Lawrence A. Silverman
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Reproductive Medicine top 5%
- Genetics top 10%
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Stephen M. RosenthalE. Kirk NeelyAlan D. RogolErica A. EugsterGad B. KletterStephen F. KempThomas A. WilsonDana S. Hardin
- Topics
- Growth Hormone and Insulin-like Growth Factors (15 papers)Hypothalamic control of reproductive hormones (12 papers)Sexual Differentiation and Disorders (7 papers)
- Cited by
- Reproductive MedicineEndocrinology, Diabetes and MetabolismPediatrics, Perinatology and Child Health
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Lawrence A. Silverman
32 papers receiving 656 citations
Peers
Comparison fields: 5 of 77
- Endocrinology, Diabetes and Metabolism 361
- Molecular Biology 289
- Reproductive Medicine 210
- Genetics 180
- Pediatrics, Perinatology and Child Health 145
Countries citing papers authored by Lawrence A. Silverman
This map shows the geographic impact of Lawrence A. Silverman'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 Lawrence A. Silverman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence A. Silverman more than expected).
Fields of papers citing papers by Lawrence A. Silverman
This network shows the impact of papers produced by Lawrence A. Silverman. 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 Lawrence A. Silverman. The network helps show where Lawrence A. Silverman may publish in the future.
Co-authorship network of co-authors of Lawrence A. Silverman
This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence A. Silverman. A scholar is included among the top collaborators of Lawrence A. Silverman 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 Lawrence A. Silverman. Lawrence A. Silverman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 15 | |
| 5 | 12 | |
| 6 | 51 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 23 | |
| 10 | 40 | |
| 11 | 29 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 19 | |
| 15 | 24 | |
| 16 | (Pediatric Endocrinology Reviews (2007) 4, SUPPL. 3) | 1 |
| 17 | 185 | |
| 18 | 24 | |
| 19 | 1 | |
| 20 | 5 |
About Lawrence A. Silverman
Lawrence A. Silverman is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Genetics, having authored 33 papers that have together received 670 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (15 papers), Hypothalamic control of reproductive hormones (12 papers) and Sexual Differentiation and Disorders (7 papers). The work is most often cited by research in Reproductive Medicine (210 citations), Endocrinology, Diabetes and Metabolism (361 citations) and Pediatrics, Perinatology and Child Health (145 citations). Lawrence A. Silverman has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Stephen M. Rosenthal, E. Kirk Neely, Alan D. Rogol, Erica A. Eugster, Gad B. Kletter, Stephen F. Kemp, Thomas A. Wilson, Dana S. Hardin, Susan R. Rose and Sally Radovick. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and The Journal of Pediatrics.
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.