G. Marklein

2.3k citations
53 papers · 1.7k · h-index 20

Impact in

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

Papers in

G. Marklein

50 papers receiving 1.6k citations

Peers

G. Marklein
Comparison fields: 5 of 98
  • Clinical Biochemistry 370
  • Infectious Diseases 770
  • Endocrinology 120
  • Microbiology 17
  • Epidemiology 693
Replace Pietro Martino with:
Pietro Martino Italy
P. Martino Italy
E. Nagy Hungary
Kotaro Mitsutake Japan
Masafumi Seki Japan
Geoffrey A. Land United States
Plı́nio Trabasso Brazil
Chris Kosmidis United Kingdom
Katsuko Okuzumi Japan
Franklin P. Koontz United States
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Citations per field
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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 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009362
2 1999121
3 2001119
4 2004116
5 2009108
6 201080
7 200273
8 199972
9 200267
10 199848
11 200840
12 200837
13 200136
14 200130
15 200229
16 199828
17 200823
18 200323
19 200923
20 200719

About G. Marklein

G. Marklein is a scholar working on Epidemiology, Infectious Diseases, Oncology, Pulmonary and Respiratory Medicine and Surgery, having authored 53 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neutropenia and Cancer Infections (15 papers), Antifungal resistance and susceptibility (13 papers), Fungal Infections and Studies (12 papers), Bacterial Identification and Susceptibility Testing (5 papers), Pediatric Hepatobiliary Diseases and Treatments (4 papers), Gallbladder and Bile Duct Disorders (4 papers), Biliary and Gastrointestinal Fistulas (3 papers) and Plant Pathogens and Fungal Diseases (3 papers). The work is most often cited by research in Clinical Biochemistry (370 citations), Infectious Diseases (770 citations), Endocrinology (120 citations), Microbiology (17 citations) and Epidemiology (693 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, Michaele Josten, Marie von Lilienfeld‐Toal, Gabriele Bierbaum and Hans Georg Sahl. 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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