Daniel Lawson

78 papers receiving 2.0k citations

Peers

Daniel Lawson
Comparison fields: 5 of 136
  • Biochemistry 217
  • Physiology 496
  • Cardiology and Cardiovascular Medicine 366
  • Pathology and Forensic Medicine 276
  • Hematology 157
Replace Makoto Kawase with:
Makoto Kawase Japan
Hsi‐Lung Hsieh Taiwan
Wenzheng Zhang China
Masahiro Nagano Japan
Terry T. Turner United States
Daniele Tibullo Italy
Claude Leray France
Antigone Lazou Greece
Jens Hansen Denmark
Danielle Morse United States
Daniel Lawson relative to Makoto Kawase Japan Makoto Kawase's profile →
Citations per field
00.5×7.2×
Makoto Kawase · 1×
Citations per year

Countries citing papers authored by Daniel Lawson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Lawson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987212
2 1991196
3 1989133
4 198895
5 198986
6
Superoxide radical-mediated endothelial injury and vasoconstriction of rat thoracic aortic rings.
199073
7 198867
8
Effects of muscle fatigue and temperature on electromechanical delay.
199866
9 198659
10 198458
11 199457
12 198550
13 199148
14 199244
15 198141
16 198941
17 198734
18 199032
19 198431
20 197530

About Daniel Lawson

Daniel Lawson is a scholar working on Physiology, Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology and Ecology, having authored 82 papers that have together received 2.1k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (24 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers), Receptor Mechanisms and Signaling (6 papers), Inflammatory mediators and NSAID effects (6 papers), Freshwater macroinvertebrate diversity and ecology (6 papers), Antiplatelet Therapy and Cardiovascular Diseases (5 papers), Cardiac Ischemia and Reperfusion (5 papers) and Cardiovascular Function and Risk Factors (4 papers). The work is most often cited by research in Biochemistry (217 citations), Physiology (496 citations), Cardiology and Cardiovascular Medicine (366 citations), Pathology and Forensic Medicine (276 citations) and Hematology (157 citations). Daniel Lawson has collaborated with scholars based in United States, Sweden and India. Frequent co-authors include J. L. Mehta, Richard W. Merritt, Tom Saldeen, Wilmer W. Nichols, Paulette Mehta, Jawahar L. Mehta, Michael J. Klug, J Mehta, William H. Donnelly and Edward D. Walker. Their work appears in journals such as Thrombosis Research, American Journal of Physiology-Heart and Circulatory Physiology, Life Sciences, Journal of Cardiovascular Pharmacology and American Heart Journal.

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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