E. Giannella

21 papers receiving 537 citations

Peers

E. Giannella
Comparison fields: 5 of 98
  • Biophysics 144
  • Biochemistry 70
  • Immunology and Allergy 34
  • Physiology 112
  • Sensory Systems 20
Replace Vassiliki Villiotou with:
Vassiliki Villiotou Greece
Victor R. Leverenz United States
Pamela E. Mason United States
Mark W. Trumbore United States
Katsuichi Shuto Japan
Stefan Lundquist Sweden
K. Berneis Switzerland
V. L. Lakomkin Russia
Petri J. Vainío Finland
Marilyn P. Merker United States
E. Giannella relative to Vassiliki Villiotou Greece Vassiliki Villiotou's profile →
Citations per field
00.5×8.5×
Vassiliki Villiotou · 1×
Citations per year

Countries citing papers authored by E. Giannella

Since Specialization
Citations

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

Fields of papers citing papers by E. Giannella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994166
2 1990122
3 198847
4 199741
5 199039
6 198726
7 198615
8 198915
9 198914
10 198712
11 199012
12 198810
13 198810
14 19879
15 19886
16 19885
17 19905
18 20153
19 19893
20 19881

About E. Giannella

E. Giannella is a scholar working on Immunology, Molecular Biology, Physiology, Pathology and Forensic Medicine and Sensory Systems, having authored 24 papers that have together received 563 indexed citations. Recurring topics across this work include Mast cells and histamine (10 papers), Asthma and respiratory diseases (6 papers), Polyamine Metabolism and Applications (6 papers), Amino Acid Enzymes and Metabolism (3 papers), Electron Spin Resonance Studies (3 papers), Olfactory and Sensory Function Studies (3 papers), Cardiac Ischemia and Reperfusion (3 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Biophysics (144 citations), Biochemistry (70 citations), Immunology and Allergy (34 citations), Physiology (112 citations) and Sensory Systems (20 citations). E. Giannella has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Toan D. Nguyen, Ronald P. Mason, Andrew T. Canada, Emanuela Masini, P. F. Mannaioni, Jay L. Zweíer, Kiran Vij, Periannan Kuppusamy, Michael Chzhan and David J. Lefer. Their work appears in journals such as Inflammation Research, Biochemical Pharmacology, Pharmacological Research, Journal of the European Academy of Dermatology and Venereology and Free Radical Biology and Medicine.

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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