Daniel B. Muleta

26 papers receiving 505 citations

Peers

Daniel B. Muleta
Comparison fields: 5 of 63
  • Molecular Medicine 267
  • Applied Microbiology and Biotechnology 80
  • Endocrinology 66
  • Clinical Biochemistry 57
  • Hepatology 31
Replace Agnettah M Olorosa with:
Agnettah M Olorosa United Kingdom
Fatma Mutlu Sarıgüzel Türkiye
Edit Székely Hungary
R Valencia Spain
Anita Hällgren Sweden
Inés de Benito Spain
Dirk W. van Dam Netherlands
Naser Eldin Bilal Sudan
Jan H. van Zeijl Netherlands
VC OHRI India
Daniel B. Muleta relative to Agnettah M Olorosa United Kingdom Agnettah M Olorosa's profile →
Citations per field
00.5×5×10×17×
Agnettah M Olorosa · 1×
Citations per year

Countries citing papers authored by Daniel B. Muleta

Since Specialization
Citations

This map shows the geographic impact of Daniel B. 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 B. 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 B. Muleta more than expected).

Fields of papers citing papers by Daniel B. Muleta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel B. 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 B. Muleta Line = papers co-authored together Daniel B. Muleta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201998
2 202081
3 201560
4 201259
5 201857
6 201730
7 202222
8 202220
9 201518
10 202414
11 202313
12 201713
13 201510
14
Soil Fertility and Plant Nutrient Management
20187
15 20235
16 20233
17 20163
18 20182
19 20162
20 20182

About Daniel B. Muleta

Daniel B. Muleta is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology, Clinical Biochemistry, Agronomy and Crop Science and Epidemiology, having authored 30 papers that have together received 525 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (19 papers), Antibiotic Use and Resistance (14 papers), Bacterial Identification and Susceptibility Testing (9 papers), Agronomic Practices and Intercropping Systems (4 papers), Legume Nitrogen Fixing Symbiosis (4 papers), Urinary Tract Infections Management (3 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Molecular Medicine (267 citations), Applied Microbiology and Biotechnology (80 citations), Endocrinology (66 citations), Clinical Biochemistry (57 citations) and Hepatology (31 citations). Daniel B. Muleta has collaborated with scholars based in United States, Australia and Ethiopia. Frequent co-authors include Anteneh Argaw, Matthew D. Denton, Maarten H. Ryder, Kristin Sweet, Sarah F. Schillie, Emily Smith, Tasha M. Poissant, Daniel J. Zaccaro, Trudy V. Murphy and Marion A. Kainer. Their work appears in journals such as Open Forum Infectious Diseases, Infection Control and Hospital Epidemiology, Emerging infectious diseases, American Journal of Infection Control and Soil Science & Plant Nutrition.

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