Eva Knoch

702 citations
12 papers · 477 · h-index 9

Impact in

    • Polysaccharides and Plant Cell Walls
    • Plant Molecular Biology Research
  • Biochemistry top 10%
    • Lipid metabolism and biosynthesis

Papers in

    • Plant biochemistry and biosynthesis 5
    • Plant Gene Expression Analysis 2
    • Ubiquitin and proteasome pathways 1
    • Polysaccharides and Plant Cell Walls 2
    • Allelopathy and phytotoxic interactions 2

Eva Knoch

11 papers receiving 472 citations

Peers

Eva Knoch
Comparison fields: 5 of 53
  • Plant Science 306
  • Biochemistry 57
  • Complementary and alternative medicine 41
  • Biotechnology 40
  • Molecular Biology 269
Replace Guodong Rao with:
Guodong Rao China
Benedikt Athmer Germany
Harsharan Singh India
James F. Todd Canada
Nishi Kumari India
Qiuhui Wei China
Vahid Omidvar Malaysia
Lichai Yuan China
Era Vaidya Malhotra India
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Citations per field
00.5×2×3×4.3×
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Citations per year

Countries citing papers authored by Eva Knoch

Since Specialization
Citations

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

Fields of papers citing papers by Eva Knoch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201887
2 201485
3 201379
4 201952
5 201849
6 201635
7 201732
8 201631
9 202424
10 20252
11 20221
12 20260

About Eva Knoch

Eva Knoch is a scholar working on Molecular Biology, Plant Science, Complementary and alternative medicine, Food Science and Nutrition and Dietetics, having authored 12 papers that have together received 477 indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (5 papers), Phytochemicals and Medicinal Plants (3 papers), Plant Gene Expression Analysis (2 papers), Polysaccharides and Plant Cell Walls (2 papers), Allelopathy and phytotoxic interactions (2 papers), Polysaccharides Composition and Applications (2 papers), Ubiquitin and proteasome pathways (1 paper) and Microbial Metabolites in Food Biotechnology (1 paper). The work is most often cited by research in Plant Science (306 citations), Biochemistry (57 citations), Complementary and alternative medicine (41 citations), Biotechnology (40 citations) and Molecular Biology (269 citations). Eva Knoch has collaborated with scholars based in Japan, Denmark and Germany. Frequent co-authors include Adiphol Dilokpimol, Naomi Geshi, Kazuki Saito, Atsushi Fukushima, Tetsuya Mori, Yozo Okazaki, Yasuhiro Higashi, Kazuo Shinozaki, Michael F. Lyngkjær and Satoko Sugawara. Their work appears in journals such as The Plant Journal, Frontiers in Plant Science, Proceedings of the National Academy of Sciences, BMC Plant Biology and Planta.

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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