J A Lipp

474 citations
9 papers · 348 · h-index 9

Impact in

Papers in

J A Lipp

9 papers receiving 303 citations

Peers

J A Lipp
Comparison fields: 5 of 62
  • Cardiology and Cardiovascular Medicine 116
  • Insect Science 44
  • Radiology, Nuclear Medicine and Imaging 72
  • Health, Toxicology and Mutagenesis 46
  • Cellular and Molecular Neuroscience 51
Replace Masao Nishimura with:
Masao Nishimura Japan
R. Widmann Germany
Kathryn H. Yuill United Kingdom
Ersan Odacı Türkiye
H J Döring Germany
Kazumi Maeda Japan
Darlan Pase da Rosa Brazil
Y. Z. Qian United States
Michael Markert Germany
J A Lipp relative to Masao Nishimura Japan Masao Nishimura's profile →
Citations per field
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Citations per year

Countries citing papers authored by J A Lipp

Since Specialization
Citations

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

Fields of papers citing papers by J A Lipp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J A Lipp. 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 J A Lipp. The network helps show where J A Lipp may publish in the future.

Co-authors

The 5 scholars most cited alongside J A Lipp, 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 J A Lipp Line = papers co-authored together J A Lipp links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1978123
2 197278
3 197740
4
comparison of the efficacy of HS-6 versus HI-6 when combined with atropine, pyridostigmine and clonazepam for soman poisoning in the monkey.
198039
5
Effect of atropine upon the cardiovascular system during soman-induced respiratory depression.
197622
6 197517
7 197813
8 20098
9 19768

About J A Lipp

J A Lipp is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Neurology, Molecular Biology and Pathology and Forensic Medicine, having authored 9 papers that have together received 348 indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Optical Imaging and Spectroscopy Techniques (2 papers), Electrochemical Analysis and Applications (1 paper), Cardiovascular and exercise physiology (1 paper), Neuroscience and Neural Engineering (1 paper), Metabolism and Genetic Disorders (1 paper), Mitochondrial Function and Pathology (1 paper) and Hemodynamic Monitoring and Therapy (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (116 citations), Insect Science (44 citations), Radiology, Nuclear Medicine and Imaging (72 citations), Health, Toxicology and Mutagenesis (46 citations) and Cellular and Molecular Neuroscience (51 citations). J A Lipp has collaborated with scholars based in United States. Frequent co-authors include Harvey R. Weiss, A. K. Sinha, Judith A. Neubauer, Abraham M. Rudolph and Robert S. Feldman. Their work appears in journals such as Microvascular Research, Circulation Research, Electroencephalography and Clinical Neurophysiology, Journal of Pharmacology and Experimental Therapeutics and Clinical and Experimental Pharmacology and Physiology.

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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