Emi Minejima

1.1k total citations · 1 hit paper
26 papers, 766 citations indexed

About

Emi Minejima is a scholar working on Infectious Diseases, Epidemiology and Clinical Biochemistry. According to data from OpenAlex, Emi Minejima has authored 26 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Infectious Diseases, 11 papers in Epidemiology and 10 papers in Clinical Biochemistry. Recurrent topics in Emi Minejima's work include Antimicrobial Resistance in Staphylococcus (12 papers), Bacterial Identification and Susceptibility Testing (10 papers) and Streptococcal Infections and Treatments (7 papers). Emi Minejima is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (12 papers), Bacterial Identification and Susceptibility Testing (10 papers) and Streptococcal Infections and Treatments (7 papers). Emi Minejima collaborates with scholars based in United States and Saudi Arabia. Emi Minejima's co-authors include Annie Wong‐Beringer, Mimi Lou, Michael Neely, David S. Bayard, Brenda Jones, Paul Nieberg, Michael Van Guilder, Walter M. Yamada, Alan Schumitzky and Rosemary C. She and has published in prestigious journals such as Circulation, Clinical Infectious Diseases and Journal of Clinical Microbiology.

In The Last Decade

Emi Minejima

26 papers receiving 749 citations

Hit Papers

Prospective Trial on the Use of Trough Concentration vers... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emi Minejima United States 13 478 334 324 245 128 26 766
Holly Maples United States 13 841 1.8× 408 1.2× 780 2.4× 323 1.3× 153 1.2× 20 1.4k
Kenneth Klinker United States 19 575 1.2× 369 1.1× 436 1.3× 494 2.0× 113 0.9× 42 1.1k
Levita Hidayat United States 11 737 1.5× 575 1.7× 302 0.9× 245 1.0× 190 1.5× 18 1.2k
Rachel M. Kenney United States 15 220 0.5× 172 0.5× 153 0.5× 230 0.9× 49 0.4× 74 805
Donald Hsu United States 11 868 1.8× 579 1.7× 352 1.1× 324 1.3× 194 1.5× 16 1.2k
Lina Meng United States 13 178 0.4× 133 0.4× 204 0.6× 145 0.6× 66 0.5× 24 490
Yazdan Mirzanejad Canada 13 183 0.4× 126 0.4× 174 0.5× 356 1.5× 71 0.6× 22 753
Friederike Traunmüller Austria 19 263 0.6× 123 0.4× 547 1.7× 311 1.3× 71 0.6× 32 891
Lala M. Dunbar United States 16 396 0.8× 254 0.8× 258 0.8× 465 1.9× 150 1.2× 22 1.1k
Denis Bugnon France 16 290 0.6× 179 0.5× 395 1.2× 351 1.4× 52 0.4× 32 816

Countries citing papers authored by Emi Minejima

Since Specialization
Citations

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

Fields of papers citing papers by Emi Minejima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emi Minejima

