Rob Till

1.5k citations
26 papers · 1.1k · h-index 15

Impact in

Papers in

    • Bacterial biofilms and quorum sensing 9
    • Genomics and Phylogenetic Studies 4
    • RNA and protein synthesis mechanisms 2
    • Bacterial Genetics and Biotechnology 15

Rob Till

26 papers receiving 1.0k citations

Peers

Rob Till
Comparison fields: 5 of 77
  • Endocrinology 261
  • Molecular Medicine 91
  • Pharmacology 251
  • Genetics 364
  • Ecology 292
Replace Natalia Tschowri with:
Natalia Tschowri Germany
Yoko Eguchi Japan
Julie P. M. Viala France
Nicolas Bayan France
Martin Cohen‐Gonsaud France
Kathrin Schirner United States
Rita E. Monson United Kingdom
Alison K. Hottes United States
H. Bart van den Berg van Saparoea Netherlands
Sophie Brameyer Germany
Rob Till relative to Natalia Tschowri Germany Natalia Tschowri's profile →
Citations per field
00.5×1.5×
Natalia Tschowri · 1×
Citations per year

Countries citing papers authored by Rob Till

Since Specialization
Citations

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

Fields of papers citing papers by Rob Till

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003232
2 2006118
3 2002113
4 201791
5 199586
6 200447
7 201242
8 200739
9 201339
10 201437
11 201535
12 202034
13 202031
14 201923
15 201919
16 202414
17 201114
18 202013
19 202212
20 201911

About Rob Till

Rob Till is a scholar working on Molecular Biology, Genetics, Ecology, Endocrinology and Molecular Medicine, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (15 papers), Bacteriophages and microbial interactions (10 papers), Bacterial biofilms and quorum sensing (9 papers), Vibrio bacteria research studies (9 papers), Genomics and Phylogenetic Studies (4 papers), Antibiotic Resistance in Bacteria (4 papers), Microbial Community Ecology and Physiology (3 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Endocrinology (261 citations), Molecular Medicine (91 citations), Pharmacology (251 citations), Genetics (364 citations) and Ecology (292 citations). Rob Till has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Margaret C. M. Smith, Matthew A. Gregory, R. Elizabeth Sockett, Carey Lambert, H. F. J. Bligh, C. A. Jones, Patricia Combes, Michael J. Capeness, Laura Hobley and Shin‐Ichi Aizawa. Their work appears in journals such as Molecular Microbiology, Journal of Bacteriology, Nature Communications, PLoS Genetics and Nature Microbiology.

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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