William S. Mellon
- Pathology and Forensic Medicine top 5%
- Molecular Biology
- Genetics
- Endocrinology, Diabetes and Metabolism top 10%
- Cell Biology
- Co-authors
- Hector F. DeLucaHeinrich K. SchnoesJoseph L. NapoliH. F. DeLucaYoungsook LeeGuilherme L. IndigGregory S. AndérsonMichael G. Nichols
- Topics
- Vitamin D Research Studies (13 papers)Estrogen and related hormone effects (8 papers)Hormonal Regulation and Hypertension (7 papers)
- Partner nations
- United States
In The Last Decade
William S. Mellon
34 papers receiving 503 citations
Peers
Comparison fields: 5 of 83
- Pathology and Forensic Medicine 260
- Molecular Biology 147
- Genetics 111
- Endocrinology, Diabetes and Metabolism 109
- Cell Biology 85
Countries citing papers authored by William S. Mellon
This map shows the geographic impact of William S. Mellon'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 S. Mellon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William S. Mellon more than expected).
Fields of papers citing papers by William S. Mellon
This network shows the impact of papers produced by William S. Mellon. 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 S. Mellon. The network helps show where William S. Mellon may publish in the future.
Co-authorship network of co-authors of William S. Mellon
This figure shows the co-authorship network connecting the top 25 collaborators of William S. Mellon. A scholar is included among the top collaborators of William S. Mellon 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 S. Mellon. William S. Mellon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 5 | |
| 6 | 17 | |
| 7 | 8 | |
| 8 | 9 | |
| 9 | 72 | |
| 10 | 2 | |
| 11 | 11 | |
| 12 | 11 | |
| 13 | 38 | |
| 14 | 49 | |
| 15 | 11 | |
| 16 | 1 | |
| 17 | 10 | |
| 18 | 12 | |
| 19 | 57 | |
| 20 | The interrelationship between hepatic microsomal cholesterol 7[alpha]-hydroxylase and mixed function oxidase systems / | 4 |
About William S. Mellon
William S. Mellon is a scholar working on Pathology and Forensic Medicine, Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 34 papers that have together received 539 indexed citations. Recurring topics across this work include Vitamin D Research Studies (13 papers), Estrogen and related hormone effects (8 papers) and Hormonal Regulation and Hypertension (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (260 citations), Endocrinology, Diabetes and Metabolism (109 citations) and Cell Biology (85 citations). William S. Mellon has collaborated with scholars based in United States. Frequent co-authors include Hector F. DeLuca, Heinrich K. Schnoes, Joseph L. Napoli, H. F. DeLuca, Youngsook Lee, Guilherme L. Indig, Gregory S. Andérson, Michael G. Nichols, Minoru Inaba and Jeremy A. Bartlett. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Endocrinology.
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.