Frank Antonicelli

4.3k citations
83 papers · 3.5k · h-index 35

Impact in

Papers in

Frank Antonicelli

83 papers receiving 3.4k citations

Peers

Frank Antonicelli
Comparison fields: 5 of 131
  • Pathology and Forensic Medicine 1.0k
  • Genetics 605
  • Rheumatology 699
  • Cancer Research 359
  • Immunology 483
Replace Su-xia Wang with:
Su-xia Wang China
Junji Kato Japan
Heike Schäcke Germany
Iris Goldberg Israel
Sakan Maeda Japan
Chia‐Li Yu Taiwan
Guangbin Luo United States
Xiao Ru Huang Hong Kong
Pavel Strnad Germany
Mehrnaz Gharaee-Kermani United States
Frank Antonicelli relative to Su-xia Wang China Su-xia Wang's profile →
Citations per field
00.5×2×2.7×
Su-xia Wang · 1×
Citations per year

Countries citing papers authored by Frank Antonicelli

Since Specialization
Citations

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

Fields of papers citing papers by Frank Antonicelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007185
2 2017176
3 2000164
4 2018135
5 1999122
6 2004119
7 2016119
8 2002116
9 2003110
10 2014106
11 2001105
12 201191
13 201378
14 200474
15 199972
16 201371
17 199870
18 201569
19 200260
20 201659

About Frank Antonicelli

Frank Antonicelli is a scholar working on Pathology and Forensic Medicine, Genetics, Rheumatology, Cancer Research and Immunology, having authored 83 papers that have together received 3.5k indexed citations. Recurring topics across this work include Autoimmune Bullous Skin Diseases (24 papers), Urticaria and Related Conditions (15 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (14 papers), Protease and Inhibitor Mechanisms (11 papers), Cytokine Signaling Pathways and Interactions (6 papers), Connective tissue disorders research (6 papers), Psoriasis: Treatment and Pathogenesis (5 papers) and Neonatal Respiratory Health Research (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.0k citations), Genetics (605 citations), Rheumatology (699 citations), Cancer Research (359 citations) and Immunology (483 citations). Frank Antonicelli has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Philippe M. Bernard, Irfan Rahman, William MacNee, Georges Bellon, Sébastien Le Jan, Ellen Drost, Laurent Debelle, J. Plée, William Hornebeck and Anne P. Durlach. Their work appears in journals such as Frontiers in Immunology, Experimental Dermatology, Journal of Investigative Dermatology, JAMA Dermatology and Scientific Reports.

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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