Harold T. Smith

1.3k citations
43 papers · 1.1k indexed · h-index 21

Impact in

Papers in

Harold T. Smith

42 papers receiving 1.0k citations

Peers

Harold T. Smith
Comparison fields: 5 of 114
  • Filtration and Separation 154
  • Fluid Flow and Transfer Processes 217
  • Transplantation 57
  • Pharmacology 116
  • Endocrinology, Diabetes and Metabolism 163
Replace Pierre‐Alain Carrupt with:
Pierre‐Alain Carrupt Switzerland
Joelle Le United Kingdom
Akiko Ohno Japan
J.H. Perrin United States
James T. Doluisio United States
David E. Guttman United States
R.J. Stubbs United States
Chris Bevan United Kingdom
Yoshimasa Orita Japan
Joseph V. Swintosky United States
Harold T. Smith relative to Pierre‐Alain Carrupt Switzerland Pierre‐Alain Carrupt's profile →
Citations per field
00.5×10×15×21.7×
Pierre‐Alain Carrupt · 1×
Citations per year

Countries citing papers authored by Harold T. Smith

Since Specialization
Citations

This map shows the geographic impact of Harold 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 Harold 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 Harold T. Smith more than expected).

Fields of papers citing papers by Harold T. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201112
2 20113
3 2008119
4 200825
5 200713
6 200515
7 200418
8 200443
9 200416
10 200329
11 200134
12 200122
13 19998
14 19986
15 199720
16 199332
17 199371
18 199040
19 19885
20
Automation in HPLC analysis.
19820

About Harold T. Smith

Harold T. Smith is a scholar working on Filtration and Separation, Transplantation, Fluid Flow and Transfer Processes, Analytical Chemistry and Pharmacology, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (7 papers), Analytical Chemistry and Chromatography (5 papers), Analytical Methods in Pharmaceuticals (5 papers), Biosimilars and Bioanalytical Methods (5 papers), Renal Transplantation Outcomes and Treatments (4 papers), Pharmaceutical studies and practices (4 papers), Thermodynamic properties of mixtures (4 papers) and Chemical and Physical Properties in Aqueous Solutions (4 papers). The work is most often cited by research in Filtration and Separation (154 citations), Fluid Flow and Transfer Processes (217 citations), Transplantation (57 citations), Pharmacology (116 citations) and Endocrinology, Diabetes and Metabolism (163 citations). Harold T. Smith has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include F. Franks, Felix Franks, Francis L. S. Tse, Henk‐Jan Schuurman, Miles G. Choc, Wenkui Li, August J. Troendle, Volker Fischer, Hequn Yin and Handan He. Their work appears in journals such as Journal of Chromatography B, Bioanalysis, The Journal of Clinical Pharmacology, The Journal of Physical Chemistry and Drug Metabolism and Disposition.

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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