B. Pispisa

1.6k citations
91 papers · 1.3k indexed · h-index 20

Impact in

Papers in

B. Pispisa

87 papers receiving 1.2k citations

Peers

B. Pispisa
Comparison fields: 5 of 91
  • Microbiology 222
  • Biophysics 141
  • Physical and Theoretical Chemistry 151
  • Spectroscopy 262
  • Molecular Biology 726
Replace Matthew J. Tucker with:
Matthew J. Tucker United States
Jan Sýkora Czechia
Rosa Bartucci Italy
José Laynez Spain
Alexander Fedorov Portugal
Christoph Allolio Germany
Casey H. Londergan United States
Hans–Jörg Hofmann Germany
Christopher V. Grant United States
Kalina Peneva Germany
B. Pispisa relative to Matthew J. Tucker United States Matthew J. Tucker's profile →
Citations per field
00.5×2.9×
Matthew J. Tucker · 1×
Citations per year

Countries citing papers authored by B. Pispisa

Since Specialization
Citations

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

Fields of papers citing papers by B. Pispisa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197696
2 200470
3 200560
4 197755
5 201046
6 197343
7 200738
8 197838
9 199237
10 199837
11 200637
12 199434
13 200331
14 200030
15 199927
16 200622
17 199622
18 199421
19 198620
20 198820

About B. Pispisa

B. Pispisa is a scholar working on Physical and Theoretical Chemistry, Spectroscopy, Biophysics, Filtration and Separation and Electrochemistry, having authored 91 papers that have together received 1.3k indexed citations. Recurring topics across this work include Porphyrin and Phthalocyanine Chemistry (19 papers), Molecular Sensors and Ion Detection (18 papers), Photochemistry and Electron Transfer Studies (17 papers), Metal complexes synthesis and properties (11 papers), Chemical Synthesis and Analysis (10 papers), Mass Spectrometry Techniques and Applications (10 papers), Electron Spin Resonance Studies (9 papers) and Lipid Membrane Structure and Behavior (8 papers). The work is most often cited by research in Microbiology (222 citations), Biophysics (141 citations), Physical and Theoretical Chemistry (151 citations), Spectroscopy (262 citations) and Molecular Biology (726 citations). B. Pispisa has collaborated with scholars based in Italy, France and Netherlands. Frequent co-authors include Mariano Venanzi, Antonio Palleschi, Lorenzo Stella, Claudio Toniolo, Mario Barteri, Claudia Mazzuca, Fernando Formaggio, Ester Chiessi, Gaio Paradossi and Mario Branca. Their work appears in journals such as Biopolymers, The Journal of Physical Chemistry, Journal of Inorganic Biochemistry, The Journal of Physical Chemistry B and Inorganic Chemistry.

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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