Mary Ripple

1.4k citations
27 papers · 1.1k indexed · h-index 15

Impact in

  • Toxicology top 2%
    • Forensic Toxicology and Drug Analysis
    • Drug-Induced Hepatotoxicity and Protection
    • Pharmacogenetics and Drug Metabolism

Papers in

Mary Ripple

27 papers receiving 1.0k citations

Peers

Mary Ripple
Comparison fields: 5 of 115
  • Toxicology 105
  • Pharmacology 116
  • Physiology 219
  • Biochemistry 40
  • Small Animals 47
Replace T G Rosano with:
T G Rosano United States
Jeffrey P. Walterscheid United States
Ondřej Slanař Czechia
Walter G. Smith United States
Carla J. Gargallo-Puyuelo Spain
CK Ching Hong Kong
Susan Lanza‐Jacoby United States
G. P. Velo Italy
Thomas Gicquel France
Mohammed M. Al‐Harbi Saudi Arabia
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Citations per field
00.5×6.7×
T G Rosano · 1×
Citations per year

Countries citing papers authored by Mary Ripple

Since Specialization
Citations

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

Fields of papers citing papers by Mary Ripple

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20185
2
[Correlation between the changes of oxidation reduction potential values and postmortem interval of heart blood in rabbits after death].
20131
3 201236
4 201117
5 20108
6 200924
7 200933
8 2009165
9 200918
10 200969
11 20083
12 200621
13 200420
14 20038
15
Death Due to Bioterrorism-Related Inhalational Anthrax
200119
16 200013
17 200062
18 200083
19 20007
20 198864

About Mary Ripple

Mary Ripple is a scholar working on Transplantation, Immunology and Allergy, Emergency Medicine, Toxicology and Cardiology and Cardiovascular Medicine, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (3 papers), Cardiovascular Disease and Adiposity (2 papers), Restraint-Related Deaths (2 papers), Cardiovascular Effects of Exercise (2 papers), Forensic Entomology and Diptera Studies (2 papers), Bacillus and Francisella bacterial research (2 papers), Renal Transplantation Outcomes and Treatments (1 paper) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper). The work is most often cited by research in Toxicology (105 citations), Pharmacology (116 citations), Physiology (219 citations), Biochemistry (40 citations) and Small Animals (47 citations). Mary Ripple has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Allen Burke, Fábio Távora, David R. Fowler, Joel R. Gorski, Peter J. Bugelski, William R. Hewitt, Glenn F. Rush, Janice Sowinski, Nathaniel Cresswell and Barry Levine. Their work appears in journals such as Journal of Forensic Sciences, American Journal of Forensic Medicine & Pathology, Cardiovascular Pathology, The American Journal of Cardiology and Movement Disorders.

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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