John Cullum

3.5k citations
100 papers · 3k · h-index 29

Impact in

  • Pharmacology top 0.5%
    • Microbial Natural Products and Biosynthesis
  • Genetics top 2%
    • Bacterial Genetics and Biotechnology

Papers in

    • Microbial Natural Products and Biosynthesis 38
    • Bacterial Genetics and Biotechnology 54

John Cullum

98 papers receiving 2.8k citations

Peers

John Cullum
Comparison fields: 5 of 86
  • Pharmacology 1.2k
  • Genetics 1.2k
  • Biotechnology 185
  • Pollution 172
  • Molecular Biology 552
Replace Helen M. Kieser with:
Helen M. Kieser United Kingdom
Andreas Wietzorrek United Kingdom
Sébastien Rigali Belgium
Pierre Leblond France
Klas Flärdh Sweden
S. Baumberg United Kingdom
Mark S. B. Paget United Kingdom
Silke Pradella Germany
Aiying Li China
F. Scoffone Italy
John Cullum relative to Helen M. Kieser United Kingdom Helen M. Kieser's profile →
Citations per field
00.5×1.5×2.2×
Helen M. Kieser · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996472
2 2008182
3 1993124
4 2008110
5 1984104
6 2005101
7 200692
8 198483
9 199370
10 197864
11 199864
12 199462
13 199359
14 200458
15 198657
16 198555
17 199752
18 201349
19 198745
20 200740

About John Cullum

John Cullum is a scholar working on Pharmacology, Genetics, Molecular Biology, Biotechnology and Pollution, having authored 100 papers that have together received 3k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (54 papers), Microbial Natural Products and Biosynthesis (38 papers), Genomics and Phylogenetic Studies (7 papers), Microbial metabolism and enzyme function (4 papers), Enzyme Production and Characterization (3 papers), Enzyme Catalysis and Immobilization (3 papers), Microbial bioremediation and biosurfactants (3 papers) and Photodynamic Therapy Research Studies (2 papers). The work is most often cited by research in Pharmacology (1.2k citations), Genetics (1.2k citations), Biotechnology (185 citations), Pollution (172 citations) and Molecular Biology (552 citations). John Cullum has collaborated with scholars based in Germany, United Kingdom and Croatia. Frequent co-authors include Daslav Hranueli, Paul F. Long, Josef Altenbuchner, Matthias Redenbach, Antonio Starčević, Jurica Žučko, Haruyasu Kinashi, Dalia Denapaite, Alexander Eichner and Helen M. Kieser. Their work appears in journals such as Journal of Industrial Microbiology & Biotechnology, Food Technology and Biotechnology, Microbiology, Journal of Bacteriology and BMC Genomics.

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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