This figure shows the co-authorship network connecting the top 25 collaborators of Emi Minejima. A scholar is included among the top collaborators of Emi Minejima 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 Emi Minejima. Emi Minejima 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
1.
Wald‐Dickler, Noah, Catherine P. Canamar, Kusha Davar, et al.. (2023). Real-World Application of Oral Therapy for Infective Endocarditis: A Multicenter, Retrospective, Cohort Study. Clinical Infectious Diseases. 77(5). 672–679. 33 indexed citations
3.
Chambliss, Allison B, Khushbu Patel, Jessica M Colón-Franco, et al.. (2023). AACC Guidance Document on the Clinical Use of Procalcitonin. The Journal of Applied Laboratory Medicine. 8(3). 598–634. 15 indexed citations
4.
Lou, Mimi, et al.. (2023). Prognostic significance of early platelet dynamics in Staphylococcus aureus bacteremia. BMC Infectious Diseases. 23(1). 82–82. 7 indexed citations
5.
Domínguez, Fernándo, Kusha Davar, Noah Wald‐Dickler, et al.. (2022). How to change the course: practical aspects of implementing shorter is better. Clinical Microbiology and Infection. 29(11). 1402–1406. 4 indexed citations
6.
Ng, Tien M. H., et al.. (2022). Acute Bacterial Infections and Longitudinal Risk of Readmissions and Mortality in Patients Hospitalized with Heart Failure. Journal of Clinical Medicine. 11(3). 740–740. 1 indexed citations
7.
Minejima, Emi, et al.. (2022). Evaluation of step-down oral antibiotic therapy for uncomplicated streptococcal bloodstream infections on clinical outcomes. Therapeutic Advances in Infectious Disease. 9. 1998308064–1998308064. 16 indexed citations
8.
Minejima, Emi, et al.. (2021). Cytokine measurements add value to clinical variables in predicting outcomes for Staphylococcus aureus bacteremia. BMC Infectious Diseases. 21(1). 317–317. 10 indexed citations
10.
Bolaris, Michael, et al.. (2020). Cost–benefit analysis comparing trough, two-level AUC and Bayesian AUC dosing for vancomycin. Clinical Microbiology and Infection. 27(9). 1346.e1–1346.e7. 30 indexed citations
11.
Minejima, Emi, Melissa Mert, Wendy J. Mack, et al.. (2019). Defining the Breakpoint Duration of Staphylococcus aureus Bacteremia Predictive of Poor Outcomes. Clinical Infectious Diseases. 70(4). 566–573. 97 indexed citations
12.
Minejima, Emi, et al.. (2019). Utility of qSOFA score in identifying patients at risk for poor outcome in Staphylococcus aureus bacteremia. BMC Infectious Diseases. 19(1). 149–149. 14 indexed citations
13.
Van, Tam T., et al.. (2019). Don't Get Wound Up: Revised Fluoroquinolone Breakpoints for Enterobacteriaceae and Pseudomonas aeruginosa. Journal of Clinical Microbiology. 57(7). 27 indexed citations
14.
Joyce, Geoffrey, et al.. (2018). Abstract 10876: Nosocomial Infections Are Associated With Increased Hospital Readmissions, Mortality, and Cost in Patients Hospitalized With Heart Failure. Circulation. 1 indexed citations
15.
Yadav, Kabir, Eriko Masuda, Emi Minejima, & Brad Spellberg. (2018). Expected Practice as a Novel Antibiotic Stewardship Intervention. Open Forum Infectious Diseases. 6(1). ofy319–ofy319. 10 indexed citations
16.
Kim, Tae Hun, Emi Minejima, Brad Spellberg, et al.. (2017). Evaluation of the FilmArray Meningitis/Encephalitis Molecular Panel in a Tertiary Care Public County Hospital. Open Forum Infectious Diseases. 4(suppl_1). S596–S596. 1 indexed citations
17.
Minejima, Emi & Annie Wong‐Beringer. (2016). Implementation of rapid diagnostics with antimicrobial stewardship. Expert Review of Anti-infective Therapy. 14(11). 1065–1075. 31 indexed citations
18.
Minejima, Emi, Rosemary C. She, Wendy J. Mack, et al.. (2015). A Dysregulated Balance of Proinflammatory and Anti-Inflammatory Host Cytokine Response Early During Therapy Predicts Persistence and Mortality in Staphylococcus aureus Bacteremia*. Critical Care Medicine. 44(4). 671–679. 53 indexed citations
19.
Minejima, Emi, Mimi Lou, Paul Nieberg, & Annie Wong‐Beringer. (2014). Patients presenting to the hospital with MRSA pneumonia: differentiating characteristics and outcomes with empiric treatment. BMC Infectious Diseases. 14(1). 252–252. 21 indexed citations
20.
Minejima, Emi, et al.. (2011). Applying New Diagnostic Criteria for Acute Kidney Injury To Facilitate Early Identification of Nephrotoxicity in Vancomycin-Treated Patients. Antimicrobial Agents and Chemotherapy. 55(7). 3278–3283. 80 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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