Stephen LaFranchi

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

Impact in

Papers in

Stephen LaFranchi

100 papers receiving 4.8k citations

Peers

Stephen LaFranchi
Comparison fields: 5 of 120
  • Endocrinology, Diabetes and Metabolism 3.1k
  • Endocrine and Autonomic Systems 876
  • Pediatrics, Perinatology and Child Health 1.6k
  • Clinical Biochemistry 413
  • Genetics 1.2k
Replace Susan R. Rose with:
Susan R. Rose United States
Giovanna Weber Italy
Thomas Vulsma Netherlands
P Czernichow France
Eleanor Colle Canada
Paul Czernichow France
Francis de Zegher Belgium
Bengt‐Åke Bengtsson Sweden
Malcolm Donaldson United Kingdom
Tim Cheetham United Kingdom
Stephen LaFranchi relative to Susan R. Rose United States Susan R. Rose's profile →
Citations per field
00.5×1.5×2.4×
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-authorship network

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
#Work
1 202151
2 201639
3 20145
4 201035
5 200574
6 200415
7 2003305
8 200389
9 200299
10 199854
11 1997176
12 19923
13 1987190
14 198614
15 198674
16 198615
17 198515
18 19807
19 1979284
20 19776

About Stephen LaFranchi

Stephen LaFranchi is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Clinical Biochemistry, Pediatrics, Perinatology and Child Health and Anatomy, having authored 100 papers that have together received 5.1k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (46 papers), Neonatal Health and Biochemistry (28 papers), Growth Hormone and Insulin-like Growth Factors (25 papers), Neuroscience of respiration and sleep (16 papers), Metabolism and Genetic Disorders (14 papers), Sexual Differentiation and Disorders (10 papers), Birth, Development, and Health (9 papers) and Neonatal Respiratory Health Research (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.1k citations), Endocrine and Autonomic Systems (876 citations), Pediatrics, Perinatology and Child Health (1.6k citations), Clinical Biochemistry (413 citations) and Genetics (1.2k 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, Jonathan Q. Purnell, Diane Stadler, Andrea M. Haqq, 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 Hormone Research in Paediatrics.

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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