). Animal olfactory detection of human diseases: Guidelines and systematic review. Journal of Veterinary Behavior. 20. 59–73. 57 indexed citations
5.
Fast, C.R., et al.. (2017). Mine Detecting Rats Make an Impact in Cambodia. JMU Scholoraly Commons (James Madison University). 3 indexed citations
6.
Mulder, Christiaan, Georgies Mgode, Negussie Beyene, et al.. (2017). Accuracy of giant African pouched rats for diagnosing tuberculosis: comparison with culture and Xpert ® MTB/RIF. The International Journal of Tuberculosis and Lung Disease. 21(11). 1127–1133. 11 indexed citations
7.
Poling, Alan, Amanda Mahoney, Negussie Beyene, et al.. (2015). Using giant african pouched rats to detect human tuberculosis: a review. Pan African Medical Journal. 21. 333–333. 13 indexed citations
8.
Mahoney, Amanda, et al.. (2014). Evaluating Landmine-detection Rats in Operational Conditions. JMU Scholoraly Commons (James Madison University). 1 indexed citations
9.
Mahoney, Amanda, et al.. (2014). Landmine‐detection rats: An evaluation of reinforcement procedures under simulated operational conditions. Journal of the Experimental Analysis of Behavior. 101(3). 450–456. 8 indexed citations
10.
Mgode, Georgies, Marielle Bedotto, Bart Weetjens, et al.. (2014). Mycobacterium Genotypes in Pulmonary Tuberculosis Infections and Their Detection by Trained African Giant Pouched Rats. Current Microbiology. 70(2). 212–218. 4 indexed citations
11.
Mahoney, Amanda, et al.. (2013). Reinforcement for Operational Mine Detection Rats. JMU Scholoraly Commons (James Madison University). 3 indexed citations
12.
Mahoney, Amanda, Bart Weetjens, Christophe Cox, et al.. (2011). Using giant African pouched rats to detect tuberculosis in human sputum samples: 2010 findings. SHILAP Revista de lepidopterología. 2 indexed citations
13.
Cox, Christophe, et al.. (2011). Remote Explosive Scent Tracing of Explosive Remnants of War: A Perspective from the 2010 Morogoro Workshop. JMU Scholoraly Commons (James Madison University). 1 indexed citations
14.
Mgode, Georgies, Bart Weetjens, Christophe Cox, et al.. (2011). Ability of Cricetomys rats to detect Mycobacterium tuberculosis and discriminate it from other microorganisms. Tuberculosis. 92(2). 182–186. 19 indexed citations
15.
Cox, Christophe, et al.. (2011). Using giant African pouched rats to detect tuberculosis in human sputum samples: 2010 findings. Pan African Medical Journal. 9(1). 28–28. 23 indexed citations
16.
Poling, Alan, et al.. (2011). Tuberculosis detection by giant African pouched rats. The Behavior Analyst. 34(1). 47–54. 37 indexed citations
17.
Poling, Alan, et al.. (2010). Two Strategies for Landmine Detection by Giant Pouched Rats. JMU Scholoraly Commons (James Madison University). 4 indexed citations
18.
Poling, Alan, Bart Weetjens, Christophe Cox, et al.. (2010). Using Giant African Pouched Rats to Detect Tuberculosis in Human Sputum Samples: 2009 Findings. American Journal of Tropical Medicine and Hygiene. 83(6). 1308–1310. 36 indexed citations
19.
Poling, Alan, et al.. (2010). Teaching Giant African Pouched Rats to Find Landmines: Operant Conditioning With Real Consequences. Behavior Analysis in Practice. 3(2). 19–25. 24 indexed citations
20.
Verhagen, Ron, et al.. (2006). Rats to the Rescue: Results of the First Tests on a Real Minefield. JMU Scholoraly Commons (James Madison University). 6 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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