P. Allouch

54 papers receiving 1.1k citations

Peers

P. Allouch
Comparison fields: 5 of 89
  • Biophysics 469
  • Molecular Medicine 161
  • Biochemistry 122
  • Clinical Biochemistry 67
  • Applied Microbiology and Biotechnology 26
Replace Dorota Korsak with:
Dorota Korsak Poland
Dušan Kekić Serbia
Aycan Gündoğdu Türkiye
Fevronia Kolonitsiou Greece
Marlène Sauget France
William H. Beggs United States
Christopher L. Joannou United Kingdom
Jette Jung Germany
Miloš Jovićević Serbia
Luana L. Rossato Brazil
P. Allouch relative to Dorota Korsak Poland Dorota Korsak's profile →
Citations per field
00.5×5×10×15×20.3×
Dorota Korsak · 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 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001227
2 2001208
3 200198
4 199773
5
FT-IR spectroscopy as an emerging method for rapid characterization of microorganisms.
199850
6 197346
7 199746
8 200643
9 200737
10 200431
11 200230
12 200027
13 200626
14 199920
15 199518
16 200916
17 200315
18 200415
19 200915
20 200213

About P. Allouch

P. Allouch is a scholar working on Molecular Medicine, Biophysics, Infectious Diseases, Epidemiology and Management of Technology and Innovation, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (17 papers), Spectroscopy Techniques in Biomedical and Chemical Research (11 papers), Antifungal resistance and susceptibility (7 papers), Pneumonia and Respiratory Infections (7 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Estrogen and related hormone effects (3 papers), Blood donation and transfusion practices (3 papers) and Protein Interaction Studies and Fluorescence Analysis (3 papers). The work is most often cited by research in Biophysics (469 citations), Molecular Medicine (161 citations), Biochemistry (122 citations), Clinical Biochemistry (67 citations) and Applied Microbiology and Biotechnology (26 citations). P. Allouch has collaborated with scholars based in France, Germany and Netherlands. Frequent co-authors include Patrick Pina, Ganesh Dhruvananda Sockalingum, Michel Manfait, Jean‐Winoc Decousser, D. Naumann, Silvia Maria Doglia, N. A. Ngo Thi, Francesco Orsini, Kees Maquelin and C. Kirschner. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, European Journal of Clinical Microbiology & Infectious Diseases, Diagnostic Microbiology and Infectious Disease, Journal of Antimicrobial Chemotherapy and FEBS Letters.

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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