J. Mac Law

42 papers receiving 820 citations

Peers

J. Mac Law
Comparison fields: 5 of 94
  • Aquatic Science 153
  • Physiology 67
  • Equine 22
  • Health, Toxicology and Mutagenesis 185
  • Immunology 228
Replace P.W. Wester with:
P.W. Wester Netherlands
Daniel Sims Canada
Hélène Huet France
Mark S. Okihiro United States
J. A. Render United States
Emin Teskeredžić Croatia
John L. Brubacher Canada
Jens Gercken Germany
Mary R. Arkoosh United States
John W. Fournie United States
J. Mac Law relative to P.W. Wester Netherlands P.W. Wester's profile →
Citations per field
00.5×
P.W. Wester · 1×
Citations per year

Countries citing papers authored by J. Mac Law

Since Specialization
Citations

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

Fields of papers citing papers by J. Mac Law

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014177
2 200880
3 200767
4 200538
5 200137
6 200335
7 201535
8 201233
9 200832
10 201624
11 201823
12 201419
13 201219
14 200918
15 199417
16
Evaluation of the gross and histologic reactions to five commonly used suture materials in the skin of the African clawed frog (Xenopus laevis).
200616
17 199813
18 201113
19 201713
20
Verminous encephalitis apparently caused by the filarioid nematode Chandlerella quiscali in emus (Dromaius novaehollandiae).
199313

About J. Mac Law

J. Mac Law is a scholar working on Immunology, Nature and Landscape Conservation, Ecology, Health, Toxicology and Mutagenesis and Pollution, having authored 44 papers that have together received 843 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (11 papers), Fish Ecology and Management Studies (7 papers), Environmental Toxicology and Ecotoxicology (7 papers), Pharmaceutical and Antibiotic Environmental Impacts (6 papers), Aquaculture Nutrition and Growth (5 papers), Parasite Biology and Host Interactions (4 papers), Liver physiology and pathology (3 papers) and Inflammatory mediators and NSAID effects (3 papers). The work is most often cited by research in Aquatic Science (153 citations), Physiology (67 citations), Equine (22 citations), Health, Toxicology and Mutagenesis (185 citations) and Immunology (228 citations). J. Mac Law has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Craig A. Harms, Jan M. Spitsbergen, Michael L. Kent, W. Gregory Cope, Anthony T. Blikslager, Seth W. Kullman, B. Duncan X. Lascelles, Bernard W. Sweeney, Alvin C. Camus and Jenna G. Wooten. Their work appears in journals such as Journal of Fish Diseases, Toxicologic Pathology, American Journal of Veterinary Research, Journal of Aquatic Animal Health and Journal of Comparative Pathology.

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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