Bernard E. Statland

98 papers receiving 2.0k citations

Peers

Bernard E. Statland
Comparison fields: 5 of 135
  • Nephrology 179
  • Clinical Biochemistry 135
  • Pharmacology 173
  • Physiology 480
  • Hematology 185
Replace Vladimír Palička with:
Vladimír Palička Czechia
D. JOHN COLTART United Kingdom
Elisa Danese Italy
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Citations per field
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Citations per year

Countries citing papers authored by Bernard E. Statland

Since Specialization
Citations

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

Fields of papers citing papers by Bernard E. Statland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bernard E. Statland. 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 Bernard E. Statland. The network helps show where Bernard E. Statland may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1974160
2 197889
3 197482
4 196981
5 197375
6 197469
7 197366
8 197465
9 198064
10 198162
11 197361
12 200060
13 197658
14 197754
15 197247
16 197644
17 197543
18 198543
19
Factors contributing to intra-individual variation of serum constituents: Physiological day-to-day variation in concentrations of 10 specific proteins in sera of healthy subjects.
197641
20 197740

About Bernard E. Statland

Bernard E. Statland is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Pulmonary and Respiratory Medicine, Hematology and Pediatrics, Perinatology and Child Health, having authored 102 papers that have together received 2.2k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (14 papers), Neonatal Respiratory Health Research (10 papers), Alkaline Phosphatase Research Studies (8 papers), Liver Disease Diagnosis and Treatment (6 papers), Biochemical and Molecular Research (5 papers), Pregnancy and preeclampsia studies (5 papers), Metabolism and Genetic Disorders (4 papers) and Alcohol Consumption and Health Effects (4 papers). The work is most often cited by research in Nephrology (179 citations), Clinical Biochemistry (135 citations), Pharmacology (173 citations), Physiology (480 citations) and Hematology (185 citations). Bernard E. Statland has collaborated with scholars based in United States, Denmark and Morocco. Frequent co-authors include Per Winkel, Henning Bokelund, Niels Tygstrup, L Ranek, Per Buch Andreasen, R H Ng, Alex M. Saunders, Geoffrey Sher, James G. White and Kirsten Jørgensen. Their work appears in journals such as Clinical Chemistry, American Journal of Clinical Pathology, Clinica Chimica Acta, European Journal of Clinical Investigation and Pharmacology.

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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