MARILYN C. SKERDA
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Genetics
- Reproductive Medicine top 5%
- Pediatrics, Perinatology and Child Health
- Co-authors
- Fernando CassorlaD. Lynn LoriauxGordon B. CutlerJudith L. RossOra Hirsch PescovitzLauren LongManuela Caruso‐NicolettiFlorence Comite
- Topics
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers)Sexual Differentiation and Disorders (4 papers)Hypothalamic control of reproductive hormones (4 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismThe Journal of PediatricsPediatric Research
- Partner nations
- United StatesHungaryNetherlands
In The Last Decade
MARILYN C. SKERDA
10 papers receiving 399 citations
Peers
Comparison fields: 5 of 60
- Endocrinology, Diabetes and Metabolism 237
- Molecular Biology 209
- Genetics 175
- Reproductive Medicine 144
- Pediatrics, Perinatology and Child Health 42
Countries citing papers authored by MARILYN C. SKERDA
This map shows the geographic impact of MARILYN C. SKERDA'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 MARILYN C. SKERDA with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites MARILYN C. SKERDA more than expected).
Fields of papers citing papers by MARILYN C. SKERDA
This network shows the impact of papers produced by MARILYN C. SKERDA. 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 MARILYN C. SKERDA. The network helps show where MARILYN C. SKERDA may publish in the future.
Co-authorship network of co-authors of MARILYN C. SKERDA
This figure shows the co-authorship network connecting the top 25 collaborators of MARILYN C. SKERDA. A scholar is included among the top collaborators of MARILYN C. SKERDA 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 MARILYN C. SKERDA. MARILYN C. SKERDA is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 78 | |
| 2 | 18 | |
| 3 | 42 | |
| 4 | 84 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 55 | |
| 8 | 1 | |
| 9 | 42 | |
| 10 | 107 | |
| 11 | 3 |
About MARILYN C. SKERDA
MARILYN C. SKERDA is a scholar working on Reproductive Medicine, Genetics and Endocrinology, Diabetes and Metabolism, having authored 11 papers that have together received 434 indexed citations. Recurring topics across this work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers), Sexual Differentiation and Disorders (4 papers) and Hypothalamic control of reproductive hormones (4 papers). The work is most often cited by research in Reproductive Medicine (144 citations), Endocrinology, Diabetes and Metabolism (237 citations) and Genetics (175 citations). MARILYN C. SKERDA has collaborated with scholars based in United States, Hungary and Netherlands. Frequent co-authors include Fernando Cassorla, D. Lynn Loriaux, Gordon B. Cutler, Judith L. Ross, Ora Hirsch Pescovitz, Lauren Long, Manuela Caruso‐Nicoletti, Florence Comite, Karen Hench and Mark A. Sperling. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, The Journal of Pediatrics and Pediatric Research.
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.