Eva Leitner

80 papers receiving 1.9k citations

Peers

Eva Leitner
Comparison fields: 5 of 106
  • Molecular Medicine 480
  • Applied Microbiology and Biotechnology 91
  • Clinical Biochemistry 289
  • Endocrinology 188
  • Infectious Diseases 373
Replace François Guérin with:
François Guérin France
Yao-Shen Chen Taiwan
Denis Spelman Australia
Natividad Benito Spain
Gülşen Hasçelik Türkiye
A. Pearson United Kingdom
Murray A. Abramson United States
B. A. Cunha United States
Wen‐Liang Yu Taiwan
Marı́a Pérez-Vázquez Spain
Eva Leitner relative to François Guérin France François Guérin's profile →
Citations per field
00.5×1.5×
François Guérin · 1×
Citations per year

Countries citing papers authored by Eva Leitner

Since Specialization
Citations

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

Fields of papers citing papers by Eva Leitner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983274
2 2014105
3 200994
4 200282
5 200964
6 201462
7 201262
8 201260
9 201047
10 199747
11 201046
12 201246
13 201443
14 199940
15 201239
16 202338
17 200937
18 201036
19 201235
20 200634

About Eva Leitner

Eva Leitner is a scholar working on Infectious Diseases, Molecular Medicine, Clinical Biochemistry, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 93 papers that have together received 2.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (21 papers), Bacterial Identification and Susceptibility Testing (18 papers), Antimicrobial Resistance in Staphylococcus (11 papers), Cardiac electrophysiology and arrhythmias (10 papers), Cardiac pacing and defibrillation studies (8 papers), Streptococcal Infections and Treatments (6 papers), Cardiac Arrhythmias and Treatments (6 papers) and Genomics and Phylogenetic Studies (6 papers). The work is most often cited by research in Molecular Medicine (480 citations), Applied Microbiology and Biotechnology (91 citations), Clinical Biochemistry (289 citations), Endocrinology (188 citations) and Infectious Diseases (373 citations). Eva Leitner has collaborated with scholars based in Austria, Germany and Switzerland. Frequent co-authors include Andrea Grisold, Gebhard Feierl, Martin Hoenigl, Gernot Zarfel, Egon Marth, Ines Zollner‐Schwetz, Rolf Schröder, Harald H. Kessler, Robert Krause and Thomas Valentin. Their work appears in journals such as Journal of Clinical Microbiology, Diagnostic Microbiology and Infectious Disease, Clinical Microbiology and Infection, European Journal of Clinical Microbiology & Infectious Diseases and International Journal of Medical Microbiology.

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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