E. MEYNELL

985 citations
20 papers · 900 · h-index 13

Impact in

Papers in

    • Bacteriophages and microbial interactions 11
    • Genomics and Phylogenetic Studies 5
    • Glycosylation and Glycoproteins Research 2
    • Bacillus and Francisella bacterial research 2

E. MEYNELL

20 papers receiving 695 citations

Peers

E. MEYNELL
Comparison fields: 5 of 94
  • Molecular Medicine 151
  • Endocrinology 106
  • Ecology 341
  • Genetics 283
  • Microbiology 49
Replace Tokumitsu Tanaka with:
Tokumitsu Tanaka Japan
Claire M. Berg United States
A. Edelman United Kingdom
D. Haas Switzerland
Jacques J. Pène United States
A F Morgan Australia
E W Goodell Germany
Nigel J. Grinter United Kingdom
Makoto KAGEYAMA Japan
N. Garber Israel
E. MEYNELL relative to Tokumitsu Tanaka Japan Tokumitsu Tanaka's profile →
Citations per field
00.5×
Tokumitsu Tanaka · 1×
Citations per year

Countries citing papers authored by E. MEYNELL

Since Specialization
Citations

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

Fields of papers citing papers by E. MEYNELL

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside E. MEYNELL, 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 E. MEYNELL Line = papers co-authored together E. MEYNELL links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1968274
2
Theory and practice in experimental bacteriology. 2nd Edition.
1970126
3 1961106
4 196890
5 196651
6 196840
7 196739
8 196433
9 196831
10
Mixed infections with bacterial sex factors: sex pili of pure and mixed phenotype.
197121
11
Topley and Wilson's Principles of Bacteriology and Immunity. 5th Edition. Vol. 2.
196417
12 197816
13 196612
14 19639
15 19747
16 19627
17 19766
18 19646
19 19755
20
Ancestral relationships of transmissible bacterial plasmids.
19684

About E. MEYNELL

E. MEYNELL is a scholar working on Ecology, Molecular Biology, Genetics, Molecular Medicine and Epidemiology, having authored 20 papers that have together received 900 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (11 papers), Bacterial Genetics and Biotechnology (7 papers), Genomics and Phylogenetic Studies (5 papers), Antibiotic Resistance in Bacteria (5 papers), Glycosylation and Glycoproteins Research (2 papers), Mycobacterium research and diagnosis (2 papers), Probiotics and Fermented Foods (2 papers) and Bacillus and Francisella bacterial research (2 papers). The work is most often cited by research in Molecular Medicine (151 citations), Endocrinology (106 citations), Ecology (341 citations), Genetics (283 citations) and Microbiology (49 citations). E. MEYNELL has collaborated with scholars based in United Kingdom, South Africa and France. Frequent co-authors include G. G. Meynell, Naomi Datta, L. E. Pearce, A. M. Lawn, M. Ishibashi, Yukinori Hirota, Y Nishimura, David Bradley, M. Cooke and L O Hedén. Their work appears in journals such as Journal of Bacteriology, PubMed, Bacteriological Reviews and Journal of General 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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