Chris Gilpin

1.7k total citations
9 papers, 796 citations indexed

About

Chris Gilpin is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Chris Gilpin has authored 9 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 8 papers in Epidemiology and 5 papers in Surgery. Recurrent topics in Chris Gilpin's work include Tuberculosis Research and Epidemiology (8 papers), Mycobacterium research and diagnosis (5 papers) and Diagnosis and treatment of tuberculosis (4 papers). Chris Gilpin is often cited by papers focused on Tuberculosis Research and Epidemiology (8 papers), Mycobacterium research and diagnosis (5 papers) and Diagnosis and treatment of tuberculosis (4 papers). Chris Gilpin collaborates with scholars based in Australia, Switzerland and Pakistan. Chris Gilpin's co-authors include Richard Lumb, Daniela María Cirillo, Karin Weyer, A Wright, Francis Drobniewski, F Boulahbal, Lucía Barrera, Marta Havelková, R Lepe and Sabine Rüsch–Gerdes and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Clinical Microbiology and The Journal of Infectious Diseases.

In The Last Decade

Chris Gilpin

9 papers receiving 752 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Gilpin Australia 6 645 517 271 127 44 9 796
Charoen Chuchottaworn Thailand 12 697 1.1× 609 1.2× 276 1.0× 140 1.1× 29 0.7× 34 877
Sundari Mase United States 17 982 1.5× 751 1.5× 437 1.6× 110 0.9× 30 0.7× 41 1.1k
Giorgio Besozzi Italy 17 785 1.2× 612 1.2× 316 1.2× 179 1.4× 42 1.0× 43 971
M. Vjecha United States 11 776 1.2× 590 1.1× 293 1.1× 145 1.1× 26 0.6× 13 940
Jan Heyckendorf Germany 19 887 1.4× 703 1.4× 350 1.3× 195 1.5× 39 0.9× 55 1.1k
Griselda Tudó Spain 18 481 0.7× 504 1.0× 199 0.7× 146 1.1× 55 1.3× 42 653
André Trollip South Africa 15 911 1.4× 817 1.6× 319 1.2× 202 1.6× 98 2.2× 28 1.1k
Dumitru Chesov Germany 11 515 0.8× 366 0.7× 164 0.6× 137 1.1× 37 0.8× 31 646
Gunar Günther Namibia 14 438 0.7× 401 0.8× 124 0.5× 123 1.0× 34 0.8× 51 710
Sabira Tahseen Pakistan 15 548 0.8× 452 0.9× 217 0.8× 116 0.9× 42 1.0× 42 663

Countries citing papers authored by Chris Gilpin

Since Specialization
Citations

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

Fields of papers citing papers by Chris Gilpin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Gilpin

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

All Works

9 of 9 papers shown
1.
Denkinger, Claudia M., Sandra V. Kik, Daniela María Cirillo, et al.. (2015). Defining the Needs for Next Generation Assays for Tuberculosis. The Journal of Infectious Diseases. 211(suppl_2). S29–S38. 113 indexed citations
2.
Scott, Lesley, et al.. (2014). Multicenter Feasibility Study To Assess External Quality Assessment Panels for Xpert MTB/RIF Assay in South Africa. Journal of Clinical Microbiology. 52(7). 2493–2499. 23 indexed citations
3.
Weyer, Karin, Fuad Mirzayev, Giovanni Battista Migliori, et al.. (2012). Rapid molecular TB diagnosis: evidence, policy making and global implementation of Xpert MTB/RIF. European Respiratory Journal. 42(1). 252–271. 167 indexed citations
4.
Luke, Louis, Suparat Phuanukoonnon, Chris Gilpin, et al.. (2008). Distribution of Pulmonary Tuberculosis and TB Drug Resistance in a Hospital Setting in Papua New Guinea. International Journal of Infectious Diseases. 12. e336–e336. 1 indexed citations
5.
Thomson, Rachel, Robyn Carter, Chris Gilpin, Chris Coulter, & Megan Hargreaves. (2008). Comparison of Methods for Processing Drinking Water Samples for the Isolation of Mycobacterium avium and Mycobacterium intracellulare. Applied and Environmental Microbiology. 74(10). 3094–3098. 44 indexed citations
6.
Shah, Neha, A Wright, Gill‐Han Bai, et al.. (2007). Worldwide Emergence of Extensively Drug-resistant Tuberculosis. Emerging infectious diseases. 13(3). 380–387. 426 indexed citations
7.
Lumb, Richard, et al.. (2006). Tuberculosis in Australia: bacteriologically confirmed cases and drug resistance, 2004. Communicable Diseases Intelligence. 30. 102–108. 3 indexed citations
8.
Gilpin, Chris, et al.. (2004). MIRU: the national tuberculosis genotyping strategy in Australia. Microbiology Australia. 25(4). 34–35. 3 indexed citations
9.
Lumb, Richard, et al.. (2003). Tuberculosis in Australia: bacteriologically confirmed cases and drug resistance, 2002: A report of the Australian Mycobacterium Reference Laboratory Network. Communicable Diseases Intelligence. 27(1). 12–17. 16 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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