H E Sine

27 papers receiving 269 citations

Peers

H E Sine
Comparison fields: 5 of 95
  • Toxicology 17
  • Analytical Chemistry 31
  • Endocrinology, Diabetes and Metabolism 49
  • Cardiology and Cardiovascular Medicine 64
  • Nephrology 18
Replace N P Kubasik with:
N P Kubasik United States
Satoru Nagashima Japan
L Sölvell Sweden
Sandra K. Kirkman United Kingdom
D. Dekker Netherlands
E. Baltes Belgium
Gottfried Härtel Finland
W. D. Paul United States
P Baltassat France
J. Alexander Bralley United States
H E Sine relative to N P Kubasik United States N P Kubasik's profile →
Citations per field
00.5×1.5×
N P Kubasik · 1×
Citations per year

Countries citing papers authored by H E Sine

Since Specialization
Citations

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

Fields of papers citing papers by H E Sine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside H E Sine, 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 H E Sine Line = papers co-authored together H E Sine links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197953
2 198236
3 197824
4 197520
5 198020
6 197218
7 196718
8 197816
9 197414
10 196913
11 197912
12 197512
13 197312
14 198410
15 198010
16
Multilayer film analysis: evaluation of ion-selective electrolyte slides.
19837
17 19707
18 19786
19 19736
20 19855

About H E Sine

H E Sine is a scholar working on Endocrinology, Diabetes and Metabolism, Rheumatology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Nephrology, having authored 29 papers that have together received 345 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (3 papers), Thyroid Disorders and Treatments (3 papers), Renal function and acid-base balance (3 papers), Folate and B Vitamins Research (3 papers), Clinical Laboratory Practices and Quality Control (2 papers), Radiation Dose and Imaging (2 papers), Analytical chemistry methods development (2 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers). The work is most often cited by research in Toxicology (17 citations), Analytical Chemistry (31 citations), Endocrinology, Diabetes and Metabolism (49 citations), Cardiology and Cardiovascular Medicine (64 citations) and Nephrology (18 citations). H E Sine has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include N P Kubasik, Louis F. Hass, John D’Souza, Thomas H. Hunter, Margaret Graham, S. Serge Barold, Kenneth W. Warren, Daniel Ghercă, Martin H. Murray and John P. Morgan. Their work appears in journals such as Clinical Chemistry, Clinical Biochemistry, Journal of the American Chemical Society, Journal of Chromatographic Science and Journal of Biological Chemistry.

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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