Maria Waldhoer

5.4k citations
56 papers · 4.4k indexed · 1 hit paper · h-index 34

Maria Waldhoer

55 papers receiving 4.3k citations

Hit Papers

Opioid Receptors20042026201120182004100200300400500

Peers

Maria Waldhoer
Comparison fields: 5 of 109
  • Molecular Biology 2.3k
  • Cellular and Molecular Neuroscience 1.9k
  • Pharmacology 1.1k
  • Surgery 565
  • Physiology 521
Replace Terence E. Hébert with:
Terence E. Hébert Canada
Siew Yeen Chai Australia
Hermann Lübbert Germany
Marco Parenti Italy
Hiroyuki Sakagami Japan
Douglas E. Brenneman United States
Yugo Habata Japan
Y. Urade Japan
Shoji Fukusumi Japan
Sudha K. Shenoy United States
Maria Waldhoer relative to Terence E. Hébert Canada Terence E. Hébert's profile →
Citations per field
00.5×2.8×
Terence E. Hébert · 1×
Citations per year

Countries citing papers authored by Maria Waldhoer

Since Specialization
Citations

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

Fields of papers citing papers by Maria Waldhoer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Waldhoer

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Waldhoer. A scholar is included among the top collaborators of Maria Waldhoer 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 Maria Waldhoer. Maria Waldhoer 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 12
2 13
3 125
4 76
5 43
6 27
7 22
8 171
9 6
10 40
11 76
12
A signaling mute hCMV chemokine receptor prevents melanoma growth
1
13 61
14
The signaling mute hCMV chemokine receptor US28R129A prevents melanoma growth
1
15 66
16 93
17 48
18 26
19 117
20 25

About Maria Waldhoer

Maria Waldhoer is a scholar working on Physiology, Cellular and Molecular Neuroscience and Pharmacology, having authored 56 papers that have together received 4.4k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (29 papers), Neuropeptides and Animal Physiology (14 papers) and Pancreatic function and diabetes (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.9k citations), Pharmacology (1.1k citations) and Physiology (270 citations). Maria Waldhoer has collaborated with scholars based in Austria, United States and Denmark. Frequent co-authors include Jennifer L. Whistler, Selena E. Bartlett, Nariman Balenga, Julia Kargl, Evi Kostenis, Christopher M. Henstridge, Christian Nanoff, Michael Freissmuth, Thue W. Schwartz and Andrew J. Irving. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Annual Review of Biochemistry.

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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