H Pichler

20 papers receiving 231 citations

Peers

H Pichler
Comparison fields: 5 of 71
  • Molecular Medicine 41
  • Immunology and Allergy 33
  • Pharmacology 91
  • Endocrinology 22
  • Infectious Diseases 74
Replace M. J. Robinson with:
M. J. Robinson Malaysia
Martin Mayers United States
A. Michel-Nguyen France
Edris Nabizadeh Iran
Hanna Tomczak Poland
Nicole A. Slusher United States
Erik van Tilburg Bernardes Canada
Francesca Leonardis Italy
L. Christophersen Denmark
H Pichler relative to M. J. Robinson Malaysia M. J. Robinson's profile →
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Citations per year

Countries citing papers authored by H Pichler

Since Specialization
Citations

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

Fields of papers citing papers by H Pichler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197755
2 198641
3 198635
4 200330
5
[HDL cholesterol as a sensitive diagnostic parameter in malaria].
199227
6 195720
7 199918
8 197316
9 19774
10
[Clinical use of gamma-globulin].
19514
11 19684
12
[Antibiotic prophylaxis in intensive care patients].
19762
13 19671
14 19761
15
[The senile heart].
19651
16
Ceftriaxone vs. piperacillin in patients with bacterial meningitis.
19891
17 19811
18 19741
19 20041
20
Ciprofloxacin versus placebo in the treatment of acute bacterial diarrhea.
19871

About H Pichler

H Pichler is a scholar working on Epidemiology, Infectious Diseases, Pharmacology, Molecular Medicine and Food Science, having authored 22 papers that have together received 266 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (3 papers), Sepsis Diagnosis and Treatment (3 papers), Nosocomial Infections in ICU (2 papers), Salmonella and Campylobacter epidemiology (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Hematological disorders and diagnostics (2 papers), Amino Acid Enzymes and Metabolism (2 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). The work is most often cited by research in Molecular Medicine (41 citations), Immunology and Allergy (33 citations), Pharmacology (91 citations), Endocrinology (22 citations) and Infectious Diseases (74 citations). H Pichler has collaborated with scholars based in Austria and Germany. Frequent co-authors include Douglas C. Wolf, Alexander Röth, H Ebner, P Mischer, Dietrich Kraft, H. Bornschein, Wayne Hogrefe, Josef Tomasits, H Knothe and Helmut K. Mayer. Their work appears in journals such as European Journal of Clinical Microbiology & Infectious Diseases, Infection, Acta Oto-Laryngologica, Naunyn-Schmiedeberg s Archives of Pharmacology and Clinical & Experimental Allergy.

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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