Daniel Muleta

679 total citations
20 papers, 186 citations indexed

About

Daniel Muleta is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Clinical Biochemistry. According to data from OpenAlex, Daniel Muleta has authored 20 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Medicine, 9 papers in Applied Microbiology and Biotechnology and 6 papers in Clinical Biochemistry. Recurrent topics in Daniel Muleta's work include Antibiotic Resistance in Bacteria (10 papers), Antibiotic Use and Resistance (9 papers) and Bacterial Identification and Susceptibility Testing (6 papers). Daniel Muleta is often cited by papers focused on Antibiotic Resistance in Bacteria (10 papers), Antibiotic Use and Resistance (9 papers) and Bacterial Identification and Susceptibility Testing (6 papers). Daniel Muleta collaborates with scholars based in United States, Australia and Ethiopia. Daniel Muleta's co-authors include Anteneh Argaw, Maarten H. Ryder, Matthew D. Denton, Daniel J. Zaccaro, Kristin Sweet, Trudy V. Murphy, Marion Kainer, Emily Smith, Meredith Reilly and R. Monina Klevens and has published in prestigious journals such as SHILAP Revista de lepidopterología, Emerging infectious diseases and MMWR Morbidity and Mortality Weekly Report.

In The Last Decade

Daniel Muleta

16 papers receiving 173 citations

Peers

Daniel Muleta
Shefali Gupta India
Boglárka Balogh Hungary
Juan Carlos Crespo‐Rivas Spain
Marc Niebel United Kingdom
Ayşe Özlem Mete Türkiye
Yueting Jiang China
Abdulsalam Alawfi Saudi Arabia
Olivier Lemenand France
Indresh Singh United States
Esteban Aznar Spain
Shefali Gupta India
Daniel Muleta
Citations per year, relative to Daniel Muleta Daniel Muleta (= 1×) peers Shefali Gupta

Countries citing papers authored by Daniel Muleta

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Muleta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Muleta

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Muleta. A scholar is included among the top collaborators of Daniel Muleta 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 Daniel Muleta. Daniel Muleta 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.
Villegas, Raquel, et al.. (2023). Comparison of clinical antibiotic susceptibility testing interpretations to CLSI standard interpretations. SHILAP Revista de lepidopterología. 3(S2). s114–s114.
2.
3.
Evans, Christopher, et al.. (2021). Effects of antibiotic suppression on three healthcare systems’ National Healthcare Safety Network Antibiotic Resistance Option data. SHILAP Revista de lepidopterología. 1(1). e47–e47. 1 indexed citations
4.
Reses, Hannah E., Kelly M Hatfield, Jesse T. Jacob, et al.. (2020). Characteristics Associated with Death in Patients with Carbapenem-Resistant Acinetobacter baumannii, United States, 2012–2017. Infection Control and Hospital Epidemiology. 41(S1). s59–s60. 1 indexed citations
5.
Bulens, Sandra N., Sophia V. Kazakova, Hannah E. Reses, et al.. (2020). Carbapenem-Resistant Acinetobacter baumannii Incidence Trends Identified Through the Emerging Infections Program, 2012–2018. Infection Control and Hospital Epidemiology. 41(S1). s462–s463.
6.
Reses, Hannah E., Cedric Brown, Ghinwa Dumyati, et al.. (2020). Area-Based Socioeconomic Status Measures and Incidence of Community-Associated ESBL-Producing Enterobacteriaceae, 2017. Infection Control and Hospital Epidemiology. 41(S1). s128–s129. 1 indexed citations
7.
Campbell, Davina, Hannah E. Reses, Chris Bower, et al.. (2020). Epidemiologic Characteristics of ESBL-Producing ST131 E. coli Identified Through the Emerging Infections Program, 2017. Infection Control and Hospital Epidemiology. 41(S1). s214–s215. 1 indexed citations
8.
Zhu, Wenming, Gillian McAllister, Davina Campbell, et al.. (2019). 606. Identification and Characterization of HMB-2, a Novel Metallo-β-Lactamase in a Pseudomonas aeruginosa Isolate. Open Forum Infectious Diseases. 6(Supplement_2). S283–S284.
9.
Muleta, Daniel, et al.. (2018). Soil Fertility and Plant Nutrient Management. 7 indexed citations
10.
O’Leary, Erin, Joelle Nadle, Deborah Thompson, et al.. (2018). 275. Evaluation of Vancomycin Prescribing Quality in Hospitalized Pediatric Patients. Open Forum Infectious Diseases. 5(suppl_1). S114–S114.
11.
Bulens, Sandra N., Hannah E. Reses, Maria Karlsson, et al.. (2018). 1761. Effect of Carbapenem-Resistant Enterobacteriaceae (CRE) Surveillance Case Definition Change on CRE Epidemiology—Selected US Sites, 2015–2016. Open Forum Infectious Diseases. 5(suppl_1). S61–S62. 1 indexed citations
12.
Argaw, Anteneh & Daniel Muleta. (2017). Effect of genotypes-Rhizobium-environment interaction on nodulation and productivity of common bean (Phaseolus vulgaris L.) in eastern Ethiopia. SHILAP Revista de lepidopterología. 6(1). 9 indexed citations
13.
Muleta, Daniel, Maarten H. Ryder, & Matthew D. Denton. (2017). The potential for rhizobial inoculation to increase soybean grain yields on acid soils in Ethiopia. Soil Science & Plant Nutrition. 63(5). 441–451. 26 indexed citations
14.
Argaw, Anteneh & Daniel Muleta. (2016). Inorganic nitrogen application improves the yield and yield traits of common bean (Phaseolus vulgarisL.) irrespective of the indigenous rhizobial population. South African Journal of Plant and Soil. 34(2). 97–104. 3 indexed citations
15.
Walters, Maroya Spalding, Sandra N. Bulens, Emily Hancock, et al.. (2016). Surveillance for Carbapenem-Resistant Pseudomonas aeruginosa at Five United States Sites—2015. Open Forum Infectious Diseases. 3(suppl_1). 2 indexed citations
16.
Argaw, Anteneh, et al.. (2015). Agronomic efficiency of N of common bean (Phaseolus vulgaris L.) in some representative soils of Eastern Ethiopia. Cogent Food & Agriculture. 1(1). 1074790–1074790. 17 indexed citations
17.
Muleta, Daniel, Marion Kainer, Andrew Wiese, et al.. (2015). Notes from the Field: Hepatitis C Outbreak in a Dialysis Clinic — Tennessee, 2014. MMWR Morbidity and Mortality Weekly Report. 64(50-51). 1386–1387. 10 indexed citations
18.
Chea, Nora, Sandra N. Bulens, Ruth Lynfield, et al.. (2015). Improved Phenotype-Based Definition for Identifying Carbapenemase Producers among Carbapenem-ResistantEnterobacteriaceae. Emerging infectious diseases. 21(9). 1611–1616. 53 indexed citations
19.
Chea, Nora, Sandra N. Bulens, Valérie Albrecht, et al.. (2014). 1800Phenotypic Definitions for Identifying Carbapenemase-Producing Carbapenem-resistant Enterobacteriaceae. Open Forum Infectious Diseases. 1(suppl_1). S63–S63. 1 indexed citations
20.
Reilly, Meredith, Sarah Schillie, Emily Smith, et al.. (2012). Increased Risk of Acute Hepatitis B among Adults with Diagnosed Diabetes Mellitus. Journal of Diabetes Science and Technology. 6(4). 858–866. 52 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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