Gene B. Fuller
- Endocrinology, Diabetes and Metabolism top 10%
- Reproductive Medicine top 5%
- Genetics
- Health, Toxicology and Mutagenesis top 10%
- Molecular Biology
- Co-authors
- W. HobsonCharles FaimanJeremy S.D. WinterWilliam HanselF. I. ReyesF. KörteJohn R. BaileyWolfgang Knauf
- Topics
- Hypothalamic control of reproductive hormones (10 papers)Stress Responses and Cortisol (6 papers)Ovarian function and disorders (6 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Gene B. Fuller
30 papers receiving 448 citations
Peers
Comparison fields: 5 of 85
- Endocrinology, Diabetes and Metabolism 123
- Reproductive Medicine 105
- Genetics 87
- Health, Toxicology and Mutagenesis 74
- Molecular Biology 64
Countries citing papers authored by Gene B. Fuller
This map shows the geographic impact of Gene B. Fuller'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 Gene B. Fuller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gene B. Fuller more than expected).
Fields of papers citing papers by Gene B. Fuller
This network shows the impact of papers produced by Gene B. Fuller. 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 Gene B. Fuller. The network helps show where Gene B. Fuller may publish in the future.
Co-authorship network of co-authors of Gene B. Fuller
This figure shows the co-authorship network connecting the top 25 collaborators of Gene B. Fuller. A scholar is included among the top collaborators of Gene B. Fuller 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 Gene B. Fuller. Gene B. Fuller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Pharmacokinetic features, immunogenicity, and toxicity of B43(anti-CD19)-pokeweed antiviral protein immunotoxin in cynomolgus monkeys. | 26 |
| 2 | 13 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 24 | |
| 6 | 14 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 45 | |
| 10 | 9 | |
| 11 | 3 | |
| 12 | 25 | |
| 13 | 10 | |
| 14 | Increased fertility in rhesus monkeys by breeding after the preovulatory LH surge. | 1 |
| 15 | 3 | |
| 16 | 14 | |
| 17 | 11 | |
| 18 | 16 | |
| 19 | 32 | |
| 20 | 0 |
About Gene B. Fuller
Gene B. Fuller is a scholar working on Behavioral Neuroscience, Reproductive Medicine and Agronomy and Crop Science, having authored 31 papers that have together received 473 indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (10 papers), Stress Responses and Cortisol (6 papers) and Ovarian function and disorders (6 papers). The work is most often cited by research in Behavioral Neuroscience (60 citations), Reproductive Medicine (105 citations) and Endocrinology, Diabetes and Metabolism (123 citations). Gene B. Fuller has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include W. Hobson, Charles Faiman, Jeremy S.D. Winter, William Hansel, F. I. Reyes, F. Körte, John R. Bailey, Wolfgang Knauf, F. Coulston and W. Müller. Their work appears in journals such as Endocrinology, Pharmaceutical Research and Biology of Reproduction.
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.