David L. Dolinger

571 total citations
18 papers, 328 citations indexed

About

David L. Dolinger is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, David L. Dolinger has authored 18 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 8 papers in Epidemiology and 6 papers in Molecular Biology. Recurrent topics in David L. Dolinger's work include Tuberculosis Research and Epidemiology (8 papers), Mycobacterium research and diagnosis (8 papers) and Enzyme Production and Characterization (3 papers). David L. Dolinger is often cited by papers focused on Tuberculosis Research and Epidemiology (8 papers), Mycobacterium research and diagnosis (8 papers) and Enzyme Production and Characterization (3 papers). David L. Dolinger collaborates with scholars based in United States, Switzerland and United Kingdom. David L. Dolinger's co-authors include Gerald D. Shockman, Marco Schito, Vern L. Schramm, L Daneo-Moore, Claudia M. Denkinger, Daniela María Cirillo, Angela M. Starks, Debra Hanna, Paolo Miotto and Matteo Zignol and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

David L. Dolinger

17 papers receiving 318 citations

Peers

David L. Dolinger

EPIDE

SURGE

Karen E. Griffin Netherlands

Isabel Escribano Spain

Jennifer I. Smart United States

Jessica A. Schuyler United States

Fernanda Pimentel de Araujo Italy

Aina Elisabeth Fossum Moen Norway

Samin Zamani Iran

Gulnaz Bashir India

Émilie Camiade France

Leonard Siegfried Slovakia

Karen E. Griffin Netherlands

David L. Dolinger

121 ×0.6

91 ×0.5

EPIDE

122 ×1.3

24 ×0.5

SURGE

24 ×0.6

Citations per year, relative to David L. Dolinger David L. Dolinger (= 1×) peers Karen E. Griffin

Countries citing papers authored by David L. Dolinger

Since Specialization

Citations

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

Fields of papers citing papers by David L. Dolinger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David L. Dolinger. 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 David L. Dolinger. The network helps show where David L. Dolinger may publish in the future.

Co-authorship network of co-authors of David L. Dolinger

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

All Works

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18 of 18 papers shown

Phelan, Jody, Sophia B. Georghiou, David L. Dolinger, et al.. (2025). The ahpC c−54t compensatory mutation is not always a valid surrogate for isoniazid resistance in Mycobacterium tuberculosis. Antimicrobial Agents and Chemotherapy. 69(6). e0026525–e0026525.

Köser, Claudio U., Jaime Robledo, Natalia Shubladze, et al.. (2021). Guidance is needed to mitigate the consequences of analytic errors during antimicrobial susceptibility testing for TB. The International Journal of Tuberculosis and Lung Disease. 25(10). 791–794. 4 indexed citations

Ocheretina, Oksana, Angela Pires Brandão, Yu Pang, et al.. (2021). Impact of the bacillary load on the accuracy of rifampicin resistance results by Xpert^® MTB/RIF. The International Journal of Tuberculosis and Lung Disease. 25(11). 881–885. 5 indexed citations

Colman, Rebecca E., et al.. (2020). Review of automated DNA extraction systems for sequencing-based solutions for drug-resistant tuberculosis detection. Diagnostic Microbiology and Infectious Disease. 98(2). 115096–115096. 4 indexed citations

Dittrich, Sabine, Birkneh Tilahun Tadesse, Francis Moussy, et al.. (2017). Target Product Profile for a Diagnostic Assay to Differentiate Between Bacterial and Non-Bacterial Infections to Guide Antimicrobials Use in Resource-Limited Settings: An Expert Consensus. American Journal of Tropical Medicine and Hygiene. 95. 527–527. 1 indexed citations

Tessema, Belay, Pamela Nabeta, Audrey Albertini, et al.. (2017). FIND Tuberculosis Strain Bank: a Resource for Researchers and Developers Working on Tests To Detect Mycobacterium tuberculosis and Related Drug Resistance. Journal of Clinical Microbiology. 55(4). 1066–1073. 16 indexed citations

Dolinger, David L., Rebecca E. Colman, David M. Engelthaler, & Timothy C. Rodwell. (2016). Next-generation sequencing-based user-friendly platforms for drug-resistant tuberculosis diagnosis: A promise for the near future. International Journal of Mycobacteriology. 5. S27–S28. 15 indexed citations

Dittrich, Sabine, Birkneh Tilahun Tadesse, Francis Moussy, et al.. (2016). Target Product Profile for a Diagnostic Assay to Differentiate between Bacterial and Non-Bacterial Infections and Reduce Antimicrobial Overuse in Resource-Limited Settings: An Expert Consensus. PLoS ONE. 11(8). e0161721–e0161721. 62 indexed citations

McNerney, Ruth, Taane G. Clark, Susana Campino, et al.. (2016). Removing the bottleneck in whole genome sequencing of Mycobacterium tuberculosis for rapid drug resistance analysis: a call to action. International Journal of Infectious Diseases. 56. 130–135. 44 indexed citations

10.

Salamon, Hugh, Ken Yamaguchi, Daniela María Cirillo, et al.. (2015). Integration of Published Information Into a Resistance-Associated Mutation Database for Mycobacterium tuberculosis. The Journal of Infectious Diseases. 211(suppl_2). S50–S57. 26 indexed citations

11.

Denkinger, Claudia M., David L. Dolinger, Marco Schito, et al.. (2015). Target Product Profile of a Molecular Drug-Susceptibility Test for Use in Microscopy Centers. The Journal of Infectious Diseases. 211(suppl_2). S39–S49. 29 indexed citations

12.

Starks, Angela M., Daniela María Cirillo, Claudia M. Denkinger, et al.. (2015). Collaborative Effort for a Centralized Worldwide Tuberculosis Relational Sequencing Data Platform: Figure 1.. Clinical Infectious Diseases. 61(suppl 3). S141–S146. 52 indexed citations

13.

Dolinger, David L.. (2013). TOCE? - Chemistry for a new generation of molecular diagnostics. 1 indexed citations

14.

Dolinger, David L., et al.. (2011). Molecular Diagnostics and Active Screening for Health Care-Associated Infections: Stepping-Up the Game: Table 1. Laboratory Medicine. 42(5). 267–272. 2 indexed citations

15.

Dolinger, David L., L Daneo-Moore, & Gerald D. Shockman. (1989). The second peptidoglycan hydrolase of Streptococcus faecium ATCC 9790 covalently binds penicillin. Journal of Bacteriology. 171(8). 4355–4361. 23 indexed citations

16.

Dolinger, David L., Vern L. Schramm, & Gerald D. Shockman. (1988). Covalent modification of the beta-1,4-N-acetylmuramoylhydrolase of Streptococcus faecium with 5-mercaptouridine monophosphate.. Proceedings of the National Academy of Sciences. 85(18). 6667–6671. 19 indexed citations

17.

Shockman, Gerald D., Takeshi Kawamura, John F. Barrett, & David L. Dolinger. (1985). The autolytic peptidoglycan hydrolases of Streptococcus faecium. Annales de l Institut Pasteur Microbiologie. 136(1). 63–66. 5 indexed citations

18.

Barrett, John F., David L. Dolinger, Vern L. Schramm, & Gerald D. Shockman. (1984). The mechanism of soluble peptidoglycan hydrolysis by an autolytic muramidase. A processive exodisaccharidase.. Journal of Biological Chemistry. 259(19). 11818–11827. 20 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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