Ivan Francis

850 citations
26 papers · 566 · h-index 14

Impact in

Papers in

Ivan Francis

26 papers receiving 529 citations

Peers

Ivan Francis
Comparison fields: 5 of 63
  • Pediatrics, Perinatology and Child Health 285
  • Clinical Biochemistry 53
  • Pulmonary and Respiratory Medicine 232
  • Endocrinology, Diabetes and Metabolism 109
  • Endocrine and Autonomic Systems 42
Replace J.G. Thorpe‐Beeston with:
J.G. Thorpe‐Beeston United Kingdom
Yvonne van Pareren Netherlands
María Isabel Hernández Chile
Trinh T. To United States
A. Brian Little United States
Yi-Hung Chou Taiwan
Sarah Mathai India
Yohei Ogawa Japan
Emanuela Ferretti Canada
Halil Sağlam Türkiye
Ivan Francis relative to J.G. Thorpe‐Beeston United Kingdom J.G. Thorpe‐Beeston's profile →
Citations per field
00.5×3.1×
J.G. Thorpe‐Beeston · 1×
Citations per year

Countries citing papers authored by Ivan Francis

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Francis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ivan Francis, 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 Ivan Francis Line = papers co-authored together Ivan Francis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200990
2 198878
3 200076
4 201243
5 200641
6 200129
7 201029
8 199528
9 201026
10 200721
11 200119
12 201116
13 198913
14 197913
15 201013
16 19836
17 20005
18 20195
19 19854
20 19823

About Ivan Francis

Ivan Francis is a scholar working on Pediatrics, Perinatology and Child Health, Clinical Biochemistry, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 26 papers that have together received 566 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (9 papers), Thyroid Disorders and Treatments (6 papers), Prenatal Screening and Diagnostics (5 papers), Neonatal Health and Biochemistry (5 papers), Neonatal Respiratory Health Research (5 papers), Cystic Fibrosis Research Advances (4 papers), Tracheal and airway disorders (3 papers) and Folate and B Vitamins Research (3 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (285 citations), Clinical Biochemistry (53 citations), Pulmonary and Respiratory Medicine (232 citations), Endocrinology, Diabetes and Metabolism (109 citations) and Endocrine and Autonomic Systems (42 citations). Ivan Francis has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Judith Glazner, John Massie, Hugo Gold, V Y Yu, Moisés Mercado, W Szymonowicz, David J. Amor, Colin Robertson, Lisette Curnow and J. Halliday. Their work appears in journals such as The Medical Journal of Australia, Early Human Development, Journal of Medical Screening, Molecular Genetics and Metabolism and Archives of Disease in Childhood.

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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