Gerhardt J. Boukes

405 total citations
19 papers, 282 citations indexed

About

Gerhardt J. Boukes is a scholar working on Molecular Biology, Pharmacology and Pharmacology. According to data from OpenAlex, Gerhardt J. Boukes has authored 19 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Pharmacology and 4 papers in Pharmacology. Recurrent topics in Gerhardt J. Boukes's work include Phytochemistry and Bioactivity Studies (4 papers), Fungal Biology and Applications (4 papers) and Bioactive Compounds and Antitumor Agents (3 papers). Gerhardt J. Boukes is often cited by papers focused on Phytochemistry and Bioactivity Studies (4 papers), Fungal Biology and Applications (4 papers) and Bioactive Compounds and Antitumor Agents (3 papers). Gerhardt J. Boukes collaborates with scholars based in South Africa, United States and Ireland. Gerhardt J. Boukes's co-authors include Maryna van de Venter, Andreas U. Lindner, Jochen H.M. Prehn, Heinrich J. Huber, Navneet Kishore, Namrita Lall, Deborah A. McNamara, Trevor Koekemoer, Frank Murray and Caoimhín G. Concannon and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Journal of Ethnopharmacology.

In The Last Decade

Gerhardt J. Boukes

17 papers receiving 268 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gerhardt J. Boukes South Africa 10 156 63 34 32 31 19 282
Sharada H. Sharma India 8 144 0.9× 47 0.7× 43 1.3× 37 1.2× 30 1.0× 9 326
Ariyaphong Wongnoppavich Thailand 12 126 0.8× 47 0.7× 25 0.7× 29 0.9× 32 1.0× 34 339
Feixuan Wang China 7 137 0.9× 58 0.9× 55 1.6× 42 1.3× 30 1.0× 11 351
Alessia Roma Canada 11 162 1.0× 50 0.8× 22 0.6× 34 1.1× 23 0.7× 17 324
Patompong Khaw-on Thailand 10 194 1.2× 54 0.9× 30 0.9× 38 1.2× 17 0.5× 11 346
Prabath Gopalakrishnan Biju India 12 152 1.0× 67 1.1× 19 0.6× 25 0.8× 46 1.5× 20 360
Robert T. Streeper United States 8 118 0.8× 99 1.6× 55 1.6× 32 1.0× 29 0.9× 21 333
Jang Mi Han South Korea 12 217 1.4× 62 1.0× 56 1.6× 36 1.1× 21 0.7× 20 376
Debolina Pal India 9 161 1.0× 56 0.9× 20 0.6× 33 1.0× 22 0.7× 18 307

Countries citing papers authored by Gerhardt J. Boukes

Since Specialization
Citations

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

Fields of papers citing papers by Gerhardt J. Boukes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerhardt J. Boukes

This figure shows the co-authorship network connecting the top 25 collaborators of Gerhardt J. Boukes. A scholar is included among the top collaborators of Gerhardt J. Boukes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gerhardt J. Boukes. Gerhardt J. Boukes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
2.
Cochin, Maxime, Jean‐Sélim Driouich, Caroline Laprie, et al.. (2024). Preclinical evaluation in hamster model of the mRNA COVID-19 vaccine candidate AfriVac 2121 (Wuhan) produced under the WHO/MPP mRNA Technology Transfer Programme. Vaccine. 42(26). 126378–126378.
3.
Boukes, Gerhardt J., et al.. (2024). Investigation of the inhibition of respiratory bacterial pathogens and HIV-1 enzymes by twenty-one South African mushroom species. South African Journal of Botany. 166. 375–385. 2 indexed citations
4.
Venter, Maryna van de, et al.. (2021). Therapeutic potential of selected South African macrofungi in diabetic wound healing: An in vitro evaluation. South African Journal of Botany. 138. 337–347. 6 indexed citations
5.
6.
Boukes, Gerhardt J., et al.. (2017). Cytotoxicity of thirteen South African macrofungal species against five cancer cell lines. South African Journal of Botany. 113. 62–67. 12 indexed citations
7.
Boukes, Gerhardt J. & Maryna van de Venter. (2016). The apoptotic and autophagic properties of two natural occurring prodrugs, hyperoside and hypoxoside, against pancreatic cancer cell lines. Biomedicine & Pharmacotherapy. 83. 617–626. 31 indexed citations
8.
Lall, Namrita, Navneet Kishore, Danielle Twilley, et al.. (2015). Cytotoxicity of syringin and 4-methoxycinnamyl alcohol isolated fromFoeniculum vulgareon selected human cell lines. Natural Product Research. 29(18). 1752–1756. 22 indexed citations
9.
Boukes, Gerhardt J. & Maryna van de Venter. (2015). In vitro modulation of the innate immune response and phagocytosis by three Hypoxis spp. and their phytosterols. South African Journal of Botany. 102. 120–126. 10 indexed citations
10.
Kishore, Navneet, Anita Mahapatra, Maryna van de Venter, et al.. (2014). Cytotoxicity of synthesized 1,4-naphthoquinone analogues on selected human cancer cell lines. Bioorganic & Medicinal Chemistry. 22(17). 5013–5019. 26 indexed citations
11.
Lindner, Andreas U., Caoimhín G. Concannon, Gerhardt J. Boukes, et al.. (2013). Systems Analysis of BCL2 Protein Family Interactions Establishes a Model to Predict Responses to Chemotherapy. Cancer Research. 73(2). 519–528. 79 indexed citations
12.
Boukes, Gerhardt J. & Maryna van de Venter. (2012). Rooperol as an antioxidant and its role in the innate immune system: An in vitro study. Journal of Ethnopharmacology. 144(3). 692–699. 17 indexed citations
13.
Schmid, Jasmin, Heiko Düßmann, Gerhardt J. Boukes, et al.. (2012). Systems Analysis of Cancer Cell Heterogeneity in Caspase-dependent Apoptosis Subsequent to Mitochondrial Outer Membrane Permeabilization. Journal of Biological Chemistry. 287(49). 41546–41559. 18 indexed citations
14.
Boukes, Gerhardt J. & Maryna van de Venter. (2011). Cytotoxicity and mechanism(s) of action of Hypoxis spp. (African potato) against HeLa, HT-29 and MCF-7 cancer cell lines. Journal of Medicinal Plants Research. 5(13). 2766–2774. 6 indexed citations
15.
Boukes, Gerhardt J., Brodie Daniels, C. Albrecht, & Maryna van de Venter. (2009). Cell Survival or Apoptosis: Rooperol's Role as Anticancer Agent. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 18(8). 365–376. 12 indexed citations
16.
Boukes, Gerhardt J., et al.. (2008). Quantitative and qualitative analysis of sterols/sterolins and hypoxoside contents of three Hypoxis (African potato) spp.. AFRICAN JOURNAL OF BIOTECHNOLOGY. 7(11). 1624–1629. 25 indexed citations
17.
Frank, Hartmut, Gerhardt J. Boukes, & Graeme Nicholson. (1985). Quantitative gas chromatography using a new automated derivatizer. Journal of High Resolution Chromatography. 8(8). 411–414. 4 indexed citations
18.
Boukes, Gerhardt J., et al.. (1984). Automated pre-column derivatization in gas chromatography amino acid analysis via enantiomer labelling: An application of autoderivat 100. Chromatographia. 19(1). 251–253. 4 indexed citations
19.
Frank, Hartmut, et al.. (1984). Automated derivatization and gas chromatographie analysis. Fresenius Zeitschrift für Analytische Chemie. 317(6). 688–689. 4 indexed citations

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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