John L. Penner

741 citations
14 papers · 507 · h-index 13

Impact in

    • Escherichia coli research studies
  • Neurology top 10%
    • Peripheral Neuropathies and Disorders

Papers in

    • Glycosylation and Glycoproteins Research 6
    • Aquaculture disease management and microbiota 4
    • Galectins and Cancer Biology 2

John L. Penner

14 papers receiving 465 citations

Peers

John L. Penner
Comparison fields: 5 of 49
  • Endocrinology 79
  • Neurology 145
  • Food Science 176
  • Infectious Diseases 113
  • Cellular and Molecular Neuroscience 93
Replace L A Kurjanczyk with:
L A Kurjanczyk Canada
Lorna M. Friis United Kingdom
Peggy C. R. Godschalk Netherlands
Huong Ung United States
Cherisse L. Hall United States
Sadayuki Ochi Japan
Shunro Kohbata Japan
Maria V. McCrossan United Kingdom
Shashi K. Sharma United States
Laurence Delbrassinne Belgium
John L. Penner relative to L A Kurjanczyk Canada L A Kurjanczyk's profile →
Citations per field
00.5×1.5×
L A Kurjanczyk · 1×
Citations per year

Countries citing papers authored by John L. Penner

Since Specialization
Citations

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

Fields of papers citing papers by John L. Penner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside John L. Penner, 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 L. Penner Line = papers co-authored together John L. Penner links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1994179
2 199368
3 199744
4 199741
5 199734
6 199222
7 198222
8 199521
9 199018
10 198415
11 198514
12 198114
13 197412
14 19733

About John L. Penner

John L. Penner is a scholar working on Molecular Biology, Immunology, Food Science, Infectious Diseases and Organic Chemistry, having authored 14 papers that have together received 507 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (6 papers), Salmonella and Campylobacter epidemiology (5 papers), Carbohydrate Chemistry and Synthesis (4 papers), Aquaculture disease management and microbiota (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Galectins and Cancer Biology (2 papers), Microbial infections and disease research (2 papers) and Bacterial Identification and Susceptibility Testing (2 papers). The work is most often cited by research in Endocrinology (79 citations), Neurology (145 citations), Food Science (176 citations), Infectious Diseases (113 citations) and Cellular and Molecular Neuroscience (93 citations). John L. Penner has collaborated with scholars based in Canada, Norway and Ireland. Frequent co-authors include Gerald O. Aspinall, L A Kurjanczyk, Henrianna Pang, Armando G. McDonald, Mário A. Monteiro, G. O. Aspinall, T. Shantha Raju, Anthony P. Moran, N A Hinton and J N Hennessy. Their work appears in journals such as Carbohydrate Research, European Journal of Biochemistry, Canadian Journal of Microbiology, The Journal of Infectious Diseases and Journal of Infection.

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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