Charles Piwko

32 papers receiving 924 citations

Peers

Charles Piwko
Comparison fields: 5 of 83
  • Public Health, Environmental and Occupational Health 383
  • Pharmacology 148
  • Cellular and Molecular Neuroscience 157
  • Obstetrics and Gynecology 54
  • Psychiatry and Mental health 101
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Citations per year

Countries citing papers authored by Charles Piwko

Since Specialization
Citations

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

Fields of papers citing papers by Charles Piwko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Quantifying the global rates of nausea and vomiting of pregnancy: a meta analysis.
2013193
2 2006159
3 200599
4 199867
5
Economic burden of nausea and vomiting of pregnancy in the USA.
201362
6 200744
7
Prevalence of nausea and vomiting of pregnancy in the USA: a meta analysis.
201342
8 201224
9 201323
10 200420
11 200719
12 199717
13 202317
14 201216
15 199616
16 199716
17 199616
18 199615
19 199514
20 201314

About Charles Piwko

Charles Piwko is a scholar working on Molecular Biology, Epidemiology, Public Health, Environmental and Occupational Health, Psychiatry and Mental health and Cellular and Molecular Neuroscience, having authored 34 papers that have together received 976 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (7 papers), Neuroendocrine Tumor Research Advances (6 papers), Pregnancy and Medication Impact (5 papers), Schizophrenia research and treatment (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Hair Growth and Disorders (3 papers), Chemical Synthesis and Analysis (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (383 citations), Pharmacology (148 citations), Cellular and Molecular Neuroscience (157 citations), Obstetrics and Gynecology (54 citations) and Psychiatry and Mental health (101 citations). Charles Piwko has collaborated with scholars based in Canada, Switzerland and United States. Frequent co-authors include Thomas R. Einarson, Gideon Koren, Michaël Iskedjian, Daniël Hoyer, Basil G. Bereza, Allan Gordon, Wendy J. Ungar, Colin Vicente, Annamaria Vezzani and A. Probst. Their work appears in journals such as Naunyn-Schmiedeberg s Archives of Pharmacology, Value in Health, Journal of Medical Economics, EClinicalMedicine and Current Medical Research and Opinion.

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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