Stephen LaFranchi

7.6k citations
100 papers · 5.1k · h-index 40

Impact in

Papers in

Stephen LaFranchi

100 papers receiving 4.9k citations

Peers

Stephen LaFranchi
Comparison fields: 5 of 113
  • Endocrinology, Diabetes and Metabolism 3.0k
  • Endocrine and Autonomic Systems 641
  • Pediatrics, Perinatology and Child Health 1.0k
  • Clinical Biochemistry 318
  • Genetics 1.1k
Replace Susan R. Rose with:
Susan R. Rose United States
Juliane Léger France
Eleanor Colle Canada
H Frisch Austria
Thomas Vulsma Netherlands
Paul Czernichow France
P Czernichow France
Giovanna Weber Italy
Marco Cappa Italy
Kazue Takano Japan
Stephen LaFranchi relative to Susan R. Rose United States Susan R. Rose's profile →
Citations per field
00.5×2.6×
Susan R. Rose · 1×
Citations per year

Countries citing papers authored by Stephen LaFranchi

Since Specialization
Citations

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

Fields of papers citing papers by Stephen LaFranchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010381
2 2003306
3 1979284
4 1995268
5 1987190
6 2013186
7 1997176
8 1999171
9 1990157
10 2003135
11 2011133
12 2005131
13 2005112
14 1982104
15 200299
16 201299
17 197596
18 200391
19 201085
20 199384

About Stephen LaFranchi

Stephen LaFranchi is a scholar working on Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Molecular Biology, Endocrine and Autonomic Systems and Genetics, having authored 100 papers that have together received 5.1k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (44 papers), Growth Hormone and Insulin-like Growth Factors (24 papers), Neonatal Health and Biochemistry (21 papers), Neuroscience of respiration and sleep (12 papers), Sexual Differentiation and Disorders (10 papers), Metabolism and Genetic Disorders (10 papers), Neonatal Respiratory Health Research (9 papers) and Birth, Development, and Health (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.0k citations), Endocrine and Autonomic Systems (641 citations), Pediatrics, Perinatology and Child Health (1.0k citations), Clinical Biochemistry (318 citations) and Genetics (1.1k citations). Stephen LaFranchi has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Cheryl E. Hanna, Ron G. Rosenfeld, Scott Mandel, Thomas P. Foley, David E. Sesser, Andrea M. Haqq, Jonathan Q. Purnell, Diane Stadler, William H. Murphey and Michael R. Skeels. Their work appears in journals such as The Journal of Pediatrics, The Journal of Clinical Endocrinology & Metabolism, PEDIATRICS, Thyroid and Pediatric Research.

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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