Juan J. Arce
- Endocrinology, Diabetes and Metabolism top 10%
- Reproductive Medicine top 5%
- Molecular Biology
- Genetics
- Public Health, Environmental and Occupational Health
- Co-authors
- Uwe GoebelsmannDaniel R. MishellIan H. ThorneycroftRobert M. NakamuraRichard HortonYukihiro NagataJorge H. MestmanEzra C. Davidson
- Topics
- Pregnancy and preeclampsia studies (3 papers)Prenatal Screening and Diagnostics (2 papers)Hormonal and reproductive studies (2 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismAmerican Journal of Obstetrics and GynecologyObstetrical & Gynecological Survey
- Partner nations
- United States
In The Last Decade
Juan J. Arce
13 papers receiving 369 citations
Peers
Comparison fields: 5 of 67
- Endocrinology, Diabetes and Metabolism 146
- Reproductive Medicine 130
- Molecular Biology 84
- Genetics 69
- Public Health, Environmental and Occupational Health 65
Countries citing papers authored by Juan J. Arce
This map shows the geographic impact of Juan J. Arce'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 Juan J. Arce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan J. Arce more than expected).
Fields of papers citing papers by Juan J. Arce
This network shows the impact of papers produced by Juan J. Arce. 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 Juan J. Arce. The network helps show where Juan J. Arce may publish in the future.
Co-authorship network of co-authors of Juan J. Arce
This figure shows the co-authorship network connecting the top 25 collaborators of Juan J. Arce. A scholar is included among the top collaborators of Juan J. Arce 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 Juan J. Arce. Juan J. Arce is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Gram-negative bacteriuria of pregnancy: rapid detection by a chromogenic Limulus amoebocyte lysate assay. | 8 |
| 2 | Prenatal diagnosis and management of nonimmunologic hydrops fetalis. | 34 |
| 3 | 32 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 17 | |
| 7 | 3 | |
| 8 | 16 | |
| 9 | 21 | |
| 10 | 128 | |
| 11 | 16 | |
| 12 | 2 | |
| 13 | 123 |
About Juan J. Arce
Juan J. Arce is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Internal Medicine, having authored 13 papers that have together received 409 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (3 papers), Prenatal Screening and Diagnostics (2 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Reproductive Medicine (130 citations), Endocrinology, Diabetes and Metabolism (146 citations) and Obstetrics and Gynecology (37 citations). Juan J. Arce has collaborated with scholars based in United States. Frequent co-authors include Uwe Goebelsmann, Daniel R. Mishell, Ian H. Thorneycroft, Robert M. Nakamura, Richard Horton, Yukihiro Nagata, Jorge H. Mestman, Ezra C. Davidson, Haragopal Thadepalli and Jack E. Maidman. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, American Journal of Obstetrics and Gynecology and Obstetrical & Gynecological Survey.
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.