G. Marklein

2.3k citations
54 papers · 1.7k indexed · h-index 20

Impact in

    • Bacterial Identification and Susceptibility Testing
    • Antifungal resistance and susceptibility
    • Clostridium difficile and Clostridium perfringens research

Papers in

G. Marklein

52 papers receiving 1.7k citations

Peers

G. Marklein
Comparison fields: 5 of 106
  • Clinical Biochemistry 442
  • Infectious Diseases 851
  • Epidemiology 948
  • Endocrinology 135
  • Microbiology 18
Replace E. Nagy with:
E. Nagy Hungary
Plı́nio Trabasso Brazil
Chris Kosmidis United Kingdom
Kotaro Mitsutake Japan
B. Lebeau France
Soo Hyun Kim South Korea
Franklin P. Koontz United States
Geoffrey A. Land United States
Y. J. Debets-Ossenkopp Netherlands
Elizabeth Palavecino United States
G. Marklein relative to E. Nagy Hungary E. Nagy's profile →
Citations per field
00.5×1.5×
E. Nagy · 1×
Citations per year

Countries citing papers authored by G. Marklein

Since Specialization
Citations

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

Fields of papers citing papers by G. Marklein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009360
2 1999120
3 2001119
4 2004116
5 2009108
6 201080
7 199972
8 200272
9 200267
10 199848
11 199641
12 200840
13 200136
14 200835
15 200130
16 200229
17 199828
18 200323
19 200923
20 200822

About G. Marklein

G. Marklein is a scholar working on Endocrinology, Microbiology, Clinical Biochemistry, Infectious Diseases and Oncology, having authored 54 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neutropenia and Cancer Infections (17 papers), Antifungal resistance and susceptibility (15 papers), Fungal Infections and Studies (14 papers), Bacterial Identification and Susceptibility Testing (8 papers), Gallbladder and Bile Duct Disorders (4 papers), Pediatric Hepatobiliary Diseases and Treatments (4 papers), Blood disorders and treatments (4 papers) and Plant Pathogens and Fungal Diseases (3 papers). The work is most often cited by research in Clinical Biochemistry (442 citations), Infectious Diseases (851 citations), Epidemiology (948 citations), Endocrinology (135 citations) and Microbiology (18 citations). G. Marklein has collaborated with scholars based in Germany, Netherlands and Czechia. Frequent co-authors include Axel Glasmacher, R. Horré, Tilman Sauerbruch, Ernst Molitor, Christian Hahn, Ingo G.H. Schmidt‐Wolf, Markus Kostrzewa, T. Maier, Thomas J. Wenzel and Michaele Josten. Their work appears in journals such as Mycoses, Infection, Respiration, Medical Mycology and Langenbeck s Archives of Surgery.

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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