Douglas S. Darling

8.2k citations
90 papers · 6.5k indexed · 2 hit papers · h-index 41
Topics
Estrogen and related hormone effects (21 papers)Thyroid Disorders and Treatments (18 papers)Glycosylation and Glycoproteins Research (11 papers)
Partner nations
United StatesSpainJapan

In The Last Decade

Douglas S. Darling

88 papers receiving 6.4k citations

Hit Papers

The EMT-activator ZEB1 promotes tumorigenicity by repress...2009202620142020200920124008001.2k

Peers

Douglas S. Darling
Comparison fields: 5 of 139
  • Molecular Biology 4.1k
  • Genetics 1.6k
  • Oncology 1.6k
  • Cancer Research 1.4k
  • Endocrinology, Diabetes and Metabolism 1.3k
Replace Martin Tenniswood with:
Martin Tenniswood United States
Mona Nemer Canada
Johannes Nimpf Austria
Ludger Klein‐Hitpaß Germany
Stefano Stifani Canada
Enzo Lalli France
Gabriel E. DiMattia Canada
Matthew M. Rechler United States
Martin Petkovich Canada
Gérard Gradwohl France
Douglas S. Darling relative to Martin Tenniswood United States Martin Tenniswood's profile →
Citations per field
00.5×2.6×
Martin Tenniswood · 1×
Citations per year

Countries citing papers authored by Douglas S. Darling

Since Specialization
Citations

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

Fields of papers citing papers by Douglas S. Darling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Douglas S. Darling. 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 Douglas S. Darling. The network helps show where Douglas S. Darling may publish in the future.

Co-authorship network of co-authors of Douglas S. Darling

This figure shows the co-authorship network connecting the top 25 collaborators of Douglas S. Darling. A scholar is included among the top collaborators of Douglas S. Darling 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 Douglas S. Darling. Douglas S. Darling 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 7
2 42
3 75
4 32
5 9
6 55
7 4
8 89
9 67
10 28
11 117
12 16
13 9
14 51
15 42
16 31
17 84
18 8
19 20
20
Thyroid Function during Smoltification of Salmonid Fish
30

About Douglas S. Darling

Douglas S. Darling is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology, having authored 90 papers that have together received 6.5k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (21 papers), Thyroid Disorders and Treatments (18 papers) and Glycosylation and Glycoproteins Research (11 papers). The work is most often cited by research in Cancer Research (1.4k citations), Endocrinology, Diabetes and Metabolism (1.3k citations) and Molecular Biology (4.1k citations). Douglas S. Darling has collaborated with scholars based in United States, Spain and Japan. Frequent co-authors include William W. Chin, Mitchell A. Lazar, Richard A. Hodin, Joan Burnside, Douglas C. Dean, Yongqing Liu, Antonio Postigo, Yujiro Higashi, Laura Siles and Ronald J. Koenig. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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