A M Cruddas
- Obstetrics and Gynecology top 2%
- Pregnancy and preeclampsia studies 3
- Gestational Diabetes Research and Management 2
-
- Birth, Development, and Health 3
-
- Air Quality and Health Impacts 2
- Nutrition and Dietetics top 10%
-
- Connexins and lens biology 1
-
- Advanced Statistical Methods and Models 1
- Statistical Methods and Inference 1
- Statistical Methods and Bayesian Inference 1
- Co-authors
- David J. BarkerCatherine LawCaroline FallMichael de SwietClive OsmondPeter FayersBrian PannettMartin J. Gardner
- Cited by
- Obstetrics and GynecologyPediatrics, Perinatology and Child HealthHealth, Toxicology and Mutagenesis
- Journals
- Journal of Epidemiology & Community Health (2 papers)Biometrika (1 paper)International Journal of Epidemiology (1 paper)
- Partner nations
- United KingdomCanada
In The Last Decade
A M Cruddas
6 papers receiving 665 citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Obstetrics and Gynecology 342
- Pediatrics, Perinatology and Child Health 513
- Health, Toxicology and Mutagenesis 84
- Nutrition and Dietetics 86
- Public Health, Environmental and Occupational Health 162
Countries citing papers authored by A M Cruddas
This map shows the geographic impact of A M Cruddas'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 A M Cruddas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A M Cruddas more than expected).
Fields of papers citing papers by A M Cruddas
This network shows the impact of papers produced by A M Cruddas. 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 A M Cruddas. The network helps show where A M Cruddas may publish in the future.
Co-authorship network
The 19 scholars most cited alongside A M Cruddas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 51 | |
| 2 | Initiation of hypertension in utero and its amplification throughout life.breakdown → | 1993 | 503 |
| 3 | 1993 | 13 | |
| 4 | 1993 | 50 | |
| 5 | 1991 | 51 | |
| 6 | 1989 | 33 |
About A M Cruddas
A M Cruddas is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Health, Toxicology and Mutagenesis, Statistics and Probability and Public Health, Environmental and Occupational Health, having authored 6 papers that have together received 701 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (3 papers), Birth, Development, and Health (3 papers), Air Quality and Health Impacts (2 papers), Gestational Diabetes Research and Management (2 papers), Connexins and lens biology (1 paper), Advanced Statistical Methods and Models (1 paper), Statistical Methods and Inference (1 paper) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in Obstetrics and Gynecology (342 citations), Pediatrics, Perinatology and Child Health (513 citations), Health, Toxicology and Mutagenesis (84 citations), Nutrition and Dietetics (86 citations) and Public Health, Environmental and Occupational Health (162 citations). A M Cruddas has collaborated with scholars based in United Kingdom and Canada. Frequent co-authors include David J. Barker, Catherine Law, Caroline Fall, Michael de Swiet, Clive Osmond, Peter Fayers, Brian Pannett, Martin J. Gardner, P D Winter and D. R. Cox. Their work appears in journals such as Journal of Epidemiology & Community Health, Biometrika, International Journal of Epidemiology, Occupational and Environmental Medicine and BMJ.
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.