M Ramuz

56 papers receiving 2.9k citations

Peers

M Ramuz
Comparison fields: 5 of 101
  • Small Animals 1.3k
  • Endocrinology 818
  • Molecular Medicine 246
  • Food Science 508
  • Epidemiology 697
Replace Stephan Köhler with:
Stephan Köhler France
Suzana P. Salcedo France
Dennis Linton United Kingdom
Pilar Morata Spain
Christelle M. Roux United States
Nick Dorrell United Kingdom
Thomas D. Edlind United States
Nongnuch Vanittanakom Thailand
Jerod A. Skyberg United States
Andreas Roggenkamp Germany
M Ramuz relative to Stephan Köhler France Stephan Köhler's profile →
Citations per field
00.5×2.6×
Stephan Köhler · 1×
Citations per year

Countries citing papers authored by M Ramuz

Since Specialization
Citations

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

Fields of papers citing papers by M Ramuz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999381
2 2002242
3 2002228
4 1993146
5 1998130
6 1989126
7 1994118
8 1993112
9 1988105
10 2003101
11 199796
12 200293
13
The influence of ionic strength and a polyanion on transcription in vitro. I. Stimulation of the aggregate RNA polymerase from rat liver nuclei.
196892
14 199891
15 199388
16 196881
17 196565
18 196564
19 199255
20 196853

About M Ramuz

M Ramuz is a scholar working on Small Animals, Molecular Biology, Endocrinology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 56 papers that have together received 3.0k indexed citations. Recurring topics across this work include Brucella: diagnosis, epidemiology, treatment (24 papers), Escherichia coli research studies (13 papers), RNA and protein synthesis mechanisms (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Bacteriophages and microbial interactions (7 papers), Burkholderia infections and melioidosis (6 papers), DNA and Nucleic Acid Chemistry (6 papers) and Salmonella and Campylobacter epidemiology (4 papers). The work is most often cited by research in Small Animals (1.3k citations), Endocrinology (818 citations), Molecular Medicine (246 citations), Food Science (508 citations) and Epidemiology (697 citations). M Ramuz has collaborated with scholars based in France, Tunisia and United Kingdom. Frequent co-authors include Gisèle Bourg, A Allardet-Servent, Sylvie Michaux‐Charachon, David O’Callaghan, Estelle Jumas‐Bilak, Pierre Chambon, Vincent Foulongne, Janine Doly, P. Mandel and María Laura Boschiroli. Their work appears in journals such as Journal of Bacteriology, Journal of Clinical Microbiology, Journal of Antimicrobial Chemotherapy, Infection and Immunity and Biochemical and Biophysical Research Communications.

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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