P. Pina

1.3k citations
38 papers · 1.1k · h-index 14

Impact in

Papers in

    • Antimicrobial Resistance in Staphylococcus 8
    • Antifungal resistance and susceptibility 5
    • Pneumonia and Respiratory Infections 4

P. Pina

36 papers receiving 1.0k citations

Peers

P. Pina
Comparison fields: 5 of 103
  • Biophysics 244
  • Analytical Chemistry 184
  • Clinical Biochemistry 120
  • Molecular Medicine 86
  • Immunology 285
Replace Tom Grunert with:
Tom Grunert Austria
I. Das United Kingdom
Gérémy Clair United States
Thomas Emil Andersen Denmark
E. C. Beuvery Netherlands
Jan ten Hove Netherlands
Nobuo Kato Japan
Aymen S. Yassin Egypt
J.S. Kavanaugh United States
C. Nicole Rosenzweig United States
P. Pina relative to Tom Grunert Austria Tom Grunert's profile →
Citations per field
00.5×4.2×
Tom Grunert · 1×
Citations per year

Countries citing papers authored by P. Pina

Since Specialization
Citations

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

Fields of papers citing papers by P. Pina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995365
2 2001214
3 199769
4
FT-IR spectroscopy as an emerging method for rapid characterization of microorganisms.
199852
5 199742
6 200737
7 200428
8 200026
9 199918
10 199518
11 200916
12 200516
13 199515
14 200013
15 200313
16 200212
17 200610
18 201910
19 20089
20 20038

About P. Pina

P. Pina is a scholar working on Infectious Diseases, Epidemiology, Clinical Biochemistry, Molecular Medicine and Endocrinology, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (8 papers), Antibiotic Resistance in Bacteria (7 papers), Bacterial Identification and Susceptibility Testing (7 papers), Antifungal resistance and susceptibility (5 papers), Spectroscopy Techniques in Biomedical and Chemical Research (5 papers), Pneumonia and Respiratory Infections (4 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers) and Spectroscopy and Chemometric Analyses (4 papers). The work is most often cited by research in Biophysics (244 citations), Analytical Chemistry (184 citations), Clinical Biochemistry (120 citations), Molecular Medicine (86 citations) and Immunology (285 citations). P. Pina has collaborated with scholars based in France, Netherlands and Mexico. Frequent co-authors include P. Allouch, Odile Malbec, Éric Espinosa, Sylvain Latour, Marc Daëron, Wolf H. Fridman, Suzanne G.M.A. Pasmans, Ganesh D. Sockalingum, Michel Manfait and Roger Labia. Their work appears in journals such as Drugs of today, European Journal of Clinical Microbiology & Infectious Diseases, Antimicrobial Agents and Chemotherapy, Journal of Clinical Microbiology 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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