Richard Wagner

2.9k citations
8 papers · 2.2k indexed · 2 hit papers · h-index 8
Topics
Estrogen and related hormone effects (4 papers)Retinoids in leukemia and cellular processes (4 papers)Diabetes and associated disorders (2 papers)

In The Last Decade

Richard Wagner

8 papers receiving 2.1k citations

Hit Papers

Structure and specificity of nuclear receptor–coactivator...199520262005201519981995250500750

Peers

Richard Wagner
Comparison fields: 5 of 94
  • Genetics 1.5k
  • Molecular Biology 1.4k
  • Endocrinology, Diabetes and Metabolism 663
  • Cellular and Molecular Neuroscience 291
  • Oncology 210
Replace James W. Apriletti with:
James W. Apriletti United States
Gabriela N. Lopez United States
Sophie Dauvois Canada
George F. Allan United States
Beatrice Darimont United States
Jean Bowler United Kingdom
V Vivat France
George J. Cullinan United States
Eric A. Ariazi United States
Dujin Zhou United States
Richard Wagner relative to James W. Apriletti United States James W. Apriletti's profile →
Citations per field
00.5×1.5×
James W. Apriletti · 1×
Citations per year

Countries citing papers authored by Richard Wagner

Since Specialization
Citations

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

Fields of papers citing papers by Richard Wagner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Wagner

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Wagner. A scholar is included among the top collaborators of Richard Wagner 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 Richard Wagner. Richard Wagner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 42
2
Structure and specificity of nuclear receptor–coactivator interactionsbreakdown →
784
3 479
4
A structural role for hormone in the thyroid hormone receptorbreakdown →
752
5
Art and Politics
14
6 35
7 41
8 42

About Richard Wagner

Richard Wagner is a scholar working on Music, Endocrinology, Diabetes and Metabolism and Genetics, having authored 8 papers that have together received 2.2k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), Retinoids in leukemia and cellular processes (4 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Genetics (1.5k citations), Endocrinology, Diabetes and Metabolism (663 citations) and Molecular Biology (1.4k citations). Richard Wagner has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Robert J. Fletterick, James W. Apriletti, John D. Baxter, Brian L. West, Peter J. Kushner, Mary E. McGrath, Keith R. Yamamoto, Beatrice Darimont, Michael R. Stallcup and Weijun Feng. Their work appears in journals such as Nature, Science and Genes & Development.

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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