Phillip D. Toth

3.5k citations
26 papers · 1.8k · 1 hit paper · h-index 11

Impact in

Papers in

Phillip D. Toth

23 papers receiving 1.7k citations

Phillip D. Toth's Hit Papers

A 52-Week Placebo-Controlled Trial of Evolocumab in Hyperlipidemia 2014 · 560 citations
5600+4+8Years since publication100200300400500

Peers

Phillip D. Toth
Comparison fields: 5 of 100
  • Endocrinology, Diabetes and Metabolism 435
  • Surgery 1.1k
  • Cancer Research 188
  • Nutrition and Dietetics 159
  • Cardiology and Cardiovascular Medicine 172
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Claude Gagné Canada
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Citations per year

Countries citing papers authored by Phillip D. Toth

Since Specialization
Citations

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

Fields of papers citing papers by Phillip D. Toth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip D. Toth. 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 Phillip D. Toth. The network helps show where Phillip D. Toth may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A 52-Week Placebo-Controlled Trial of Evolocumab in Hyperlipidemia
Hit paper breakdown →
2014560
2 2001254
3 1999244
4 2002182
5 2008122
6 1989121
7 2001108
8 200180
9 200855
10 200242
11 201924
12 199510
13 197810
14 19886
15 19886
16 19996
17 19945
18
Relation of spastic and flaccid paralysis to retrograde transport of 125I-tetanus toxin and its 125I-Ibc fragment. Modulating effect of F (ab) antibodies directed to specific areas on the toxin molecule.
19854
19 19863
20 19862

About Phillip D. Toth

Phillip D. Toth is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology and Pharmacology, having authored 26 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hemodynamic Monitoring and Therapy (5 papers), Blood Pressure and Hypertension Studies (5 papers), Lipoproteins and Cardiovascular Health (4 papers), Body Composition Measurement Techniques (2 papers), Hormonal and reproductive studies (2 papers), Non-Invasive Vital Sign Monitoring (2 papers), Pharmaceutical Practices and Patient Outcomes (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (435 citations), Surgery (1.1k citations), Cancer Research (188 citations), Nutrition and Dietetics (159 citations) and Cardiology and Cardiovascular Medicine (172 citations). Phillip D. Toth has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Michael H. Davidson, Steven K. Burke, Harold Bays, Stuart Weiss, Lesley Burgess, Dirk Blom, Scott M. Wasserman, R Češka, Tomas Hala and Robert C. Scott. Their work appears in journals such as The Journal of Urology, Critical Care Medicine, The American Journal of Cardiology, Food and Chemical Toxicology and American Journal of Therapeutics.

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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