Gerard G. Nahum

27 papers receiving 934 citations

Peers

Gerard G. Nahum
Comparison fields: 5 of 89
  • Obstetrics and Gynecology 718
  • Public Health, Environmental and Occupational Health 350
  • Pediatrics, Perinatology and Child Health 323
  • Surgery 187
  • Reproductive Medicine 70
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Countries citing papers authored by Gerard G. Nahum

Since Specialization
Citations

This map shows the geographic impact of Gerard G. Nahum'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 Gerard G. Nahum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerard G. Nahum more than expected).

Fields of papers citing papers by Gerard G. Nahum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerard G. Nahum. 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 Gerard G. Nahum. The network helps show where Gerard G. Nahum may publish in the future.

Co-authorship network of co-authors of Gerard G. Nahum

This figure shows the co-authorship network connecting the top 25 collaborators of Gerard G. Nahum. A scholar is included among the top collaborators of Gerard G. Nahum 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 Gerard G. Nahum. Gerard G. Nahum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 17
2 1
3 5
4 1
5 20
6 10
7 159
8 43
9 13
10 84
11 7
12
Relationship of paternal factors to birth weight.
33
13
Ultrasonic prediction of term birth weight in Hispanic women. Accuracy in an outpatient clinic.
14
14
Rudimentary uterine horn pregnancy. The 20th-century worldwide experience of 588 cases.
152
15 9
16
Uterine anomalies. How common are they, and what is their distribution among subtypes?
178
17
Rudimentary uterine horn pregnancy. A case report on surviving twins delivered eight days apart.
45
18 25
19
Racial differences in oral glucose screening test results: establishing race-specific criteria for abnormality in pregnancy.
39
20
Correlation between first- and early third-trimester glucose screening test results.
13

About Gerard G. Nahum

Gerard G. Nahum is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Endocrinology, Diabetes and Metabolism, having authored 27 papers that have together received 999 indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (14 papers), Pregnancy and preeclampsia studies (11 papers) and Birth, Development, and Health (7 papers). The work is most often cited by research in Obstetrics and Gynecology (718 citations), Pediatrics, Perinatology and Child Health (323 citations) and Public Health, Environmental and Occupational Health (350 citations). Gerard G. Nahum has collaborated with scholars based in United States, Germany and Chile. Frequent co-authors include Harold Stanislaw, Kathleen Uhl, Dianne L. Kennedy, John McHugh, Lothar Heinemann, Klaas Heinemann, Andrew M. Kaunitz, K. Rosén, Thomas Schmelter and R. Lynen. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Obstetrics and Gynecology and BJOG An International Journal of Obstetrics & Gynaecology.

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.

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