D Nashev
- Molecular Medicine top 5%
- Clinical Biochemistry top 5%
- Bacterial Identification and Susceptibility Testing 2
- Endocrinology top 5%
- Infectious Diseases top 5%
- Antimicrobial Resistance in Staphylococcus 4
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- Bacterial biofilms and quorum sensing 3
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- Microbial Metabolism and Applications 2
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- Pneumonia and Respiratory Infections 2
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- Streptococcal Infections and Treatments 2
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- Bacterial Infections and Vaccines 2
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- Oral microbiology and periodontitis research 1
D Nashev
8 papers receiving 555 citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Molecular Medicine 114
- Clinical Biochemistry 137
- Endocrinology 99
- Infectious Diseases 249
- Applied Microbiology and Biotechnology 18
Countries citing papers authored by D Nashev
This map shows the geographic impact of D Nashev'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 D Nashev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D Nashev more than expected).
Fields of papers citing papers by D Nashev
This network shows the impact of papers produced by D Nashev. 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 D Nashev. The network helps show where D Nashev may publish in the future.
Co-authorship network
The 21 scholars most cited alongside D Nashev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2019 | 2 | |
| 3 | 2013 | 19 | |
| 4 | Overview of molecular typing methods for outbreak detection and epidemiological surveillancebreakdown → | 2013 | 376 |
| 5 | Nosocomial infections in burn patients: etiology, antimicrobial resistance, means to control. | 2013 | 40 |
| 6 | 2012 | 9 | |
| 7 | 2007 | 30 | |
| 8 | 2007 | 8 | |
| 9 | 2004 | 88 | |
| 10 | [Activity of vancomycin and teicoplanin against clinical isolates of Staphylococcus aureus in the period 1994-1999]. | 2000 | 1 |
About D Nashev
D Nashev is a scholar working on Microbiology, Clinical Biochemistry, Infectious Diseases, Biotechnology and Periodontics, having authored 10 papers that have together received 573 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (4 papers), Bacterial biofilms and quorum sensing (3 papers), Bacterial Identification and Susceptibility Testing (2 papers), Microbial Metabolism and Applications (2 papers), Pneumonia and Respiratory Infections (2 papers), Streptococcal Infections and Treatments (2 papers), Bacterial Infections and Vaccines (2 papers) and Oral microbiology and periodontitis research (1 paper). The work is most often cited by research in Molecular Medicine (114 citations), Clinical Biochemistry (137 citations), Endocrinology (99 citations), Infectious Diseases (249 citations) and Applied Microbiology and Biotechnology (18 citations). D Nashev has collaborated with scholars based in Bulgaria, Ireland and Germany. Frequent co-authors include Frédéric Laurent, Hajo Grundmann, Jan Maarten van Dijl, Alex W. Friedrich, Raquel Sá‐Leão, A. Sabat, Ana Budimir, Christoph Lämmler, Abdulwahed Ahmed Hassan and Siti Isrina Oktavia Salasia. Their work appears in journals such as Annals of Clinical Microbiology and Antimicrobials, Eurosurveillance, Journal of Chemotherapy, Letters in Applied Microbiology and FEMS Microbiology Letters.
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.