David H.G. Smith

2.2k citations
78 papers · 1.8k · h-index 26

Impact in

Papers in

David H.G. Smith

78 papers receiving 1.6k citations

Peers

David H.G. Smith
Comparison fields: 5 of 102
  • Cardiology and Cardiovascular Medicine 1.3k
  • Endocrinology, Diabetes and Metabolism 522
  • Family Practice 50
  • Geriatrics and Gerontology 65
  • Nutrition and Dietetics 227
Replace Dena Ettehad with:
Dena Ettehad United Kingdom
Athanasios Manolis Greece
Shawna D. Nesbitt United States
S Oparil United States
Giorgio Gentile Italy
Kalina Kawecka−Jaszcz Poland
Seon Mee Kang South Korea
Claudia R.L. Cardoso Brazil
Gil F. Salles Brazil
Eric J. Eichhorn United States
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Citations per field
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Citations per year

Countries citing papers authored by David H.G. Smith

Since Specialization
Citations

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

Fields of papers citing papers by David H.G. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David H.G. 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 David H.G. Smith. The network helps show where David H.G. Smith may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200598
2 200195
3 199492
4 200388
5 197787
6 200376
7 198063
8 200360
9 200060
10 199358
11 200857
12 199253
13 199450
14 200246
15 199146
16 200441
17 200540
18 200340
19 199238
20 201237

About David H.G. Smith

David H.G. Smith is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 78 papers that have together received 1.8k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (44 papers), Hormonal Regulation and Hypertension (18 papers), Heart Rate Variability and Autonomic Control (13 papers), Hemodynamic Monitoring and Therapy (9 papers), Renin-Angiotensin System Studies (8 papers), Assisted Reproductive Technology and Twin Pregnancy (5 papers), Sodium Intake and Health (5 papers) and Ectopic Pregnancy Diagnosis and Management (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.3k citations), Endocrinology, Diabetes and Metabolism (522 citations), Family Practice (50 citations), Geriatrics and Gerontology (65 citations) and Nutrition and Dietetics (227 citations). David H.G. Smith has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Joel M. Neutel, Michael A. Weber, William F. Graettinger, J NEUTEL, Joan Kempthorne‐Rawson, Michael E. Jones, Robert Dubiel, Nicholas G. Georgiade, Donald Serafín and Yves Lacourcière. Their work appears in journals such as Journal of Clinical Hypertension, American Heart Journal, Blood Pressure Monitoring, American Journal of Hypertension and American Journal of Cardiovascular Drugs.

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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