Brandon Wadas
Impact in
- Reproductive Medicine top 10%
- Hypothalamic control of reproductive hormones
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- Peptidase Inhibition and Analysis
Papers in
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- Ubiquitin and proteasome pathways 6
- Signaling Pathways in Disease 2
- Oncology 5
- Peptidase Inhibition and Analysis 5
- Co-authors
- Alexander Varshavsky (6 shared papers)Shun‐Jia Chen (1 shared paper)Jang‐Hyun Oh (1 shared paper)Hanna Cho (1 shared paper)Jeong‐Mok Kim (1 shared paper)Seon‐Young Kim (1 shared paper)Stéphanie Constantin (1 shared paper)Allan E. Herbison (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Endocrinology (2 papers)Science (2 papers)Journal of Neuroendocrinology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesSouth KoreaRussia
In The Last Decade
Brandon Wadas
10 papers receiving 429 citations
Peers
Comparison fields: 5 of 59
- Reproductive Medicine 59
- Oncology 182
- Molecular Biology 345
- Behavioral Neuroscience 7
- Endocrine and Autonomic Systems 13
Countries citing papers authored by Brandon Wadas
This map shows the geographic impact of Brandon Wadas'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 Brandon Wadas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brandon Wadas more than expected).
Fields of papers citing papers by Brandon Wadas
This network shows the impact of papers produced by Brandon Wadas. 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 Brandon Wadas. The network helps show where Brandon Wadas may publish in the future.
Co-authors
The 25 scholars most cited alongside Brandon Wadas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 157 | |
| 2 | 2015 | 122 | |
| 3 | 2009 | 40 | |
| 4 | 2008 | 30 | |
| 5 | 2016 | 23 | |
| 6 | 2016 | 20 | |
| 7 | 2014 | 17 | |
| 8 | 2016 | 15 | |
| 9 | 2010 | 5 | |
| 10 | Hypogonadal Mice in Size and Distribution in GnRH-Deficient and GnRH Receptor-Mutant The Gonadotropin-Releasing Hormone (GnRH) Neuronal Population Is Normal | 2008 | 1 |
About Brandon Wadas
Brandon Wadas is a scholar working on Molecular Biology, Oncology, Reproductive Medicine, Animal Science and Zoology and Genetics, having authored 10 papers that have together received 430 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Peptidase Inhibition and Analysis (5 papers), Hypothalamic control of reproductive hormones (4 papers), Signaling Pathways in Disease (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Ovarian function and disorders (1 paper), Animal Nutrition and Physiology (1 paper) and Menstrual Health and Disorders (1 paper). The work is most often cited by research in Reproductive Medicine (59 citations), Oncology (182 citations), Molecular Biology (345 citations), Behavioral Neuroscience (7 citations) and Endocrine and Autonomic Systems (13 citations). Brandon Wadas has collaborated with scholars based in United States, South Korea and Russia. Frequent co-authors include Alexander Varshavsky, Shun‐Jia Chen, Jang‐Hyun Oh, Hanna Cho, Jeong‐Mok Kim, Seon‐Young Kim, Stéphanie Constantin, Allan E. Herbison, Christopher S. Brower and Christine L. Jasoni. Their work appears in journals such as Journal of Biological Chemistry, Endocrinology, Science, Journal of Neuroendocrinology and Proceedings of the National Academy of Sciences.
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.