B T Smith

40 papers receiving 1.4k citations

Peers

B T Smith
Comparison fields: 5 of 121
  • Endocrine and Autonomic Systems 136
  • Molecular Medicine 83
  • Genetics 444
  • Pulmonary and Respiratory Medicine 420
  • Molecular Biology 799
Replace Ignacio García-Verdugo with:
Ignacio García-Verdugo France
Michael D. Bruno United States
Xiaolin Luo China
Christopher A. Smith United Kingdom
J L San Millán Spain
Deborah Ward United States
Sunita Sinha Canada
Martina Dorsch Germany
Francesca Andreoni Italy
Prashant R. Nambiar United States
B T Smith relative to Ignacio García-Verdugo France Ignacio García-Verdugo's profile →
Citations per field
00.5×8.2×
Ignacio García-Verdugo · 1×
Citations per year

Countries citing papers authored by B T Smith

Since Specialization
Citations

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

Fields of papers citing papers by B T Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000265
2 1999147
3 1998136
4 1977108
5 198399
6 198693
7 199180
8 200177
9 199652
10 198947
11 200246
12 200035
13 198526
14 198024
15 199321
16 200520
17 200319
18 200418
19
Fetal lung maturation. III. The amniotic fluid cortisol/cortisone ratio in preterm human delivery and the risk of respiratory distress syndrome.
197715
20 200714

About B T Smith

B T Smith is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Surgery, Genetics and Public Health, Environmental and Occupational Health, having authored 40 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (16 papers), Congenital Diaphragmatic Hernia Studies (9 papers), DNA Repair Mechanisms (5 papers), Biotechnology and Related Fields (5 papers), Bacterial Genetics and Biotechnology (5 papers), Bacillus and Francisella bacterial research (5 papers), Pharmaceutical Economics and Policy (4 papers) and Viral Infections and Outbreaks Research (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (136 citations), Molecular Medicine (83 citations), Genetics (444 citations), Pulmonary and Respiratory Medicine (420 citations) and Molecular Biology (799 citations). B T Smith has collaborated with scholars based in United States and Canada. Frequent co-authors include Graham C. Walker, Martin Post, Veronica G. Godoy, Mark D. Sutton, Timothy J. Opperman, Sumati Murli, Alan D. Grossman, Dennis Worthington, Robin N. N. Han and Irene Tseu. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Journal of Biological Chemistry, Journal of Bacteriology, Proceedings of the National Academy of Sciences 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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