J.C. Schabort

555 citations
49 papers · 429 · h-index 13

Impact in

    • Mycotoxins in Agriculture and Food
    • Postharvest Quality and Shelf Life Management
    • Phytochemicals and Antioxidant Activities

Papers in

J.C. Schabort

47 papers receiving 337 citations

Peers

J.C. Schabort
Comparison fields: 5 of 74
  • Plant Science 155
  • Biochemistry 24
  • Biochemistry 22
  • Pharmacology 45
  • Molecular Biology 193
Replace Mitsuru Niwano with:
Mitsuru Niwano Japan
Hans‐Adolf Arfmann Germany
A. J. Lemin United States
Abdellatif Fkyerat France
W. L. Fowlks United States
John A. Steele United States
Gunhild E. Siboska Denmark
Robert B. Koch United States
I. Muckenschnabel Germany
G. A. Swan United Kingdom
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Citations per field
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Mitsuru Niwano · 1×
Citations per year

Countries citing papers authored by J.C. Schabort

Since Specialization
Citations

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

Fields of papers citing papers by J.C. Schabort

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196936
2 198734
3 197129
4 197422
5 197318
6 197618
7 197117
8 198416
9 198515
10 197414
11 197212
12 197512
13 197212
14 198111
15 197110
16 19689
17 19868
18 19868
19 19787
20 19737

About J.C. Schabort

J.C. Schabort is a scholar working on Molecular Biology, Plant Science, Cellular and Molecular Neuroscience, Oncology and Electrical and Electronic Engineering, having authored 49 papers that have together received 429 indexed citations. Recurring topics across this work include Mycotoxins in Agriculture and Food (7 papers), Electrochemical sensors and biosensors (7 papers), Enzyme function and inhibition (6 papers), Food Quality and Safety Studies (5 papers), Peptidase Inhibition and Analysis (5 papers), Nitric Oxide and Endothelin Effects (4 papers), GABA and Rice Research (4 papers) and Enzyme Structure and Function (4 papers). The work is most often cited by research in Plant Science (155 citations), Biochemistry (24 citations), Biochemistry (22 citations), Pharmacology (45 citations) and Molecular Biology (193 citations). J.C. Schabort has collaborated with scholars based in South Africa and United States. Frequent co-authors include Ian A. Dubery, M. Steyn, D.J.J. Potgieter, Daniël J. Steenkamp, Cornelis C. Viljoen, L. Frylinck, M.J. Pitout, P.J. Du Toit, Dawie P. Botes and Heini W. Dirr. Their work appears in journals such as Phytochemistry, Biochemical Pharmacology, Chemico-Biological Interactions, Journal of Chromatography A and Toxicon.

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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