Boyka Markova
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
Papers in
-
- Bacterial biofilms and quorum sensing 7
- RNA modifications and cancer 6
- Protein Tyrosine Phosphatases 5
-
- Antibiotic Resistance in Bacteria 10
- Co-authors
- Frank D. Böhmer (3 shared papers)Benjamin G. Neel (2 shared papers)Fawaz G. Haj (2 shared papers)Frank‐D. Böhmer (5 shared papers)Ivan Mitov (7 shared papers)Tanya Strateva (5 shared papers)Lori D. Klaman (1 shared paper)Frank Breitenbuecher (9 shared papers)
- Journals
- Blood (4 papers)Thyroid (2 papers)Microbial Drug Resistance (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)Molecular and Cellular Biology (2 papers)
- Partner nations
- GermanyBulgariaUnited States
In The Last Decade
Boyka Markova
35 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 94
- Molecular Medicine 196
- Hematology 354
- Applied Microbiology and Biotechnology 38
- Genetics 164
- Immunology 297
Countries citing papers authored by Boyka Markova
This map shows the geographic impact of Boyka Markova'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 Boyka Markova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boyka Markova more than expected).
Fields of papers citing papers by Boyka Markova
This network shows the impact of papers produced by Boyka Markova. 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 Boyka Markova. The network helps show where Boyka Markova may publish in the future.
Co-authors
The 25 scholars most cited alongside Boyka Markova, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 218 | |
| 2 | 2007 | 187 | |
| 3 | 2005 | 128 | |
| 4 | 2009 | 98 | |
| 5 | 2008 | 97 | |
| 6 | 2010 | 94 | |
| 7 | 2004 | 79 | |
| 8 | 2012 | 67 | |
| 9 | 2009 | 49 | |
| 10 | 2007 | 49 | |
| 11 | 2004 | 45 | |
| 12 | 2003 | 43 | |
| 13 | 2008 | 34 | |
| 14 | 2004 | 27 | |
| 15 | 2001 | 25 | |
| 16 | 2008 | 22 | |
| 17 | 2005 | 18 | |
| 18 | 2008 | 17 | |
| 19 | 2011 | 15 | |
| 20 | 2010 | 15 |
About Boyka Markova
Boyka Markova is a scholar working on Molecular Biology, Molecular Medicine, Hematology, Endocrinology, Diabetes and Metabolism and Immunology, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (10 papers), Chronic Myeloid Leukemia Treatments (8 papers), Thyroid Disorders and Treatments (7 papers), Bacterial biofilms and quorum sensing (7 papers), Galectins and Cancer Biology (6 papers), RNA modifications and cancer (6 papers), Protein Tyrosine Phosphatases (5 papers) and Acute Myeloid Leukemia Research (5 papers). The work is most often cited by research in Molecular Medicine (196 citations), Hematology (354 citations), Applied Microbiology and Biotechnology (38 citations), Genetics (164 citations) and Immunology (297 citations). Boyka Markova has collaborated with scholars based in Germany, Bulgaria and United States. Frequent co-authors include Frank D. Böhmer, Benjamin G. Neel, Fawaz G. Haj, Frank‐D. Böhmer, Ivan Mitov, Tanya Strateva, Lori D. Klaman, Frank Breitenbuecher, Peter Herrlich and Thomas Fischer. Their work appears in journals such as Blood, Thyroid, Microbial Drug Resistance, Antimicrobial Agents and Chemotherapy and Molecular and Cellular Biology.
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.