William L. Hayton
- Molecular Biology top 10%
- Health, Toxicology and Mutagenesis top 1%
- Radiology, Nuclear Medicine and Imaging top 5%
- Pharmacology top 2%
- Pollution top 2%
- Co-authors
- Mace G. BarronClark L. AndersonJohn M. RobinsonGuy R. StehlyDerry C. RoopenianChaity ChaudhurySamina MehnazDennis K. Pearl
- Topics
- Environmental Toxicology and Ecotoxicology (21 papers)Antibiotics Pharmacokinetics and Efficacy (18 papers)Drug Transport and Resistance Mechanisms (14 papers)
- Partner nations
- United StatesSwitzerlandIndia
In The Last Decade
William L. Hayton
111 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 724
- Health, Toxicology and Mutagenesis 712
- Radiology, Nuclear Medicine and Imaging 512
- Pharmacology 430
- Pollution 403
Countries citing papers authored by William L. Hayton
This map shows the geographic impact of William L. Hayton'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 L. Hayton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William L. Hayton more than expected).
Fields of papers citing papers by William L. Hayton
This network shows the impact of papers produced by William L. Hayton. 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 L. Hayton. The network helps show where William L. Hayton may publish in the future.
Co-authorship network of co-authors of William L. Hayton
This figure shows the co-authorship network connecting the top 25 collaborators of William L. Hayton. A scholar is included among the top collaborators of William L. Hayton 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 L. Hayton. William L. Hayton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 57 | |
| 3 | 24 | |
| 4 | 11 | |
| 5 | 20 | |
| 6 | 16 | |
| 7 | 118 | |
| 8 | The Major Histocompatibility Complex–related Fc Receptor for IgG (FcRn) Binds Albumin and Prolongs Its Lifespanbreakdown → | 508 |
| 9 | 11 | |
| 10 | 16 | |
| 11 | 72 | |
| 12 | 2 | |
| 13 | 11 | |
| 14 | 13 | |
| 15 | 8 | |
| 16 | 3 | |
| 17 | 55 | |
| 18 | 2 | |
| 19 | 54 | |
| 20 | 38 |
About William L. Hayton
William L. Hayton is a scholar working on Health, Toxicology and Mutagenesis, Physiology and Pharmacology, having authored 115 papers that have together received 3.2k indexed citations. Recurring topics across this work include Environmental Toxicology and Ecotoxicology (21 papers), Antibiotics Pharmacokinetics and Efficacy (18 papers) and Drug Transport and Resistance Mechanisms (14 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (712 citations), Pollution (403 citations) and Equine (54 citations). William L. Hayton has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Mace G. Barron, Clark L. Anderson, John M. Robinson, Guy R. Stehly, Derry C. Roopenian, Chaity Chaudhury, Samina Mehnaz, Dennis K. Pearl, Irvin R. Schultz and Jonghan Kim. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology and Diabetes.
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.