André Trollip

1.5k total citations
28 papers, 1.1k citations indexed

About

André Trollip is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, André Trollip has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Infectious Diseases, 25 papers in Epidemiology and 8 papers in Surgery. Recurrent topics in André Trollip's work include Tuberculosis Research and Epidemiology (25 papers), Mycobacterium research and diagnosis (21 papers) and Pneumonia and Respiratory Infections (10 papers). André Trollip is often cited by papers focused on Tuberculosis Research and Epidemiology (25 papers), Mycobacterium research and diagnosis (21 papers) and Pneumonia and Respiratory Infections (10 papers). André Trollip collaborates with scholars based in South Africa, Switzerland and United States. André Trollip's co-authors include Robin M. Warren, Elizabeth M. Streicher, Nicolaas C. Gey van Pittius, Thomas C. Victor, Borna Müller, E. Hoosain, Gerrit Coetzee, Cindy Hayes, Frederick A. Sirgel and Heidi Albert and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and Journal of Clinical Microbiology.

In The Last Decade

André Trollip

28 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
André Trollip South Africa 15 911 817 319 202 98 28 1.1k
Lucía Barrera Argentina 18 1.3k 1.4× 1.1k 1.3× 494 1.5× 190 0.9× 80 0.8× 31 1.5k
Fengmin Huo China 19 908 1.0× 697 0.9× 434 1.4× 224 1.1× 82 0.8× 59 1.2k
N Martín-Casabona Spain 18 1.0k 1.2× 1.1k 1.4× 441 1.4× 145 0.7× 62 0.6× 26 1.4k
F Boulahbal Algeria 11 1.1k 1.2× 874 1.1× 463 1.5× 177 0.9× 69 0.7× 30 1.2k
Jurriaan E.M. de Steenwinkel Netherlands 18 610 0.7× 493 0.6× 151 0.5× 250 1.2× 150 1.5× 49 959
Guanglu Jiang China 20 1.2k 1.3× 1.0k 1.3× 593 1.9× 181 0.9× 78 0.8× 66 1.4k
Yuanyuan Shang China 18 752 0.8× 634 0.8× 374 1.2× 176 0.9× 60 0.6× 75 944
Yu Pang China 21 997 1.1× 896 1.1× 371 1.2× 134 0.7× 98 1.0× 60 1.2k
Chris Gilpin Australia 6 645 0.7× 517 0.6× 271 0.8× 127 0.6× 44 0.4× 9 796
Haiqing Chu China 20 476 0.5× 577 0.7× 74 0.2× 166 0.8× 118 1.2× 74 1.1k

Countries citing papers authored by André Trollip

Since Specialization
Citations

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

Fields of papers citing papers by André Trollip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of André Trollip

This figure shows the co-authorship network connecting the top 25 collaborators of André Trollip. A scholar is included among the top collaborators of André Trollip 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 André Trollip. André Trollip 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
2.
Trollip, André, Renuka Gadde, Linda Oskam, et al.. (2022). Implementation of a customised antimicrobial resistance laboratory scorecard in Cameroon, Ethiopia and Kenya. African Journal of Laboratory Medicine. 11(1). 1476–1476. 3 indexed citations
3.
Vos, Margaretha de, Lesley Scott, Anura David, et al.. (2020). Comparative Analytical Evaluation of Four Centralized Platforms for the Detection of Mycobacterium tuberculosis Complex and Resistance to Rifampicin and Isoniazid. Journal of Clinical Microbiology. 59(3). 19 indexed citations
5.
Broger, Tobias, Bianca Sossen, Elloise du Toit, et al.. (2019). Novel lipoarabinomannan point-of-care tuberculosis test for people with HIV: a diagnostic accuracy study. The Lancet Infectious Diseases. 19(8). 852–861. 125 indexed citations
6.
Groessl, Erik J., Théodore G. Ganiats, André Trollip, et al.. (2018). Cost analysis of rapid diagnostics for drug-resistant tuberculosis. BMC Infectious Diseases. 18(1). 102–102. 11 indexed citations
7.
Albert, Heidi, et al.. (2017). Developing a customised approach for strengthening tuberculosis laboratory quality management systems toward accreditation. African Journal of Laboratory Medicine. 6(2). 576–576. 4 indexed citations
8.
Garfein, Richard S., Donald G. Catanzaro, Timothy C. Rodwell, et al.. (2015). Phenotypic and genotypic diversity in a multinational sample of drug-resistant <I>Mycobacterium tuberculosis</I> isolates. The International Journal of Tuberculosis and Lung Disease. 19(4). 420–427. 10 indexed citations
9.
Catanzaro, Antonino, Timothy C. Rodwell, Donald G. Catanzaro, et al.. (2015). Performance Comparison of Three Rapid Tests for the Diagnosis of Drug-Resistant Tuberculosis. PLoS ONE. 10(8). e0136861–e0136861. 36 indexed citations
11.
Müller, Borna, Violet Chihota, Manormoney Pillay, et al.. (2013). Programmatically Selected Multidrug-Resistant Strains Drive the Emergence of Extensively Drug-Resistant Tuberculosis in South Africa. PLoS ONE. 8(8). e70919–e70919. 41 indexed citations
12.
Klopper, Marisa, Robin M. Warren, Cindy Hayes, et al.. (2013). Emergence and Spread of Extensively and Totally Drug-Resistant Tuberculosis, South Africa. Emerging infectious diseases. 19(3). 449–455. 173 indexed citations
13.
Sirgel, Frederick A., Robin M. Warren, Elizabeth M. Streicher, et al.. (2011). Mutations in the rrs A1401G Gene and Phenotypic Resistance to Amikacin and Capreomycin in Mycobacterium tuberculosis. Microbial Drug Resistance. 18(2). 193–197. 56 indexed citations
14.
Streicher, Elizabeth M., Borna Müller, Violet Chihota, et al.. (2011). Emergence and treatment of multidrug resistant (MDR) and extensively drug-resistant (XDR) tuberculosis in South Africa. Infection Genetics and Evolution. 12(4). 686–694. 62 indexed citations
15.
Trollip, André, et al.. (2009). Performance of FASTPlaqueTB and a modified protocol in a high HIV prevalence community in South Africa.. PubMed. 13(6). 791–3. 2 indexed citations
16.
Strauß, Olaf, Robin M. Warren, A. Jordaan, et al.. (2008). Spread of a Low-Fitness Drug-Resistant Mycobacterium tuberculosis Strain in a Setting of High Human Immunodeficiency Virus Prevalence. Journal of Clinical Microbiology. 46(4). 1514–1516. 50 indexed citations
17.
Albert, Heidi, et al.. (2007). Development of an antimicrobial formulation for control of specimen-related contamination in phage-based diagnostic testing for tuberculosis. Journal of Applied Microbiology. 103(4). 892–899. 8 indexed citations
18.
Albert, Heidi, et al.. (2007). Evaluation of a rapid screening test for rifampicin resistance in re-treatment tuberculosis patients in the Eastern Cape.. PubMed. 97(9). 858–63. 12 indexed citations
19.
Albert, Heidi, et al.. (2004). Simple, phage-based (FASTPplaque) technology to determine rifampicin resistance of Mycobacterium tuberculosis directly from sputum.. PubMed. 8(9). 1114–9. 44 indexed citations
20.
Bishop, Karen, et al.. (2001). Characterisation of the pncA gene in Mycobacterium tuberculosis isolates from Gauteng, South Africa.. PubMed. 5(10). 952–7. 30 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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