T Child

685 citations
14 papers · 434 indexed · h-index 9

T Child

14 papers receiving 417 citations

Peers

T Child
Comparison fields: 5 of 41
  • Reproductive Medicine 297
  • Public Health, Environmental and Occupational Health 326
  • Pediatrics, Perinatology and Child Health 180
  • Obstetrics and Gynecology 63
  • Immunology 33
Replace Zaloa Larreategui with:
Zaloa Larreategui Spain
Mara Koifman Israel
George K. Petsas Greece
Lai-Ping Cheung Hong Kong
Corry H de Koning Netherlands
Iffat Khadum United Kingdom
Rachel Weinerman United States
Lamiya Mohiyiddeen United Kingdom
Yichun Guan China
Amanda Tozer United Kingdom
T Child relative to Zaloa Larreategui Spain Zaloa Larreategui's profile →
Citations per field
00.5×1.5×
Zaloa Larreategui · 1×
Citations per year

Countries citing papers authored by T Child

Since Specialization
Citations

This map shows the geographic impact of T Child'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 T Child with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Child more than expected).

Fields of papers citing papers by T Child

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T Child. 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 T Child. The network helps show where T Child may publish in the future.

Co-authorship network

The 25 scholars most cited alongside T Child, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with T Child Line = papers co-authored together T Child links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Immune therapies for women with history of unsuccessful implantation undergoing IVF/ICSI treatment - A Cochrane collaboration systematic review
20181
2 201630
3
Intention-to-treat and per-protocol analyses
20121
4 201210
5 201123
6 20101
7 200518
8 20042
9 200415
10 2002125
11 200254
12 20022
13 200058
14 199794

About T Child

T Child is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Obstetrics and Gynecology, having authored 14 papers that have together received 434 indexed citations. Recurring topics across this work include Ovarian function and disorders (8 papers), Reproductive Biology and Fertility (8 papers), Assisted Reproductive Technology and Twin Pregnancy (3 papers), Reproductive System and Pregnancy (2 papers), TGF-β signaling in diseases (2 papers), Sperm and Testicular Function (2 papers), Pregnancy and Medication Impact (2 papers) and Pregnancy and preeclampsia studies (1 paper). The work is most often cited by research in Reproductive Medicine (297 citations), Public Health, Environmental and Occupational Health (326 citations) and Pediatrics, Perinatology and Child Health (180 citations). T Child has collaborated with scholars based in United Kingdom, Canada and Netherlands. Frequent co-authors include William J. Ledger, Shanthi Muttukrishna, N. P. Groome, Seang Lin Tan, Bülent Gülekli, Ingrid Granne, Gillian Lockwood, Nigel P. Groome, David H. Barlow and Katy Vincent. Their work appears in journals such as Human Reproduction, Fertility and Sterility, Cochrane Database of Systematic Reviews, Obstetrics and Gynecology and Journal of Assisted Reproduction and Genetics.

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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