Ivan Francis

26 papers receiving 529 citations

Peers

Ivan Francis
Comparison fields: 5 of 56
  • Pediatrics, Perinatology and Child Health 193
  • Endocrinology, Diabetes and Metabolism 113
  • Clinical Biochemistry 46
  • Pulmonary and Respiratory Medicine 190
  • Endocrine and Autonomic Systems 23
Replace Cristina Fazzini with:
Cristina Fazzini Italy
Silvana Lauriola Italy
Alvin Perelman United States
Yi-Hung Chou Taiwan
A F Heeley United Kingdom
Aspasia Fotinou Greece
Trinh T. To United States
Sunita Bijarnia India
H.J. van der Kamp Netherlands
Krishna Yanamandra United States
Ivan Francis relative to Cristina Fazzini Italy Cristina Fazzini's profile →
Citations per field
00.5×2.9×
Cristina Fazzini · 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 20195
18 20005
19 19854
20 19823

About Ivan Francis

Ivan Francis is a scholar working on Clinical Biochemistry, Pediatrics, Perinatology and Child Health, 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), Cystic Fibrosis Research Advances (4 papers), Neonatal Health and Biochemistry (4 papers), Prenatal Screening and Diagnostics (4 papers), Folate and B Vitamins Research (3 papers), Mitochondrial Function and Pathology (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (193 citations), Endocrinology, Diabetes and Metabolism (113 citations), Clinical Biochemistry (46 citations), Pulmonary and Respiratory Medicine (190 citations) and Endocrine and Autonomic Systems (23 citations). Ivan Francis has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include Judith Glazner, John Massie, Hugo Gold, Moisés Mercado, V Y Yu, W Szymonowicz, David J. Amor, Colin Robertson, J. Halliday and Lisette Curnow. Their work appears in journals such as The Medical Journal of Australia, Prenatal Diagnosis, Archives of Disease in Childhood, Hormone and Metabolic Research and Journal of Medical Screening.

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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