S. Baumberg

2.8k citations
84 papers · 2.5k · h-index 28

Impact in

Papers in

    • RNA and protein synthesis mechanisms 15
    • Polyamine Metabolism and Applications 14
    • Bacterial Genetics and Biotechnology 32

S. Baumberg

83 papers receiving 2.3k citations

Peers

S. Baumberg
Comparison fields: 5 of 108
  • Molecular Medicine 284
  • Biochemistry 245
  • Biotechnology 243
  • Genetics 753
  • Pharmacology 390
Replace J. B. Ward with:
J. B. Ward United Kingdom
Yair Aharonowitz Israel
Kazuo Izaki Japan
J. Davies United States
Georg Thierbach Germany
Stephen G. Wilkinson United Kingdom
Chung‐Dar Lu United States
Yasutaro Fujita Japan
Harry Taber United States
Kenneth Duncan United Kingdom
S. Baumberg relative to J. B. Ward United Kingdom J. B. Ward's profile →
Citations per field
00.5×2.8×
J. B. Ward · 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 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990316
2 1975167
3 2005130
4 1973124
5 199276
6 199373
7 199772
8 199772
9 197268
10 199568
11 199447
12 198947
13 197747
14 199646
15 198945
16 200244
17 198444
18 200041
19 199541
20 196840

About S. Baumberg

S. Baumberg is a scholar working on Molecular Biology, Genetics, Ecology, Pharmacology and Materials Chemistry, having authored 84 papers that have together received 2.5k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (32 papers), Bacteriophages and microbial interactions (20 papers), RNA and protein synthesis mechanisms (15 papers), Microbial Natural Products and Biosynthesis (15 papers), Polyamine Metabolism and Applications (14 papers), Enzyme Structure and Function (13 papers), Amino Acid Enzymes and Metabolism (10 papers) and Cancer Research and Treatments (8 papers). The work is most often cited by research in Molecular Medicine (284 citations), Biochemistry (245 citations), Biotechnology (243 citations), Genetics (753 citations) and Pharmacology (390 citations). S. Baumberg has collaborated with scholars based in United Kingdom, Belgium and United States. Frequent co-authors include Jonathan H. Cove, E. Anne Eady, Peter G. Stockley, 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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