FLOR L. GEOLA
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 10%
- Molecular Biology
- Cellular and Molecular Neuroscience
- Orthopedics and Sports Medicine top 10%
- Co-authors
- Jerome M. HershmanHoward L. JuddIVANNA V. TATARYNAnthony M. FrumarMohinder P. SambhiPeter EggenaDavid R. MeldrumALLAN W. REED
- Topics
- Thyroid Disorders and Treatments (5 papers)Hypothalamic control of reproductive hormones (3 papers)Receptor Mechanisms and Signaling (3 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismBrain ResearchBiochemical and Biophysical Research Communications
- Partner nations
- United States
In The Last Decade
FLOR L. GEOLA
16 papers receiving 587 citations
Peers
Comparison fields: 5 of 78
- Endocrinology, Diabetes and Metabolism 352
- Genetics 189
- Molecular Biology 113
- Cellular and Molecular Neuroscience 102
- Orthopedics and Sports Medicine 74
Countries citing papers authored by FLOR L. GEOLA
This map shows the geographic impact of FLOR L. GEOLA'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 FLOR L. GEOLA with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites FLOR L. GEOLA more than expected).
Fields of papers citing papers by FLOR L. GEOLA
This network shows the impact of papers produced by FLOR L. GEOLA. 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 FLOR L. GEOLA. The network helps show where FLOR L. GEOLA may publish in the future.
Co-authorship network of co-authors of FLOR L. GEOLA
This figure shows the co-authorship network connecting the top 25 collaborators of FLOR L. GEOLA. A scholar is included among the top collaborators of FLOR L. GEOLA 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 FLOR L. GEOLA. FLOR L. GEOLA is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | Isolated hypogonadotropic hypogonadism in male identical twins. | 1 |
| 3 | 92 | |
| 4 | 115 | |
| 5 | 51 | |
| 6 | 9 | |
| 7 | 48 | |
| 8 | 13 | |
| 9 | 6 | |
| 10 | 94 | |
| 11 | 153 | |
| 12 | Hyperthyroidism and hypothyroidism. | 2 |
| 13 | 15 | |
| 14 | 18 | |
| 15 | 21 | |
| 16 | 2 |
About FLOR L. GEOLA
FLOR L. GEOLA is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Nephrology, having authored 16 papers that have together received 654 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (5 papers), Hypothalamic control of reproductive hormones (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (352 citations), Orthopedics and Sports Medicine (74 citations) and Reproductive Medicine (65 citations). FLOR L. GEOLA has collaborated with scholars based in United States. Frequent co-authors include Jerome M. Hershman, Howard L. Judd, IVANNA V. TATARYN, Anthony M. Frumar, Mohinder P. Sambhi, Peter Eggena, David R. Meldrum, ALLAN W. REED, A. EUGENE PEKARY and Шломо Мелмед. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Brain Research and Biochemical and Biophysical Research Communications.
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.