Eva Leitner

69 papers receiving 1.7k citations

Peers

Eva Leitner
Comparison fields: 5 of 86
  • Molecular Medicine 523
  • Clinical Biochemistry 158
  • Applied Microbiology and Biotechnology 65
  • Endocrinology 105
  • Infectious Diseases 384
Replace Andrea J. Grisold with:
Andrea J. Grisold Austria
Mei Kang China
Alberto Antonelli Italy
François Guérin France
Yesim S. Cetinkaya Türkiye
Chi-Jung Wu Taiwan
T.G. Winstanley United Kingdom
Kerryl E. Piper United States
Hisakazu Yano Japan
A.H.C. Uttley United Kingdom
Eva Leitner relative to Andrea J. Grisold Austria Andrea J. Grisold's profile →
Citations per field
00.5×1.5×2.2×
Andrea J. Grisold · 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 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014117
2 200994
3 200284
4 201471
5 201267
6 200965
7 201261
8 201056
9 201054
10 201052
11 201246
12 201446
13 201039
14 201239
15 200638
16 200938
17 201236
18 201436
19 202336
20 201433

About Eva Leitner

Eva Leitner is a scholar working on Molecular Medicine, Clinical Biochemistry, Infectious Diseases, Endocrinology and Microbiology, having authored 70 papers that have together received 1.7k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (20 papers), Bacterial Identification and Susceptibility Testing (18 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Clostridium difficile and Clostridium perfringens research (7 papers), Sepsis Diagnosis and Treatment (5 papers), Enterobacteriaceae and Cronobacter Research (5 papers), Infection Control in Healthcare (4 papers) and Actinomycetales infections and treatment (3 papers). The work is most often cited by research in Molecular Medicine (523 citations), Clinical Biochemistry (158 citations), Applied Microbiology and Biotechnology (65 citations), Endocrinology (105 citations) and Infectious Diseases (384 citations). Eva Leitner has collaborated with scholars based in Austria, Germany and Switzerland. Frequent co-authors include Andrea J. Grisold, Gebhard Feierl, Martin Hoenigl, Gernot Zarfel, Ines Zollner‐Schwetz, Egon Marth, Thomas Valentin, Robert Krause, Harald H. Kessler and Reinhard Bernd Raggam. 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 American Journal of Infection Control.

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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