Eva Leitner

77 papers receiving 1.8k citations

Peers

Eva Leitner
Comparison fields: 5 of 108
  • Molecular Medicine 538
  • Applied Microbiology and Biotechnology 122
  • Clinical Biochemistry 347
  • Endocrinology 238
  • Infectious Diseases 414
Replace François Guérin with:
François Guérin France
Denis Spelman Australia
Chyi‐Liang Chen Taiwan
Wen‐Liang Yu Taiwan
Murray A. Abramson United States
Kazunori Tomono Japan
Andrea Grisold Austria
Marı́a Pérez-Vázquez Spain
Erik Bathoorn Netherlands
Han-Sung Kim South Korea
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 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983255
2 2014100
3 200994
4 200276
5 200963
6 201261
7 201461
8 201257
9 199746
10 201244
11 201044
12 201043
13 201442
14 200937
15 201236
16 201235
17 202334
18 201434
19 200634
20 201031

About Eva Leitner

Eva Leitner is a scholar working on Molecular Medicine, Infectious Diseases, Clinical Biochemistry, Epidemiology and Molecular Biology, having authored 81 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (27 papers), Bacterial Identification and Susceptibility Testing (22 papers), Antimicrobial Resistance in Staphylococcus (13 papers), Streptococcal Infections and Treatments (9 papers), Clostridium difficile and Clostridium perfringens research (8 papers), Genomics and Phylogenetic Studies (6 papers), Mycobacterium research and diagnosis (6 papers) and Sepsis Diagnosis and Treatment (6 papers). The work is most often cited by research in Molecular Medicine (538 citations), Applied Microbiology and Biotechnology (122 citations), Clinical Biochemistry (347 citations), Endocrinology (238 citations) and Infectious Diseases (414 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, Robert Krause, Harald H. Kessler, Rolf Schröder 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 Journal of Infection.

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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