A. E. Jacob

30 papers receiving 1.7k citations

A. E. Jacob's Hit Papers

Conjugal Transfer of Plasmid-Borne Multiple Antibiotic Resistance in Streptococcus faecalis var. zymogenes 1974 · 642 citations
6420+17+34Years since publication200400600

Peers

A. E. Jacob
Comparison fields: 5 of 87
  • Molecular Medicine 555
  • Endocrinology 222
  • Infectious Diseases 508
  • Genetics 619
  • Microbiology 124
Replace Tim G. Littlejohn with:
Tim G. Littlejohn Australia
Gérard Guédon France
B. R. Lyon Australia
Orietta Massidda Italy
Hirofumi Nariya Japan
María Victoria Francia Spain
Douglas G. Storey Canada
Asher Brauner Israel
Ramakrishnan Srikumar Canada
Silvia Herbert Germany
A. E. Jacob relative to Tim G. Littlejohn Australia Tim G. Littlejohn's profile →
Citations per field
00.5×1.5×1.9×
Tim G. Littlejohn · 1×
Citations per year

Countries citing papers authored by A. E. Jacob

Since Specialization
Citations

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

Fields of papers citing papers by A. E. Jacob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Conjugal Transfer of Plasmid-Borne Multiple Antibiotic Resistance in Streptococcus faecalis var. zymogenes
Hit paper breakdown →
1974642
2 1974350
3 1975213
4 197597
5 197873
6 197865
7 197562
8 197757
9 199652
10 197648
11 197646
12 197645
13 197443
14 197537
15 197731
16 197530
17 198128
18 197725
19 197522
20 197720

About A. E. Jacob

A. E. Jacob is a scholar working on Molecular Medicine, Genetics, Endocrinology, Ecology and Periodontics, having authored 30 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (13 papers), Antibiotic Resistance in Bacteria (12 papers), Bacteriophages and microbial interactions (6 papers), Streptococcal Infections and Treatments (5 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Infective Endocarditis Diagnosis and Management (4 papers), Oral microbiology and periodontitis research (3 papers) and Bacterial biofilms and quorum sensing (3 papers). The work is most often cited by research in Molecular Medicine (555 citations), Endocrinology (222 citations), Infectious Diseases (508 citations), Genetics (619 citations) and Microbiology (124 citations). A. E. Jacob has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Robert W. Hedges, R D Sublett, Stanley Falkow, Fred Heffron, Nigel J. Grinter, George A. Jacoby, Pauline S. Handley, Patrice M. Courvalin, William V. Shaw and Jeremy T. Smith. Their work appears in journals such as Journal of Bacteriology, Nature, Antimicrobial Agents and Chemotherapy, Gene and Genetics Research.

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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