Kenneth Alexander

4.2k citations
110 papers · 3.3k indexed · h-index 30

Impact in

Papers in

Kenneth Alexander

104 papers receiving 3.1k citations

Peers

Kenneth Alexander
Comparison fields: 5 of 165
  • Pharmaceutical Science 165
  • Cell Biology 328
  • Cellular and Molecular Neuroscience 350
  • Molecular Biology 1.1k
  • Epidemiology 462
Replace Wei Xü with:
Wei Xü China
William R. Carroll United States
Jiye Cai China
Yang Luo China
Yutaka Morita Japan
Michael Eisenhut Germany
Yuxia Zhang China
Takeshi Kawamura Japan
Takaaki Kobayashi Japan
John A. Petros United States
Kenneth Alexander relative to Wei Xü China Wei Xü's profile →
Citations per field
00.5×3.6×
Wei Xü · 1×
Citations per year

Countries citing papers authored by Kenneth Alexander

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Alexander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth Alexander. 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 Kenneth Alexander. The network helps show where Kenneth Alexander may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20240
4 20224
5 201915
6 201821
7 20142
8 20131
9 201333
10 201315
11 201359
12 201247
13 20128
14 20085
15 20068
16 20056
17 200484
18 200293
19 200021
20 199722

About Kenneth Alexander

Kenneth Alexander is a scholar working on Pharmaceutical Science, Health, Applied Microbiology and Biotechnology, Clinical Biochemistry and Epidemiology, having authored 110 papers that have together received 3.3k indexed citations. Recurring topics across this work include Thermal and Kinetic Analysis (16 papers), Cervical Cancer and HPV Research (14 papers), Chemical Thermodynamics and Molecular Structure (13 papers), Analytical Chemistry and Chromatography (9 papers), Drug Solubulity and Delivery Systems (8 papers), Vaccine Coverage and Hesitancy (8 papers), Neonatal and Maternal Infections (6 papers) and Sepsis Diagnosis and Treatment (6 papers). The work is most often cited by research in Pharmaceutical Science (165 citations), Cell Biology (328 citations), Cellular and Molecular Neuroscience (350 citations), Molecular Biology (1.1k citations) and Epidemiology (462 citations). Kenneth Alexander has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include D. Dollimore, Daniel R. Storm, Alan T. Riga, Allison Hall, Bassam T. Wakim, Kathryn E. Meier, Kenneth A. Walsh, Edwin R. Chapman, Koustuv Chatterjee and F.W. Wilburn. Their work appears in journals such as Journal of Thermal Analysis and Calorimetry, Thermochimica Acta, Biochemistry, Journal of Biological Chemistry and Instrumentation Science & Technology.

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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