S. Špánik

2.6k citations
83 papers · 1.4k · h-index 20

Impact in

    • Antifungal resistance and susceptibility
  • Oncology top 5%
    • Neutropenia and Cancer Infections
    • Cancer Treatment and Pharmacology
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Neutropenia and Cancer Infections 28
    • Cancer Treatment and Pharmacology 15
    • Antifungal resistance and susceptibility 15

S. Špánik

74 papers receiving 1.3k citations

Peers

S. Špánik
Comparison fields: 5 of 81
  • Infectious Diseases 333
  • Oncology 448
  • Applied Microbiology and Biotechnology 28
  • Clinical Biochemistry 95
  • Molecular Medicine 44
Replace Akiko Yoneyama with:
Akiko Yoneyama Japan
Simon Daenen Netherlands
Patricia García Chile
Luana Fianchi Italy
Sarika Jain United States
Michael A. Lew United States
Manuel Santamarı́a Spain
Chiara Cattaneo Italy
Montserrat Arnán Spain
Morena Caira Italy
S. Špánik relative to Akiko Yoneyama Japan Akiko Yoneyama's profile →
Citations per field
00.5×1.5×2.2×
Akiko Yoneyama · 1×
Citations per year

Countries citing papers authored by S. Špánik

Since Specialization
Citations

This map shows the geographic impact of S. Špánik'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 S. Špánik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Špánik more than expected).

Fields of papers citing papers by S. Špánik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Špánik. 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 S. Špánik. The network helps show where S. Špánik may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015194
2 2015133
3 199889
4 199983
5 201876
6 201769
7 200549
8 199749
9 200943
10 201542
11 199838
12 199733
13 199733
14 201424
15 199824
16 199623
17 201722
18 200521
19 199720
20 199619

About S. Špánik

S. Špánik is a scholar working on Oncology, Infectious Diseases, Epidemiology, Surgery and Pulmonary and Respiratory Medicine, having authored 83 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neutropenia and Cancer Infections (28 papers), Antifungal resistance and susceptibility (15 papers), Cancer Treatment and Pharmacology (15 papers), Bacterial Identification and Susceptibility Testing (12 papers), Testicular diseases and treatments (11 papers), Fungal Infections and Studies (10 papers), Sarcoma Diagnosis and Treatment (6 papers) and Antibiotics Pharmacokinetics and Efficacy (5 papers). The work is most often cited by research in Infectious Diseases (333 citations), Oncology (448 citations), Applied Microbiology and Biotechnology (28 citations), Clinical Biochemistry (95 citations) and Molecular Medicine (44 citations). S. Špánik has collaborated with scholars based in Slovakia, India and Malaysia. Frequent co-authors include V. Krčméry, Jozef Mardiak, J. Trupl, Michal Mego, Daniela Světlovská, A. Kunová, Michal Chovanec, Věra Miškovská, Katarína Rejleková and Zuzana Čierna. Their work appears in journals such as Journal of Clinical Oncology, Chemotherapy, Supportive Care in Cancer, Journal of Chemotherapy and Annals of Oncology.

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.

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