W. Cullmann

58 papers receiving 479 citations

Peers

W. Cullmann
Comparison fields: 5 of 75
  • Molecular Medicine 335
  • Applied Microbiology and Biotechnology 46
  • Microbiology 13
  • Pharmacology 224
  • Endocrinology 68
Replace M. Michéa-Hamzehpour with:
M. Michéa-Hamzehpour Switzerland
Xun Tao United States
Henrietta Abodakpi United States
Nikolaos A. Triarides United States
Kai‐Tai Chang United States
Yuarn‐Jang Lee Taiwan
Michael A. Zhanel Canada
Georgios L. Voulgaris Greece
Chun-Eng Liu Taiwan
Y Mine Japan
W. Cullmann relative to M. Michéa-Hamzehpour Switzerland M. Michéa-Hamzehpour's profile →
Citations per field
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M. Michéa-Hamzehpour · 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 1987111
2 200961
3 198737
4 199331
5 199321
6 198219
7 199218
8 199216
9 198415
10 198314
11
Complement, coagulation and fibrinolytic parameters in hereditary angioedema (HAE).
198214
12 198713
13 198713
14 199010
15 19829
16 19858
17 19838
18 19818
19 20097
20 20096

About W. Cullmann

W. Cullmann is a scholar working on Molecular Medicine, Pharmacology, Molecular Biology, Epidemiology and Infectious Diseases, having authored 74 papers that have together received 543 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), Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial biofilms and quorum sensing (6 papers) and Phenothiazines and Benzothiazines Synthesis and Activities (5 papers). The work is most often cited by research in Molecular Medicine (335 citations), Applied Microbiology and Biotechnology (46 citations), Microbiology (13 citations), Pharmacology (224 citations) and Endocrinology (68 citations). W. Cullmann has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Wolfgang R. Dick, W. Opferkuch, Hermann Leying, A. Dalhoff, D. Elhardt, Sebastian Wendt, Heinrich Urwyler, M. Edelmann, A. M. Geddes and J. Knöller. Their work appears in journals such as Chemotherapy, European Journal of Clinical Microbiology & Infectious Diseases, International Journal of Antimicrobial Agents, Clinical Chemistry and Laboratory Medicine (CCLM) and Antimicrobial Agents and Chemotherapy.

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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