S. Baumberg

2.8k citations
79 papers · 2.2k · h-index 28

Impact in

Papers in

    • RNA and protein synthesis mechanisms 14
    • Polyamine Metabolism and Applications 13
    • Bacterial Genetics and Biotechnology 32

S. Baumberg

78 papers receiving 2.1k citations

Peers

S. Baumberg
Comparison fields: 5 of 109
  • Molecular Medicine 260
  • Biochemistry 203
  • Biotechnology 229
  • Genetics 708
  • Pharmacology 375
Replace Yair Aharonowitz with:
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J. Davies United States
J. B. Ward Tanzania
Kazuo Izaki Japan
Francis C. Neuhaus United States
Mark S. B. Paget United Kingdom
Stephen G. Wilkinson United Kingdom
Chung‐Dar Lu United States
Kenneth Duncan United Kingdom
Yasutaro Fujita Japan
S. Baumberg relative to Yair Aharonowitz Israel Yair Aharonowitz's profile →
Citations per field
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Yair Aharonowitz · 1×
Citations per year

Countries citing papers authored by S. Baumberg

Since Specialization
Citations

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

Fields of papers citing papers by S. Baumberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990287
2 2005127
3 1975125
4 1973104
5 199271
6 199769
7 199369
8 197265
9 199562
10 199761
11 199446
12 200243
13 198942
14 198941
15 198441
16 197740
17 199539
18 199639
19 197539
20 200038

About S. Baumberg

S. Baumberg is a scholar working on Molecular Biology, Genetics, Ecology, Pharmacology and Materials Chemistry, having authored 79 papers that have together received 2.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (32 papers), Bacteriophages and microbial interactions (19 papers), Microbial Natural Products and Biosynthesis (14 papers), RNA and protein synthesis mechanisms (14 papers), Polyamine Metabolism and Applications (13 papers), Enzyme Structure and Function (12 papers), Amino Acid Enzymes and Metabolism (9 papers) and Cancer Research and Treatments (8 papers). The work is most often cited by research in Molecular Medicine (260 citations), Biochemistry (203 citations), Biotechnology (229 citations), Genetics (708 citations) and Pharmacology (375 citations). S. Baumberg has collaborated with scholars based in United Kingdom, Belgium and France. Frequent co-authors include Jonathan H. Cove, Peter G. Stockley, E. Anne Eady, J.I. Ross, Margaret C. M. Smith, R. W. Hedges, John C. Wootton, W.J. Cunliffe, Anne North and Andrew Mountain. Their work appears in journals such as Microbiology, Gene, Molecular Microbiology, Journal of Bacteriology and Journal of Molecular Biology.

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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