Małgorzata Mikulska
- Infectious Diseases top 0.5%
- Epidemiology top 1%
- Oncology top 1%
- Clinical Biochemistry top 0.2%
- Molecular Medicine top 0.5%
- Co-authors
- Claudio ViscoliMatteo BassettiValerio Del BonoCatherine CordonnierDaniele Roberto GiacobbeAnna Maria RaiolaDiana AverbuchAndrea Bacigalupo
- Topics
- Antifungal resistance and susceptibility (52 papers)Fungal Infections and Studies (48 papers)Neutropenia and Cancer Infections (29 papers)
- Journals
- SHILAP Revista de lepidopterologíaBloodClinical Infectious Diseases
- Partner nations
- ItalyUnited StatesPoland
In The Last Decade
Małgorzata Mikulska
152 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Infectious Diseases 2.6k
- Epidemiology 2.5k
- Oncology 1.8k
- Clinical Biochemistry 844
- Molecular Medicine 523
Countries citing papers authored by Małgorzata Mikulska
This map shows the geographic impact of Małgorzata Mikulska'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 Małgorzata Mikulska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Małgorzata Mikulska more than expected).
Fields of papers citing papers by Małgorzata Mikulska
This network shows the impact of papers produced by Małgorzata Mikulska. 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 Małgorzata Mikulska. The network helps show where Małgorzata Mikulska may publish in the future.
Co-authorship network of co-authors of Małgorzata Mikulska
This figure shows the co-authorship network connecting the top 25 collaborators of Małgorzata Mikulska. A scholar is included among the top collaborators of Małgorzata Mikulska 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 Małgorzata Mikulska. Małgorzata Mikulska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | Triple Combination Therapy With 2 Antivirals and Monoclonal Antibodies for Persistent or Relapsed Severe Acute Respiratory Syndrome Coronavirus 2 Infection in Immunocompromised Patientsbreakdown → | 71 |
| 8 | 2 | |
| 9 | 63 | |
| 10 | 26 | |
| 11 | 7 | |
| 12 | 83 | |
| 13 | 37 | |
| 14 | 6 | |
| 15 | 5 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 122 | |
| 19 | 0 | |
| 20 | 46 |
About Małgorzata Mikulska
Małgorzata Mikulska is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases and Clinical Biochemistry, having authored 166 papers that have together received 5.2k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (52 papers), Fungal Infections and Studies (48 papers) and Neutropenia and Cancer Infections (29 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (356 citations), Infectious Diseases (2.6k citations) and Clinical Biochemistry (844 citations). Małgorzata Mikulska has collaborated with scholars based in Italy, United States and Poland. Frequent co-authors include Claudio Viscoli, Matteo Bassetti, Valerio Del Bono, Catherine Cordonnier, Daniele Roberto Giacobbe, Anna Maria Raiola, Diana Averbuch, Andrea Bacigalupo, Oscar Marchetti and Giulia Gustinetti. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Clinical Infectious Diseases.
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.