E. Collatz

83 papers receiving 3.6k citations

Peers

E. Collatz
Comparison fields: 5 of 97
  • Molecular Medicine 1.9k
  • Endocrinology 703
  • Applied Microbiology and Biotechnology 182
  • Clinical Biochemistry 491
  • Infectious Diseases 778
Replace Lucinda M. C. Hall with:
Lucinda M. C. Hall United Kingdom
Juan A. Ayala Spain
G Gerbaud France
Y. Arakawa Japan
R S Hare United States
S. G. B. Amyes United Kingdom
Thomas D. Gootz United States
Marc Galimand France
Sergei B. Vakulenko United States
M. R. Mulvey Canada
E. Collatz relative to Lucinda M. C. Hall United Kingdom Lucinda M. C. Hall's profile →
Citations per field
00.5×1.5×2.1×
Lucinda M. C. Hall · 1×
Citations per year

Countries citing papers authored by E. Collatz

Since Specialization
Citations

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

Fields of papers citing papers by E. Collatz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside E. Collatz, 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. Collatz Line = papers co-authored together E. Collatz 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 2007315
2 1985175
3 1994162
4 1994130
5 1980113
6 1991111
7 1978110
8 1998106
9 1989105
10 1995103
11 198897
12 199378
13 199078
14 197677
15 198777
16 199975
17 198370
18 199266
19 197666
20 200366

About E. Collatz

E. Collatz is a scholar working on Molecular Medicine, Molecular Biology, Pharmacology, Genetics and Infectious Diseases, having authored 84 papers that have together received 3.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (46 papers), Antibiotics Pharmacokinetics and Efficacy (17 papers), RNA and protein synthesis mechanisms (16 papers), Bacterial Genetics and Biotechnology (15 papers), Antimicrobial Resistance in Staphylococcus (13 papers), Bacterial Identification and Susceptibility Testing (10 papers), RNA modifications and cancer (9 papers) and Salmonella and Campylobacter epidemiology (7 papers). The work is most often cited by research in Molecular Medicine (1.9k citations), Endocrinology (703 citations), Applied Microbiology and Biotechnology (182 citations), Clinical Biochemistry (491 citations) and Infectious Diseases (778 citations). E. Collatz has collaborated with scholars based in France, United States and Austria. Frequent co-authors include Isabelle Podglajen, Ludwig Gutmann, J. Breuil, Patrice Courvalin, I Casin, Ira G. Wool, F. W. Goldstein, J. F. Acar, D Billot-Klein and Guy Tran Van Nhieu. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Bacteriology, Journal of Biological Chemistry, Molecular Microbiology and The Journal of Infectious Diseases.

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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