H E Grenett

719 citations
16 papers · 600 · h-index 11

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 2
    • Metabolomics and Mass Spectrometry Studies 2
    • Signaling Pathways in Disease 1
    • Metabolism and Genetic Disorders 4

H E Grenett

16 papers receiving 583 citations

Peers

H E Grenett
Comparison fields: 5 of 82
  • Clinical Biochemistry 114
  • Cancer Research 110
  • Biochemistry 38
  • Biochemistry 41
  • Biological Psychiatry 14
Replace J Michaelis with:
J Michaelis New Zealand
Cédric R. Picot France
Zongzhong Tong United States
Franca Saccucci Italy
Merei Huigsloot Netherlands
Pen-Hui Yin Taiwan
Paulo Ottino United States
Arun Raturi Canada
Eun Wie Cho South Korea
Gerardo M. Castillo United States
H E Grenett relative to J Michaelis New Zealand J Michaelis's profile →
Citations per field
00.5×2.8×
J Michaelis · 1×
Citations per year

Countries citing papers authored by H E Grenett

Since Specialization
Citations

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

Fields of papers citing papers by H E Grenett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1987150
2 198786
3 199379
4
Polyphyenolics increase t-PA and u-PA gene transcription in cultured human endothelial cells.
200154
5 198752
6 198644
7 200530
8 199030
9 199023
10 200817
11 199512
12
Identification and quantitation of sickle cell hemoglobin with an enzyme-linked immunosorbent assay (ELISA).
19808
13 20076
14 19794
15 20043
16 19822

About H E Grenett

H E Grenett is a scholar working on Molecular Biology, Clinical Biochemistry, Cancer Research, Oncology and Epidemiology, having authored 16 papers that have together received 600 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (4 papers), Protease and Inhibitor Mechanisms (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Phytochemicals and Antioxidant Activities (2 papers) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Clinical Biochemistry (114 citations), Cancer Research (110 citations), Biochemistry (38 citations), Biochemistry (41 citations) and Biological Psychiatry (14 citations). H E Grenett has collaborated with scholars based in United States and Myanmar. Frequent co-authors include Fred D. Ledley, S L Woo, Savio L.C. Woo, Gerald M. Fuller, Malena Bodden, Jeffrey A. Engler, L. Jack Windsor, B Birkedal‐Hansen, Henning Birkedal‐Hansen and François M. Booyse. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, The Journal of Cell Biology, Biochemical Journal and Experimental Cell Research.

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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