A.F. Smith

2.2k citations
82 papers · 1.7k · h-index 22

Impact in

Papers in

A.F. Smith

78 papers receiving 1.5k citations

Peers

A.F. Smith
Comparison fields: 5 of 114
  • Obstetrics and Gynecology 172
  • Endocrinology, Diabetes and Metabolism 299
  • Oncology 394
  • Cardiology and Cardiovascular Medicine 193
  • Nephrology 63
Replace Krzysztof Lewandowski with:
Krzysztof Lewandowski Poland
N. A. Samaan United States
Hiroshi Noto Japan
Sunil Nadar United Kingdom
Clarence V. Hodges United States
J. Egido Spain
Jorie Versmissen Netherlands
Albert G. Frauman Australia
Bo Kyung Koo South Korea
N. H. Bjarnason Denmark
A.F. Smith relative to Krzysztof Lewandowski Poland Krzysztof Lewandowski's profile →
Citations per field
00.5×2.8×
Krzysztof Lewandowski · 1×
Citations per year

Countries citing papers authored by A.F. Smith

Since Specialization
Citations

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

Fields of papers citing papers by A.F. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999281
2 1990150
3 199486
4 198675
5 198257
6 197651
7 197346
8 199335
9 199934
10 198134
11 198834
12 198032
13 198131
14 197827
15 197026
16 198026
17 197024
18 199222
19
Prediction of nodal metastasis and prognosis in breast cancer: a neural model.
199722
20 198422

About A.F. Smith

A.F. Smith is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 82 papers that have together received 1.7k indexed citations. Recurring topics across this work include Alkaline Phosphatase Research Studies (11 papers), Pancreatitis Pathology and Treatment (6 papers), Biochemical and Molecular Research (6 papers), Parathyroid Disorders and Treatments (4 papers), Folate and B Vitamins Research (4 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Neonatal Respiratory Health Research (4 papers). The work is most often cited by research in Obstetrics and Gynecology (172 citations), Endocrinology, Diabetes and Metabolism (299 citations), Oncology (394 citations), Cardiology and Cardiovascular Medicine (193 citations) and Nephrology (63 citations). A.F. Smith has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Patricia M. Crofton, J M Steel, F. D. Johnstone, David Hepburn, W Hepburn, APM Forrest, TJ Anderson, W. G. Brydon, B F Clarke and Lorna Duncan. Their work appears in journals such as Clinica Chimica Acta, Clinical Chemistry, Heart, Journal of Clinical Pathology and European Journal of Anaesthesiology.

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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