Tim H. Heupink

2.2k total citations
23 papers, 451 citations indexed

About

Tim H. Heupink is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Tim H. Heupink has authored 23 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 13 papers in Epidemiology and 11 papers in Molecular Biology. Recurrent topics in Tim H. Heupink's work include Tuberculosis Research and Epidemiology (13 papers), Mycobacterium research and diagnosis (13 papers) and Genomics and Phylogenetic Studies (7 papers). Tim H. Heupink is often cited by papers focused on Tuberculosis Research and Epidemiology (13 papers), Mycobacterium research and diagnosis (13 papers) and Genomics and Phylogenetic Studies (7 papers). Tim H. Heupink collaborates with scholars based in Belgium, South Africa and Australia. Tim H. Heupink's co-authors include David M. Lambert, Beth Shapiro, Annelies Van Rie, Simon Y. W. Ho, Craig D. Millar, Sankar Subramanian, Robin M. Warren, Carlo Baroni, Andrew Rambaut and Lennert Verboven and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Tim H. Heupink

22 papers receiving 446 citations

Peers

Tim H. Heupink

GENET

ECOLO

EPIDE

Alice Latinne France

Aung Lin United States

Simon F. K. Hills New Zealand

Jiawu Xu United States

Aleksandar Urošević Serbia

Valérie Deffontaine Belgium

Gili Greenbaum Israel

Kjetill S Jakobsen Norway

Pilar Jiménez Spain

Arun Zachariah India

Alice Latinne France

Tim H. Heupink

126 ×0.6

GENET

40 ×0.2

91 ×0.7

164 ×1.4

ECOLO

44 ×0.4

EPIDE

Citations per year, relative to Tim H. Heupink Tim H. Heupink (= 1×) peers Alice Latinne

Countries citing papers authored by Tim H. Heupink

Since Specialization

Citations

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

Fields of papers citing papers by Tim H. Heupink

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim H. Heupink. 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 Tim H. Heupink. The network helps show where Tim H. Heupink may publish in the future.

Co-authorship network of co-authors of Tim H. Heupink

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Dippenaar, Anzaan, Nabila Ismail, Tim H. Heupink, et al.. (2024). Droplet based whole genome amplification for sequencing minute amounts of purified Mycobacterium tuberculosis DNA. Scientific Reports. 14(1). 9931–9931.

Heupink, Tim H., et al.. (2023). The MAGMA pipeline for comprehensive genomic analyses of clinical Mycobacterium tuberculosis samples. PLoS Computational Biology. 19(11). e1011648–e1011648. 10 indexed citations

Verboven, Lennert, Anzaan Dippenaar, Elizabeth M. Streicher, et al.. (2022). Variants in Bedaquiline-Candidate-Resistance Genes: Prevalence in Bedaquiline-Naive Patients, Effect on MIC, and Association with Mycobacterium tuberculosis Lineage. Antimicrobial Agents and Chemotherapy. 66(7). e0032222–e0032222. 11 indexed citations

Verboven, Lennert, Jody Phelan, Tim H. Heupink, & Annelies Van Rie. (2022). TBProfiler for automated calling of the association with drug resistance of variants in Mycobacterium tuberculosis. PLoS ONE. 17(12). e0279644–e0279644. 19 indexed citations

Ley, Serej D., Tim H. Heupink, Anzaan Dippenaar, et al.. (2022). Transmission, distribution and drug resistance-conferring mutations of extensively drug-resistant tuberculosis in the Western Cape Province, South Africa. Microbial Genomics. 8(4). 11 indexed citations

Heupink, Tim H., Lennert Verboven, Robin M. Warren, & Annelies Van Rie. (2021). Comprehensive and accurate genetic variant identification from contaminated and low-coverage Mycobacterium tuberculosis whole genome sequencing data. Microbial Genomics. 7(11). 15 indexed citations

Dippenaar, Anzaan, Nabila Ismail, Melanie Grobbelaar, et al.. (2021). Optimizing liquefaction and decontamination of sputum for DNA extraction from Mycobacterium tuberculosis. Tuberculosis. 132. 102159–102159. 7 indexed citations

Heupink, Tim H., et al.. (2021). Detection of minor variants in Mycobacterium tuberculosis whole genome sequencing data. Briefings in Bioinformatics. 23(1). 8 indexed citations

Heupink, Tim H., Nabila Ismail, Anzaan Dippenaar, et al.. (2020). Capacity building for whole genome sequencing of Mycobacterium tuberculosis and bioinformatics in high TB burden countries. Briefings in Bioinformatics. 22(4). 11 indexed citations

10.

Klopper, Marisa, Tim H. Heupink, Grant Hill-Cawthorne, et al.. (2020). A landscape of genomic alterations at the root of a near-untreatable tuberculosis epidemic. BMC Medicine. 18(1). 24–24. 21 indexed citations

11.

Whitfield, Michael G., et al.. (2020). Identifying isoniazid resistance markers to guide inclusion of high-dose isoniazid in tuberculosis treatment regimens. Clinical Microbiology and Infection. 26(10). 1332–1337. 22 indexed citations

12.

Rie, Annelies Van, Michael G. Whitfield, Lesley Scott, et al.. (2019). Discordances between molecular assays for rifampicin resistance in Mycobacterium tuberculosis: frequency, mechanisms and clinical impact. Journal of Antimicrobial Chemotherapy. 75(5). 1123–1129. 10 indexed citations

13.

Dippenaar, Anzaan, Robin M. Warren, Margaretha de Vos, et al.. (2018). WHOLE GENOME SEQUENCING SHEDS LIGHT ON THE TRANSMISSION DYNAMICS OF A MULTIDRUG RESISTANT MYCOBACTERIUM TUBERCULOSIS OUTBREAK OVER 23 YEARS IN A HIGH INCIDENCE SETTING. Russian Journal of Infection and Immunity. 8(4). 566–567. 1 indexed citations

14.

Soares, André E. R., Ben J. Novak, James Haile, et al.. (2016). Complete mitochondrial genomes of living and extinct pigeons revise the timing of the columbiform radiation. BMC Evolutionary Biology. 16(1). 230–230. 38 indexed citations

15.

Heupink, Tim H., Hein van Grouw, & David M. Lambert. (2014). The mysterious Spotted Green Pigeon and its relation to the Dodo and its kindred. BMC Evolutionary Biology. 14(1). 136–136. 15 indexed citations

16.

Millar, Craig D., et al.. (2012). Adélie penguins and temperature changes in Antarctica: a long‐term view. Integrative Zoology. 7(2). 113–120. 13 indexed citations

17.

Heupink, Tim H., John van den Hoff, & David M. Lambert. (2012). King penguin population on Macquarie Island recovers ancient DNA diversity after heavy exploitation in historic times. Biology Letters. 8(4). 586–589. 11 indexed citations

18.

Heupink, Tim H., Leon Huynen, & David M. Lambert. (2011). Ancient DNA Suggests Dwarf and ‘Giant’ Emu Are Conspecific. PLoS ONE. 6(4). e18728–e18728. 18 indexed citations

19.

Subramanian, Sankar, Dee R. Denver, Craig D. Millar, et al.. (2009). High mitogenomic evolutionary rates and time dependency. Trends in Genetics. 25(11). 482–486. 81 indexed citations

20.

Ho, Simon Y. W., Tim H. Heupink, Andrew Rambaut, & Beth Shapiro. (2007). Bayesian Estimation of Sequence Damage in Ancient DNA. Molecular Biology and Evolution. 24(6). 1416–1422. 44 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.

Explore authors with similar magnitude of impact