Daniela Sperl

607 citations
20 papers · 422 · h-index 11

Impact in

    • Autoimmune and Inflammatory Disorders Research
    • Antifungal resistance and susceptibility
    • Parvovirus B19 Infection Studies

Papers in

Daniela Sperl

20 papers receiving 415 citations

Peers

Daniela Sperl
Comparison fields: 5 of 61
  • Hematology 62
  • Infectious Diseases 86
  • Surgery 165
  • Genetics 39
  • Neurology 52
Replace Ulrike Graubner with:
Ulrike Graubner Germany
Lucie Burešová Czechia
Ryuji Ieki Japan
Mukul Aggarwal India
Hanna Santos Marques Brazil
Zeinab Aryanian Iran
Giovanbattista Ippoliti Italy
Samin Alavi Iran
Zuzana Paračková Czechia
Hee Sue Park South Korea
Daniela Sperl relative to Ulrike Graubner Germany Ulrike Graubner's profile →
Citations per field
00.5×2×4×6.4×
Ulrike Graubner · 1×
Citations per year

Countries citing papers authored by Daniela Sperl

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Sperl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2015162
2 201850
3 201432
4 201327
5 201022
6 202021
7 201721
8 201718
9 201317
10 201817
11 201310
12 20177
13 20174
14 20193
15 20123
16 20182
17 20222
18 20142
19 20171
20 20171

About Daniela Sperl

Daniela Sperl is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Surgery, Hematology and Epidemiology, having authored 20 papers that have together received 422 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Fungal Infections and Studies (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Immune Cell Function and Interaction (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Hematology (62 citations), Infectious Diseases (86 citations), Surgery (165 citations), Genetics (39 citations) and Neurology (52 citations). Daniela Sperl has collaborated with scholars based in Austria, Germany and Netherlands. Frequent co-authors include Martin Benesch, Herwig Lackner, Wolfgang Schwinger, Markus G. Seidel, Petra Sovinz, Christian Urban, Volker Strenger, Erich Sorantin, Emir Q. Haxhija and F. Reiterer. Their work appears in journals such as Supportive Care in Cancer, Pediatric Blood & Cancer, Journal of Antimicrobial Chemotherapy, Nutrients and Frontiers in Immunology.

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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