Andrew Dauber

6.4k citations
109 papers · 2.8k indexed · h-index 31
Topics
Growth Hormone and Insulin-like Growth Factors (33 papers)Genetic Syndromes and Imprinting (17 papers)Connective tissue disorders research (13 papers)

In The Last Decade

Andrew Dauber

105 papers receiving 2.7k citations

Peers

Andrew Dauber
Comparison fields: 5 of 115
  • Genetics 1.3k
  • Molecular Biology 1.3k
  • Endocrinology, Diabetes and Metabolism 962
  • Pediatrics, Perinatology and Child Health 354
  • Pathology and Forensic Medicine 241
Replace Jan Lebl with:
Jan Lebl Czechia
Emanuele Ferrante Italy
U. Heinrich Germany
M. Jansen Netherlands
Naomi Hizuka Japan
Horacio M. Domené Argentina
Laura Alonso United States
Lars Hagenäs Sweden
R Rappaport France
Tülay Güran Türkiye
Andrew Dauber relative to Jan Lebl Czechia Jan Lebl's profile →
Citations per field
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Citations per year

Countries citing papers authored by Andrew Dauber

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Dauber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Dauber

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Dauber. A scholar is included among the top collaborators of Andrew Dauber 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 Andrew Dauber. Andrew Dauber 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 4
2 4
3 1
4 0
5 2
6 7
7 14
8 1
9 4
10 14
11 9
12 5
13 91
14 13
15 28
16 79
17 56
18 58
19 56
20
[The incidence of postoperative pain on general surgical wards. Results of different evaluation procedures].
8

About Andrew Dauber

Andrew Dauber is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology, having authored 109 papers that have together received 2.8k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (33 papers), Genetic Syndromes and Imprinting (17 papers) and Connective tissue disorders research (13 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (962 citations), Genetics (1.3k citations) and Reproductive Medicine (223 citations). Andrew Dauber has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Joel N. Hirschhorn, Ron G. Rosenfeld, Vivian Hwa, Ola Nilsson, Michael H. Guo, Jeffrey Baron, Jan M. Wit, Jennifer Moon, Moshe Phillip and Lars Sävendahl. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and Gastroenterology.

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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