P. Allouch

45 papers receiving 866 citations

Peers

P. Allouch
Comparison fields: 5 of 102
  • Biophysics 419
  • Analytical Chemistry 315
  • Clinical Biochemistry 166
  • Molecular Medicine 79
  • Biotechnology 115
Replace Jeffrey W. Hall with:
Jeffrey W. Hall United States
D. Toubas France
Jorge Machado Portugal
Lucia Černáková Slovakia
Pawan Kumar Kanaujia India
Filipa Grosso Portugal
Marlène Sauget France
Aymen S. Yassin Egypt
T. J. K. van der Reijden Netherlands
George R. Golding Canada
P. Allouch relative to Jeffrey W. Hall United States Jeffrey W. Hall's profile →
Citations per field
00.5×8.7×
Jeffrey W. Hall · 1×
Citations per year

Countries citing papers authored by P. Allouch

Since Specialization
Citations

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

Fields of papers citing papers by P. Allouch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001227
2 2001205
3 199774
4
FT-IR spectroscopy as an emerging method for rapid characterization of microorganisms.
199853
5 199746
6 200643
7 200228
8 200027
9 199518
10 200415
11 200315
12 200013
13 200912
14 200212
15 200110
16 200610
17
[Frequency and distribution of beta-lactamases in 1792 strains of Klebsiella pneumoniae in France between 1985 and 1988].
199010
18 20038
19 20028
20
[An Acinetobacter baumanii outbreak at the Versailles Hospital Center].
19988

About P. Allouch

P. Allouch is a scholar working on Epidemiology, Molecular Medicine, Infectious Diseases, Pharmacology and Biophysics, having authored 48 papers that have together received 924 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (15 papers), Antibiotics Pharmacokinetics and Efficacy (9 papers), Spectroscopy Techniques in Biomedical and Chemical Research (8 papers), Pneumonia and Respiratory Infections (7 papers), Bacterial Identification and Susceptibility Testing (6 papers), Antifungal resistance and susceptibility (5 papers), Spectroscopy and Chemometric Analyses (5 papers) and Antibiotic Use and Resistance (5 papers). The work is most often cited by research in Biophysics (419 citations), Analytical Chemistry (315 citations), Clinical Biochemistry (166 citations), Molecular Medicine (79 citations) and Biotechnology (115 citations). P. Allouch has collaborated with scholars based in France, Germany and Netherlands. Frequent co-authors include P. Pina, Ganesh D. Sockalingum, Michel Manfait, Francesco Orsini, Diletta Ami, Lin‐P'ing Choo‐Smith, D. Naumann, K. Maquelin, C. Kirschner and Silvia Maria Doglia. Their work appears in journals such as European Journal of Clinical Microbiology & Infectious Diseases, Drugs, Journal of Clinical Microbiology, Biochemical and Biophysical Research Communications and International Journal of Antimicrobial Agents.

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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