John Cullum

3.6k total citations
106 papers, 2.8k citations indexed

About

John Cullum is a scholar working on Molecular Biology, Pharmacology and Plant Science. According to data from OpenAlex, John Cullum has authored 106 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 35 papers in Pharmacology and 29 papers in Plant Science. Recurrent topics in John Cullum's work include Microbial Natural Products and Biosynthesis (35 papers), Genomics and Phylogenetic Studies (29 papers) and RNA and protein synthesis mechanisms (19 papers). John Cullum is often cited by papers focused on Microbial Natural Products and Biosynthesis (35 papers), Genomics and Phylogenetic Studies (29 papers) and RNA and protein synthesis mechanisms (19 papers). John Cullum collaborates with scholars based in Germany, United Kingdom and Croatia. John Cullum's co-authors include Daslav Hranueli, Paul F. Long, Josef Altenbuchner, Matthias Redenbach, Antonio Starčević, Haruyasu Kinashi, Dalia Denapaite, Helen M. Kieser, Alexander Eichner and David A. Hopwood and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

John Cullum

102 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Cullum Germany 29 2.0k 1.1k 718 566 514 106 2.8k
Hildgund Schrempf Germany 35 2.5k 1.3× 824 0.8× 1.2k 1.6× 354 0.6× 691 1.3× 107 3.8k
Klas Flärdh Sweden 33 2.4k 1.2× 1.5k 1.4× 685 1.0× 732 1.3× 1.4k 2.7× 60 3.5k
Sébastien Rigali Belgium 31 1.9k 1.0× 1.3k 1.2× 751 1.0× 348 0.6× 544 1.1× 74 3.0k
Flavia Marinelli Italy 33 1.9k 1.0× 1.2k 1.1× 598 0.8× 503 0.9× 153 0.3× 127 3.3k
Mark S. B. Paget United Kingdom 25 2.2k 1.1× 771 0.7× 292 0.4× 438 0.8× 1.0k 2.0× 27 3.0k
Matthew F. Traxler United States 19 1.2k 0.6× 565 0.5× 328 0.5× 407 0.7× 517 1.0× 30 2.0k
David P. Labeda United States 36 2.4k 1.3× 1.4k 1.2× 1.2k 1.7× 657 1.2× 98 0.2× 99 3.8k
Marie A. Elliot Canada 30 1.5k 0.7× 1.0k 0.9× 505 0.7× 298 0.5× 367 0.7× 55 2.1k
Michelle R. Rondon United States 13 2.1k 1.1× 373 0.3× 338 0.5× 1.1k 1.9× 209 0.4× 17 2.9k
Francisco Barona‐Gómez Mexico 23 1.6k 0.8× 1.2k 1.1× 428 0.6× 252 0.4× 197 0.4× 61 2.4k

Countries citing papers authored by John Cullum

Since Specialization
Citations

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

Fields of papers citing papers by John Cullum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Cullum

This figure shows the co-authorship network connecting the top 25 collaborators of John Cullum. A scholar is included among the top collaborators of John Cullum 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 John Cullum. John Cullum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gaćeša, Ranko, Jurica Žučko, Sólveig K. Pétursdóttir, et al.. (2017). MEGGASENSE - the Metagenome/Genome Annotated Sequence Natural Language Search Engine: a Platform for the Construction of Sequence Data Warehouses. Food Technology and Biotechnology. 55(2). 251–257. 1 indexed citations
2.
Starčević, Antonio, Ana M. Moura‐da‐Silva, John Cullum, Daslav Hranueli, & Paul F. Long. (2015). Combinations of long peptide sequence blocks can be used to describe toxin diversification in venomous animals. Toxicon. 95. 84–92. 8 indexed citations
3.
Hranueli, Daslav, Antonio Starčević, Jurica Žučko, et al.. (2013). Synthetic Biology: A Novel Approach for the Construction of Industrial Microorganisms. SHILAP Revista de lepidopterología. 3 indexed citations
4.
5.
Cullum, John, et al.. (2012). Analysis of a comprehensive dataset of diversity generating retroelements generated by the program DiGReF. BMC Genomics. 13(1). 430–430. 25 indexed citations
6.
Starčević, Antonio, et al.. (2010). From DNA Sequences to Chemical Structures – Methods for Mining Microbial Genomic and Metagenomic Data Sets for New Natural Products. SHILAP Revista de lepidopterología. 6 indexed citations
7.
8.
Žučko, Jurica, Sibylle Heidelberger, Dušica Vujaklija, et al.. (2008). Proposed Arrangement of Proteins Forming a Bacterial Type II Polyketide Synthase. Chemistry & Biology. 15(11). 1156–1165. 7 indexed citations
9.
Starčević, Antonio, Marcel Jaspars, John Cullum, Daslav Hranueli, & Paul F. Long. (2006). Predicting the Nature and Timing of Epimerisation on a Modular Polyketide Synthase. ChemBioChem. 8(1). 28–31. 16 indexed citations
10.
Denapaite, Dalia, et al.. (2005). Persistence of the Chromosome End Regions at Low Copy Number in Mutant Strains of Streptomyces rimosus and Streptomyces lividans. Food Technology and Biotechnology. 43(1). 9–17. 6 indexed citations
11.
Thomidis, T., C. Tsipouridis, & John Cullum. (2002). Pathogenicity and relative virulence of 11 Greek Phytophthora species on apple and pear rootstocks. New Zealand Journal of Crop and Horticultural Science. 30(4). 261–264. 4 indexed citations
12.
Hranueli, Daslav & John Cullum. (2001). Production of hybrid polyketides by combinatorial biosynthesis. Kemija u industriji. 50. 381–411.
13.
Hranueli, Daslav, et al.. (2000). Molecular biology of polyketide biosynthesis. Food Technology and Biotechnology. 39(3). 203–213. 11 indexed citations
14.
Hranueli, Daslav, Hrvoje Petković, Goran Biuković, et al.. (1999). Novel Hybrid Polyketide Compounds Produced by Genetic Engineering of the Oxytetracycline Biosynthetic Pathway. Food Technology and Biotechnology. 37(2). 117–125. 6 indexed citations
15.
Redenbach, Matthias, Helen M. Kieser, Dalia Denapaite, et al.. (1996). A set of ordered cosmids and a detailed genetic and physical map for the 8 Mb Streptomyces coelicolor A3(2) chromosome. Molecular Microbiology. 21(1). 77–96. 463 indexed citations
16.
Cullum, John, et al.. (1994). High G + C-content DNA markers for pulsed-field gel electrophoresis.. PubMed. 16(1). 52–52. 8 indexed citations
17.
Pigac, Jasenka, et al.. (1994). The 387 kb linear plasmid pPZG101 of Streptomyces rimosus and its interactions with the chromosome. Microbiology. 140(9). 2271–2277. 52 indexed citations
18.
Kaiser, Peter, Fiona Flett, & John Cullum. (1992). Stabilization of Streptomyces lividans by Homologous Recombinational Insertion. Nature Biotechnology. 10(5). 570–573. 3 indexed citations
19.
Kendall, Kevin, et al.. (1990). Spontaneous mutations in the galactose operons of Streptomyces coelicolor A3 (2) and Streptomyces lividans 66. Journal of Basic Microbiology. 30(5). 307–312. 1 indexed citations
20.
Metzlaff, M., et al.. (1986). Wheat specific repetitive DNA sequences ? construction and characterization of four different genomic clones. Theoretical and Applied Genetics. 72(2). 207–210. 55 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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