D. Häfner

70 papers receiving 1.6k citations

Peers

D. Häfner
Comparison fields: 5 of 129
  • Molecular Medicine 168
  • Clinical Biochemistry 172
  • Applied Microbiology and Biotechnology 40
  • Infectious Diseases 306
  • Endocrinology 66
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Countries citing papers authored by D. Häfner

Since Specialization
Citations

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

Fields of papers citing papers by D. Häfner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199196
2 198896
3 200388
4 200387
5 199665
6
Antitumor activity of anti-epidermal growth factor receptor monoclonal antibodies and cisplatin in ten human head and neck squamous cell carcinoma lines.
199861
7
Mathematical analysis of concentration-response relationships. Method for the evaluation of the ED50 and the number of binding sites per receptor molecule using the logit transformation.
197758
8 199456
9 200455
10 198954
11 200052
12 200850
13 199950
14 199747
15 199646
16 198945
17 200240
18 200039
19 200538
20 201335

About D. Häfner

D. Häfner is a scholar working on Molecular Medicine, Clinical Biochemistry, Cardiology and Cardiovascular Medicine, Infectious Diseases and Health, Toxicology and Mutagenesis, having authored 73 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (16 papers), Ion channel regulation and function (13 papers), Antimicrobial Resistance in Staphylococcus (12 papers), Antibiotic Resistance in Bacteria (11 papers), Neuroscience and Neural Engineering (8 papers), Heavy Metal Exposure and Toxicity (7 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers) and Bacterial Identification and Susceptibility Testing (7 papers). The work is most often cited by research in Molecular Medicine (168 citations), Clinical Biochemistry (172 citations), Applied Microbiology and Biotechnology (40 citations), Infectious Diseases (306 citations) and Endocrinology (66 citations). D. Häfner has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include U. Borchard, Michael Kresken, F. Berger, Michael Wilhelm, I. Lombeck, Franz‐Josef Schmitz, Thomas K. Hoffmann, H. Bier, Bodo E. Strauer and Malte Kelm. Their work appears in journals such as Naunyn-Schmiedeberg s Archives of Pharmacology, Inflammation Research, International Journal of Antimicrobial Agents, Basic Research in Cardiology and Journal of Clinical Microbiology.

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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