P. Pina

1.3k citations
38 papers · 1.0k indexed · h-index 14

Impact in

  • Biophysics top 1%
    • Spectroscopy Techniques in Biomedical and Chemical Research
    • Bacterial Identification and Susceptibility Testing

Papers in

P. Pina

36 papers receiving 1.0k citations

Peers

P. Pina
Comparison fields: 5 of 105
  • Biophysics 250
  • Clinical Biochemistry 140
  • Analytical Chemistry 188
  • Molecular Medicine 96
  • Applied Microbiology and Biotechnology 33
Replace Padmapriya P. Banada with:
Padmapriya P. Banada United States
Tom Grunert Austria
Matthias Merker Germany
D. Toubas France
Aymen S. Yassin Egypt
Nobuo Kato Japan
J.S. Kavanaugh United States
Nancy G. Perlmutter Canada
Ursula Zimny‐Arndt Germany
E. C. Beuvery Netherlands
P. Pina relative to Padmapriya P. Banada United States Padmapriya P. Banada's profile →
Citations per field
00.5×4.1×
Padmapriya P. Banada · 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-authorship network

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
#Work
1 20203
2 201910
3 20174
4 20113
5 200916
6 200610
7 20066
8 200516
9 200313
10 20038
11 20027
12
[Antibiotic sensitivity of enterobacteria in intensive care units].
20002
13 200026
14 200013
15 199918
16 19997
17 199742
18 199766
19 19971
20 1995365

About P. Pina

P. Pina is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology, Clinical Biochemistry, Endocrinology and Biophysics, having authored 38 papers that have together received 1.0k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (9 papers), Bacterial Identification and Susceptibility Testing (9 papers), Antibiotic Resistance in Bacteria (8 papers), Spectroscopy Techniques in Biomedical and Chemical Research (5 papers), Pneumonia and Respiratory Infections (4 papers), Antifungal resistance and susceptibility (4 papers), Spectroscopy and Chemometric Analyses (4 papers) and Antibiotics Pharmacokinetics and Efficacy (4 papers). The work is most often cited by research in Biophysics (250 citations), Clinical Biochemistry (140 citations), Analytical Chemistry (188 citations), Molecular Medicine (96 citations) and Applied Microbiology and Biotechnology (33 citations). P. Pina has collaborated with scholars based in France, Netherlands and Mexico. Frequent co-authors include P. Allouch, Éric Espinosa, Sylvain Latour, Marc Daëron, Wolf H. Fridman, Odile Malbec, Suzanne G.M.A. Pasmans, Ganesh D. Sockalingum, Michel Manfait and Roger Labia. Their work appears in journals such as Drugs of today, Antimicrobial Agents and Chemotherapy, European Journal of Clinical Microbiology & Infectious Diseases, Journal of Clinical Microbiology and Clinical 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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