Daniel Muleta

17 papers receiving 188 citations

Peers

Daniel Muleta
Comparison fields: 5 of 46
  • Molecular Medicine 51
  • Applied Microbiology and Biotechnology 10
  • Hepatology 30
  • Agronomy and Crop Science 39
  • Endocrinology 18
Replace Juan Carlos Crespo‐Rivas with:
Juan Carlos Crespo‐Rivas Spain
Nejla Aissa France
Ayşe Özlem Mete Türkiye
Puja Amatya Nepal
Zhipeng Xu China
Helen L. Rose United Kingdom
Islam A. A. Ali Hong Kong
Esteban Aznar Spain
Zena Lapp United States
Zoe Jordens New Zealand
Daniel Muleta relative to Juan Carlos Crespo‐Rivas Spain Juan Carlos Crespo‐Rivas's profile →
Citations per field
00.5×1.5×
Juan Carlos Crespo‐Rivas · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel Muleta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Muleta Line = papers co-authored together Daniel Muleta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201259
2 201553
3 201729
4 201518
5 201713
6 201510
7
Soil Fertility and Plant Nutrient Management
20187
8 20163
9 20162
10 20201
11 20221
12 20201
13 20231
14 20201
15 20141
16 20211
17 20181
18 20190
19 20200
20 20180

About Daniel Muleta

Daniel Muleta is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology, Epidemiology, Clinical Biochemistry and Agronomy and Crop Science, having authored 20 papers that have together received 202 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (10 papers), Antibiotic Use and Resistance (9 papers), Bacterial Identification and Susceptibility Testing (5 papers), Legume Nitrogen Fixing Symbiosis (4 papers), Agronomic Practices and Intercropping Systems (4 papers), Hepatitis B Virus Studies (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers) and Nematode management and characterization studies (2 papers). The work is most often cited by research in Molecular Medicine (51 citations), Applied Microbiology and Biotechnology (10 citations), Hepatology (30 citations), Agronomy and Crop Science (39 citations) and Endocrinology (18 citations). Daniel Muleta has collaborated with scholars based in United States, Australia and Ethiopia. Frequent co-authors include Anteneh Argaw, Maarten H. Ryder, Matthew D. Denton, Emily Smith, Tasha Poissant, Jennifer Baumgartner, Daniel J. Zaccaro, Sarah Schillie, Trudy V. Murphy and Kristin Sweet. Their work appears in journals such as Open Forum Infectious Diseases, Infection Control and Hospital Epidemiology, Emerging infectious diseases, Journal of Diabetes Science and Technology and MMWR Morbidity and Mortality Weekly Report.

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