W. Cullmann

63 papers receiving 724 citations

Peers

W. Cullmann
Comparison fields: 5 of 82
  • Molecular Medicine 543
  • Applied Microbiology and Biotechnology 73
  • Endocrinology 141
  • Pharmacology 357
  • Microbiology 13
Replace Mohamed Seif El-Din Ashour with:
Mohamed Seif El-Din Ashour Egypt
M. Michéa-Hamzehpour Switzerland
Patrick Plésiat France
Catherine Llanes France
Corey Fyfe United States
Roberta T. Mettus United States
Michael A. Zhanel Canada
Christi L. McElheny United States
Tetsuro Muratani Japan
Giovanni Bonfiglio Italy
W. Cullmann relative to Mohamed Seif El-Din Ashour Egypt Mohamed Seif El-Din Ashour's profile →
Citations per field
00.5×4.7×
Mohamed Seif El-Din Ashour · 1×
Citations per year

Countries citing papers authored by W. Cullmann

Since Specialization
Citations

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

Fields of papers citing papers by W. Cullmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991119
2 1987104
3 198561
4 198737
5 199132
6 199331
7 199021
8 199120
9 199218
10 199318
11 199618
12 198218
13 198817
14 198616
15 199215
16 199014
17 199214
18 198414
19
Complement, coagulation and fibrinolytic parameters in hereditary angioedema (HAE).
198214
20 198314

About W. Cullmann

W. Cullmann is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology, Pharmacology, Endocrinology and Microbiology, having authored 74 papers that have together received 804 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (47 papers), Antibiotics Pharmacokinetics and Efficacy (32 papers), Pneumonia and Respiratory Infections (12 papers), Antibiotic Use and Resistance (8 papers), Pharmaceutical and Antibiotic Environmental Impacts (7 papers), Bacterial biofilms and quorum sensing (6 papers), Antimicrobial Resistance in Staphylococcus (6 papers) and Pneumocystis jirovecii pneumonia detection and treatment (5 papers). The work is most often cited by research in Molecular Medicine (543 citations), Applied Microbiology and Biotechnology (73 citations), Endocrinology (141 citations), Pharmacology (357 citations) and Microbiology (13 citations). W. Cullmann has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Wolfgang R. Dick, W. Opferkuch, Hermann Leying, A. Dalhoff, D. Elhardt, Sebastian Wendt, Heinrich Urwyler, M. Edelmann, E. Weidekamm and A. M. Geddes. Their work appears in journals such as Chemotherapy, European Journal of Clinical Microbiology & Infectious Diseases, Clinical Chemistry and Laboratory Medicine (CCLM), Antimicrobial Agents and Chemotherapy and International Journal of Antimicrobial Agents.

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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