A Bartorelli

705 citations
35 papers · 603 · h-index 11

Impact in

Papers in

A Bartorelli

34 papers receiving 532 citations

Peers

A Bartorelli
Comparison fields: 5 of 88
  • Cardiology and Cardiovascular Medicine 221
  • Endocrinology, Diabetes and Metabolism 82
  • Small Animals 35
  • Nephrology 25
  • Molecular Biology 195
Replace Kazutaka Nishimura with:
Kazutaka Nishimura Japan
Jacob Rune Jørgensen Denmark
Bernward Garthoff Germany
A Cole United Kingdom
Françoise Roch‐Ramel Switzerland
Volker B. Fiedler Germany
Lori Mixson United States
Yohannes T. Ghebremariam United States
J. P. Filkins United States
Hitomi Nakayama Japan
A Bartorelli relative to Kazutaka Nishimura Japan Kazutaka Nishimura's profile →
Citations per field
00.5×1.5×2.2×
Kazutaka Nishimura · 1×
Citations per year

Countries citing papers authored by A Bartorelli

Since Specialization
Citations

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

Fields of papers citing papers by A Bartorelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980137
2 1984110
3 197471
4 199654
5 201345
6 198233
7 199619
8 199914
9 199714
10 198411
11 199711
12 199810
13 19699
14 19999
15 20018
16 19985
17
The time course of radiofibrinogen uptake in the I.R.E. sarcoma and in acute inflammatory process as induced in rats.
19665
18 19734
19 19744
20 19774

About A Bartorelli

A Bartorelli is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Immunology and Small Animals, having authored 35 papers that have together received 603 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Radiopharmaceutical Chemistry and Applications (7 papers), Inflammatory mediators and NSAID effects (4 papers), Glycosylation and Glycoproteins Research (3 papers), Heat shock proteins research (3 papers), Immunotherapy and Immune Responses (3 papers), Blood Pressure and Hypertension Studies (2 papers) and Renin-Angiotensin System Studies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (221 citations), Endocrinology, Diabetes and Metabolism (82 citations), Small Animals (35 citations), Nephrology (25 citations) and Molecular Biology (195 citations). A Bartorelli has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Marco Guazzi, A Polese, M. T. Olivari, Cesare Fiorentini, Gloria Tamborini, Benedetta Bussolati, C. Galli, Alessandro Salvioni, Nicoletta De Cesare and Gastone Leonetti. Their work appears in journals such as Circulation, Cellular and Molecular Life Sciences, International Journal of Oncology, Microvascular Research and Diabetologia.

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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