Diana Quach

515 total citations
8 papers, 145 citations indexed

About

Diana Quach is a scholar working on Infectious Diseases, Molecular Biology and Pharmacology. According to data from OpenAlex, Diana Quach has authored 8 papers receiving a total of 145 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 3 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Diana Quach's work include Bacterial Identification and Susceptibility Testing (3 papers), Cancer therapeutics and mechanisms (2 papers) and Tuberculosis Research and Epidemiology (2 papers). Diana Quach is often cited by papers focused on Bacterial Identification and Susceptibility Testing (3 papers), Cancer therapeutics and mechanisms (2 papers) and Tuberculosis Research and Epidemiology (2 papers). Diana Quach collaborates with scholars based in United States and Sweden. Diana Quach's co-authors include Joe Pogliano, Kit Pogliano, Victor Nizet, George Sakoulas, Javier López‐Garrido, Anne Lamsa, Eammon P. Riley, Joshua Olson, Michael J. Rybak and Joseph Pogliano and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Antimicrobial Agents and Chemotherapy and ACS Chemical Biology.

In The Last Decade

Diana Quach

6 papers receiving 144 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Diana Quach United States	4	56	50	42	33	32	8	145
Matthew S. Curtis United States	5	155 2.8×	150 3.0×	44 1.0×	18 0.5×	62 1.9×	6	362
Christine E. Peters United States	9	113 2.0×	11 0.2×	70 1.7×	20 0.6×	24 0.8×	14	231
Josefin Bartholdson Scott United Kingdom	6	37 0.7×	25 0.5×	17 0.4×	8 0.2×	80 2.5×	12	134
Stéphanie Le Page France	9	43 0.8×	70 1.4×	35 0.8×	48 1.5×	157 4.9×	18	248
John Santerre United States	4	99 1.8×	58 1.2×	22 0.5×	7 0.2×	69 2.2×	14	181
Rebecca Will United States	6	148 2.6×	59 1.2×	45 1.1×	7 0.2×	71 2.2×	8	233
Ina Engels Germany	4	142 2.5×	11 0.2×	55 1.3×	69 2.1×	53 1.7×	5	232
Julian R. Braxton United States	4	88 1.6×	27 0.5×	15 0.4×	24 0.7×	154 4.8×	4	237
Huangdu Hu China	10	54 1.0×	45 0.9×	28 0.7×	47 1.4×	204 6.4×	24	247
Cullen L. Myers Canada	7	120 2.1×	5 0.1×	26 0.6×	53 1.6×	60 1.9×	9	199

Countries citing papers authored by Diana Quach

Since Specialization

Citations

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

Fields of papers citing papers by Diana Quach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Quach

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

All Works

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8 of 8 papers shown

Quach, Diana, Marc D. Sharp, Lauren Ames, et al.. (2025). Deep learning–driven bacterial cytological profiling to determine antimicrobial mechanisms in Mycobacterium tuberculosis. Proceedings of the National Academy of Sciences. 122(6). e2419813122–e2419813122. 3 indexed citations

Ames, Lauren, Curtis A. Engelhart, Diana Quach, et al.. (2025). Microbiological evidence for the trisubstituted benzimidazoles targeting MmpL3 in Mycobacterium tuberculosis. Antimicrobial Agents and Chemotherapy. 69(10). e0036825–e0036825.

Burch, David, Eric W. Lin, Diana Quach, et al.. (2025). Atomoxetine Drug Properties for Repurposing as a Candidate Alzheimer’s Disease Therapeutic Agent. ACS Pharmacology & Translational Science. 8(11). 3757–3772.

Ames, Lauren, Vanessa Pietrowski Baldin, Arielle Butts, et al.. (2024). An arylsulfonamide that targets cell wall biosynthesis in Mycobacterium tuberculosis. Antimicrobial Agents and Chemotherapy. 68(11). e0103724–e0103724. 1 indexed citations

Peters, Christine E., Anne Lamsa, Diana Quach, et al.. (2018). Rapid Inhibition Profiling Identifies a Keystone Target in the Nucleotide Biosynthesis Pathway. ACS Chemical Biology. 13(12). 3251–3258. 10 indexed citations

Quach, Diana, George Sakoulas, Victor Nizet, Joe Pogliano, & Kit Pogliano. (2016). Bacterial Cytological Profiling (BCP) as a Rapid and Accurate Antimicrobial Susceptibility Testing Method for Staphylococcus aureus. EBioMedicine. 4. 95–103. 55 indexed citations

Sakoulas, George, Joshua Olson, Juwon Yim, et al.. (2016). Cefazolin and Ertapenem, a Synergistic Combination Used To Clear Persistent Staphylococcus aureus Bacteremia. Antimicrobial Agents and Chemotherapy. 60(11). 6609–6618. 33 indexed citations

Lamsa, Anne, Javier López‐Garrido, Diana Quach, et al.. (2016). Rapid Inhibition Profiling in Bacillus subtilis to Identify the Mechanism of Action of New Antimicrobials. ACS Chemical Biology. 11(8). 2222–2231. 43 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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