Fred Lacy

1.3k citations
24 papers · 1.0k · h-index 10

Impact in

    • Eicosanoids and Hypertension Pharmacology
    • Antioxidant Activity and Oxidative Stress
  • Physiology top 10%
    • Nitric Oxide and Endothelin Effects

Papers in

Fred Lacy

19 papers receiving 995 citations

Peers

Fred Lacy
Comparison fields: 5 of 118
  • Biochemistry 167
  • Physiology 343
  • Biochemistry 78
  • Nutrition and Dietetics 154
  • Cardiology and Cardiovascular Medicine 226
Replace Mahendra Kavdia with:
Mahendra Kavdia United States
Yingzi Zhao China
Xiaomei Guo China
Noriko Yoshida Japan
Hiroshi Ohnuma Japan
Mitko Mladenov North Macedonia
A Beresewicz Poland
Refik Kayalı Türkiye
Charlotte Farah France
Michiko Oka Japan
Fred Lacy relative to Mahendra Kavdia United States Mahendra Kavdia's profile →
Citations per field
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Mahendra Kavdia · 1×
Citations per year

Countries citing papers authored by Fred Lacy

Since Specialization
Citations

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

Fields of papers citing papers by Fred Lacy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Fred Lacy, 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 Fred Lacy Line = papers co-authored together Fred Lacy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998282
2 2000247
3 1997200
4 2011104
5 199877
6 202037
7 200921
8 201017
9 201311
10 19969
11 20247
12 20244
13 20224
14 20084
15 20203
16 20242
17 20231
18 20131
19 20201
20 20250

About Fred Lacy

Fred Lacy is a scholar working on Electrical and Electronic Engineering, Experimental and Cognitive Psychology, Electronic, Optical and Magnetic Materials, Computer Vision and Pattern Recognition and Safety, Risk, Reliability and Quality, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Sleep and Work-Related Fatigue (5 papers), Nitric Oxide and Endothelin Effects (3 papers), Ergonomics and Musculoskeletal Disorders (2 papers), Mechanical and Optical Resonators (2 papers), Copper Interconnects and Reliability (2 papers), Semiconductor materials and devices (2 papers), Electronic Packaging and Soldering Technologies (2 papers) and Nanoparticles: synthesis and applications (2 papers). The work is most often cited by research in Biochemistry (167 citations), Physiology (343 citations), Biochemistry (78 citations), Nutrition and Dietetics (154 citations) and Cardiology and Cardiovascular Medicine (226 citations). Fred Lacy has collaborated with scholars based in United States, Bahrain and India. Frequent co-authors include Geert W. Schmid‐Schönbein, Daniel T. O’Connor, Frank A. DeLano, Robert J. Parmer, Mala T. Kailasam, Geert W. Schmid‐Schönbein, David Gough, Philip S. Jones, Vasudevanpillai Biju and Sakiko Sugino. Their work appears in journals such as IEEE Sensors Journal, Hypertension, Nanoscale, IEEE Transactions on Biomedical Engineering and Applied Sciences.

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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