Sam Pino
- Endocrinology, Diabetes and Metabolism top 1%
- Health, Toxicology and Mutagenesis top 2%
- Pediatrics, Perinatology and Child Health top 2%
- Developmental Neuroscience top 5%
- Nutrition and Dietetics top 10%
- Co-authors
- Lewis E. BravermanElizabeth N. PearceXuemei HeJane TeasAlan T. CritchleyH R BazrafshanJoseph G. HollowellSteven H. Lamm
- Topics
- Thyroid Disorders and Treatments (10 papers)Chemical Analysis and Environmental Impact (7 papers)Neonatal Health and Biochemistry (5 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismDevelopmental NeuroscienceHealth, Toxicology and Mutagenesis
- Partner nations
- United StatesIranAustralia
In The Last Decade
Sam Pino
19 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 113
- Endocrinology, Diabetes and Metabolism 791
- Health, Toxicology and Mutagenesis 506
- Pediatrics, Perinatology and Child Health 413
- Developmental Neuroscience 154
- Nutrition and Dietetics 126
Countries citing papers authored by Sam Pino
This map shows the geographic impact of Sam Pino'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 Sam Pino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Pino more than expected).
Fields of papers citing papers by Sam Pino
This network shows the impact of papers produced by Sam Pino. 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 Sam Pino. The network helps show where Sam Pino may publish in the future.
Co-authorship network of co-authors of Sam Pino
This figure shows the co-authorship network connecting the top 25 collaborators of Sam Pino. A scholar is included among the top collaborators of Sam Pino 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 Sam Pino. Sam Pino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 98 | |
| 3 | 1 | |
| 4 | 24 | |
| 5 | 56 | |
| 6 | 10 | |
| 7 | 136 | |
| 8 | 57 | |
| 9 | 121 | |
| 10 | 183 | |
| 11 | 164 | |
| 12 | 13 | |
| 13 | 81 | |
| 14 | 39 | |
| 15 | 93 | |
| 16 | 289 | |
| 17 | 44 | |
| 18 | 17 | |
| 19 | 49 |
About Sam Pino
Sam Pino is a scholar working on Developmental Neuroscience, Endocrinology, Diabetes and Metabolism and Health, Toxicology and Mutagenesis, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (10 papers), Chemical Analysis and Environmental Impact (7 papers) and Neonatal Health and Biochemistry (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (791 citations), Developmental Neuroscience (154 citations) and Health, Toxicology and Mutagenesis (506 citations). Sam Pino has collaborated with scholars based in United States, Iran and Australia. Frequent co-authors include Lewis E. Braverman, Elizabeth N. Pearce, Xuemei He, Jane Teas, Alan T. Critchley, H R Bazrafshan, Joseph G. Hollowell, Steven H. Lamm, Stephanie L. Lee and Dayton T. Miller. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and Clinical Chemistry.
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.