William P. Hausdorff

9.2k citations
104 papers · 7.2k indexed · 4 hit papers · h-index 35
Topics
Pneumonia and Respiratory Infections (57 papers)Respiratory viral infections research (37 papers)Bacterial Infections and Vaccines (31 papers)

In The Last Decade

William P. Hausdorff

99 papers receiving 6.9k citations

Hit Papers

Turning off the signal: desensitization of β‐adrenergic r...198820262000201319902000198819892505007501000

Peers

William P. Hausdorff
Comparison fields: 5 of 128
  • Epidemiology 3.3k
  • Molecular Biology 2.8k
  • Microbiology 1.8k
  • Cellular and Molecular Neuroscience 1.5k
  • Pulmonary and Respiratory Medicine 495
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Citations per field
00.5×11.3×
Kurt Olsen · 1×
Citations per year

Countries citing papers authored by William P. Hausdorff

Since Specialization
Citations

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

Fields of papers citing papers by William P. Hausdorff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William P. Hausdorff. 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 William P. Hausdorff. The network helps show where William P. Hausdorff may publish in the future.

Co-authorship network of co-authors of William P. Hausdorff

This figure shows the co-authorship network connecting the top 25 collaborators of William P. Hausdorff. A scholar is included among the top collaborators of William P. Hausdorff based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William P. Hausdorff. William P. Hausdorff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 0
5 2
6 10
7 6
8 11
9 3
10 9
11 4
12 23
13 26
14 1
15 114
16 31
17 460
18 98
19 283
20
Two kinases mediate agonist-dependent phosphorylation and desensitization of the beta 2-adrenergic receptor.
37

About William P. Hausdorff

William P. Hausdorff is a scholar working on Microbiology, Epidemiology and Applied Microbiology and Biotechnology, having authored 104 papers that have together received 7.2k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (57 papers), Respiratory viral infections research (37 papers) and Bacterial Infections and Vaccines (31 papers). The work is most often cited by research in Microbiology (1.8k citations), Epidemiology (3.3k citations) and Cellular and Molecular Neuroscience (1.5k citations). William P. Hausdorff has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Marc G. Caron, Robert J. Lefkowitz, George R. Siber, Peter R. Paradiso, Keith P. Klugman, John Bryant, Brian F. O’Dowd, R J Lefkowitz, Daniel R. Feikin and Steven Yu. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

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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