John Cullum

3.6k citations
113 papers · 3.1k · h-index 30

Impact in

Papers in

    • Genomics and Phylogenetic Studies 27
    • RNA and protein synthesis mechanisms 18
    • Microbial Metabolic Engineering and Bioproduction 9
    • Microbial Natural Products and Biosynthesis 36

John Cullum

108 papers receiving 2.9k citations

Peers

John Cullum
Comparison fields: 5 of 108
  • Pharmacology 1.2k
  • Microbiology 40
  • Biotechnology 355
  • Molecular Biology 2.0k
  • Molecular Medicine 121
Replace Hildgund Schrempf with:
Hildgund Schrempf Germany
Klas Flärdh Sweden
Flavia Marinelli Italy
Haruyasu Kinashi Japan
Maureen J. Bibb United Kingdom
Sébastien Rigali Belgium
Zachary Charlop–Powers United States
Jerald C. Ensign United States
Marc G. Chevrette United States
Francisco Barona‐Gómez Mexico
John Cullum relative to Hildgund Schrempf Germany Hildgund Schrempf's profile →
Citations per field
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Hildgund Schrempf · 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 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996477
2 2008180
3 1993125
4 2008113
5 1984104
6 2005101
7 200691
8 198483
9 199372
10 199864
11 197861
12 199461
13 199360
14 198658
15 200456
16 198556
17 199752
18 201348
19 198747
20 200740

About John Cullum

John Cullum is a scholar working on Molecular Biology, Pharmacology, Plant Science, Ecology and Genetics, having authored 113 papers that have together received 3.1k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (36 papers), Genomics and Phylogenetic Studies (27 papers), RNA and protein synthesis mechanisms (18 papers), Bacteriophages and microbial interactions (18 papers), Bacterial Genetics and Biotechnology (17 papers), Plant Disease Resistance and Genetics (14 papers), Microbial Metabolic Engineering and Bioproduction (9 papers) and Plant Pathogens and Fungal Diseases (8 papers). The work is most often cited by research in Pharmacology (1.2k citations), Microbiology (40 citations), Biotechnology (355 citations), Molecular Biology (2.0k citations) and Molecular Medicine (121 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, Haruyasu Kinashi, Dalia Denapaite, Alexander Eichner, Helen M. Kieser and Jurica Žučko. Their work appears in journals such as Journal of Industrial Microbiology & Biotechnology, Microbiology, Food Technology and Biotechnology, 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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