John Lawlor

1.2k citations
34 papers · 831 · h-index 18

Impact in

    • Meat and Animal Product Quality
    • Animal Nutrition and Physiology
    • Sensory Analysis and Statistical Methods
    • Probiotics and Fermented Foods

Papers in

John Lawlor

29 papers receiving 741 citations

Peers

John Lawlor
Comparison fields: 5 of 85
  • Animal Science and Zoology 317
  • Food Science 468
  • Sensory Systems 105
  • Nutrition and Dietetics 241
  • Classics 67
Replace Elizabeth M. Sheehan with:
Elizabeth M. Sheehan Ireland
Irene A. Baxter United Kingdom
Alejandra M. Muñoz United States
Scott C. Hutchings New Zealand
Cecilia Barreiro Uruguay
Pieter Punter Netherlands
K.W. Chapman United States
Ammar Olabi Lebanon
Maria A. A. P. da Silva Brazil
Marina Peparaio Italy
John Lawlor relative to Elizabeth M. Sheehan Ireland Elizabeth M. Sheehan's profile →
Citations per field
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Elizabeth M. Sheehan · 1×
Citations per year

Countries citing papers authored by John Lawlor

Since Specialization
Citations

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

Fields of papers citing papers by John Lawlor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201287
2 201083
3 200066
4 201562
5 200361
6 201650
7 200250
8 200948
9 196341
10 200139
11 200330
12 197230
13 200028
14 201526
15 200026
16 201726
17 201819
18 200317
19 20039
20 20247

About John Lawlor

John Lawlor is a scholar working on Animal Science and Zoology, Food Science, Nutrition and Dietetics, Agronomy and Crop Science and Experimental and Cognitive Psychology, having authored 34 papers that have together received 831 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (12 papers), Sensory Analysis and Statistical Methods (11 papers), Animal Nutrition and Physiology (6 papers), Biochemical Analysis and Sensing Techniques (5 papers), Probiotics and Fermented Foods (4 papers), Reproductive Physiology in Livestock (4 papers), Historical and Archaeological Studies (2 papers) and Multisensory perception and integration (2 papers). The work is most often cited by research in Animal Science and Zoology (317 citations), Food Science (468 citations), Sensory Systems (105 citations), Nutrition and Dietetics (241 citations) and Classics (67 citations). John Lawlor has collaborated with scholars based in Ireland, Netherlands and United Kingdom. Frequent co-authors include Conor M. Delahunty, Martin G. Wilkinson, Jeremiah J. Sheehan, María Luján Jiménez-Pranteda, Morton W. Bloomfield, Nicole J. Gaudette, James D. House, Lisa Methven, P.A. Morrissey and Pascal Schlich. Their work appears in journals such as Food Quality and Preference, The Modern Language Review, International Dairy Journal, International Journal of Dairy Technology and Meat Science.

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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