H. Veldstra

1.9k citations
57 papers · 1.3k · h-index 20

Impact in

Papers in

    • Plant tissue culture and regeneration 5
    • Metabolomics and Mass Spectrometry Studies 3
    • Genomics, phytochemicals, and oxidative stress 3
    • RNA and protein synthesis mechanisms 3
    • Plant Virus Research Studies 8
    • Plant-Microbe Interactions and Immunity 3

H. Veldstra

55 papers receiving 1.1k citations

Peers

H. Veldstra
Comparison fields: 5 of 101
  • Clinical Biochemistry 118
  • Biochemistry 119
  • Endocrinology 79
  • Cellular and Molecular Neuroscience 224
  • Plant Science 464
Replace Gerald Cohen with:
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Carlos Červeñanský Uruguay
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Raúl E. Trucco Argentina
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H. Veldstra relative to Gerald Cohen Israel Gerald Cohen's profile →
Citations per field
00.5×3.2×
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Citations per year

Countries citing papers authored by H. Veldstra

Since Specialization
Citations

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

Fields of papers citing papers by H. Veldstra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1958146
2 196598
3 195383
4
Synergism and potentiation with special reference to the combination of structural analogues.
195668
5 196565
6 197161
7 197052
8 196850
9 196745
10 197242
11 195140
12 196936
13 197535
14 197524
15 196424
16 197222
17 195421
18 196920
19 195620
20 195119

About H. Veldstra

H. Veldstra is a scholar working on Molecular Biology, Plant Science, Organic Chemistry, Ecology and Clinical Biochemistry, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Plant Virus Research Studies (8 papers), Metabolism and Genetic Disorders (7 papers), Bacteriophages and microbial interactions (6 papers), Plant tissue culture and regeneration (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Plant-Microbe Interactions and Immunity (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Clinical Biochemistry (118 citations), Biochemistry (119 citations), Endocrinology (79 citations), Cellular and Molecular Neuroscience (224 citations) and Plant Science (464 citations). H. Veldstra has collaborated with scholars based in Netherlands and United Kingdom. Frequent co-authors include J.M. Kaper, C. J. Van den Berg, Godfried M.J. Van Kempen, John F. Bol, H J van der Helm, Victor J. Nickolson, E.M.J. Jaspars, J. P. Schadé, R. A. Schilperoort and Barend Kraal. Their work appears in journals such as Physiologia Plantarum, Virology, FEBS Letters, Archives of Biochemistry and Biophysics and Journal of Neurochemistry.

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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