Eugene Ivashkiv

775 citations
33 papers · 655 indexed · h-index 15
Topics
Analytical Methods in Pharmaceuticals (12 papers)Analytical Chemistry and Chromatography (10 papers)Pharmacological Effects and Assays (5 papers)
Partner nations
MalaysiaUnited States

In The Last Decade

Eugene Ivashkiv

32 papers receiving 568 citations

Peers

Eugene Ivashkiv
Comparison fields: 5 of 81
  • Surgery 210
  • Analytical Chemistry 170
  • Molecular Biology 144
  • Pharmacology 109
  • Spectroscopy 107
Replace R.J. Stubbs with:
R.J. Stubbs United States
Jamie J. Zhao United States
Toshio Kamei Japan
S. M. Singhvi United States
Daisy B. Whigan United States
Michael R. Dobrinska United States
Sérgio Luiz Dalmora Brazil
Bruce H. Migdalof United States
J. X. de Vries Germany
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Eugene Ivashkiv relative to R.J. Stubbs United States R.J. Stubbs's profile →
Citations per field
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R.J. Stubbs · 1×
Citations per year

Countries citing papers authored by Eugene Ivashkiv

Since Specialization
Citations

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

Fields of papers citing papers by Eugene Ivashkiv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugene Ivashkiv

This figure shows the co-authorship network connecting the top 25 collaborators of Eugene Ivashkiv. A scholar is included among the top collaborators of Eugene Ivashkiv based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eugene Ivashkiv. Eugene Ivashkiv is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Effect of food on pravastatin pharmacokinetics and pharmacodynamics.
42
2 69
3 130
4 16
5 45
6 27
7 2
8 14
9 15
10 2
11 7
12 6
13 11
14 34
15 57
16 7
17 2
18 3
19 2
20 6

About Eugene Ivashkiv

Eugene Ivashkiv is a scholar working on Analytical Chemistry, Spectroscopy and Animal Science and Zoology, having authored 33 papers that have together received 655 indexed citations. Recurring topics across this work include Analytical Methods in Pharmaceuticals (12 papers), Analytical Chemistry and Chromatography (10 papers) and Pharmacological Effects and Assays (5 papers). The work is most often cited by research in Analytical Chemistry (170 citations), Pharmacology (64 citations) and Bioengineering (40 citations). Eugene Ivashkiv has collaborated with scholars based in Malaysia and United States. Frequent co-authors include Allen I. Cohen, Phillip T. Funke, Arthur R. DeVault, Henry Pan, David Wang‐Iverson, Brian N. Swanson, A. Arthur Sugerman, Mary F. Malley, Daisy B. Whigan and Mohammed Jemal. Their work appears in journals such as Analytical Chemistry, Journal of Pharmaceutical Sciences and Biotechnology and Bioengineering.

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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