Pamela Arcella

50 total papers · 1.1k total citations
3 papers, 175 citations indexed

About

Pamela Arcella is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Pamela Arcella has authored 3 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cancer Research, 1 paper in Pathology and Forensic Medicine and 1 paper in Oncology. Recurrent topics in Pamela Arcella's work include Cancer Genomics and Diagnostics (2 papers), Vitamin C and Antioxidants Research (1 paper) and Ethics in Clinical Research (1 paper). Pamela Arcella is often cited by papers focused on Cancer Genomics and Diagnostics (2 papers), Vitamin C and Antioxidants Research (1 paper) and Ethics in Clinical Research (1 paper). Pamela Arcella collaborates with scholars based in Italy. Pamela Arcella's co-authors include Angelo Paradiso, Giuseppe De Palma, Vincenzo Canzonieri, Agostino Steffan, Caterina Marchiò, Maria Grazia Daidone, Gerardo Botti, Enrico Berrino, Giuseppina Bonizzi and Simona Di Martino and has published in prestigious journals such as Cancers, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin and JCO Precision Oncology.

In The Last Decade

Pamela Arcella

3 papers receiving 172 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Pamela Arcella	72	54	46	44	35	3	175
Cary Greenberg	51 0.7×	23 0.4×	72 1.6×	40 0.9×	106 3.0×	6	211
U. Gewelke	59 0.8×	92 1.7×	21 0.5×	52 1.2×	77 2.2×	6	276
Rudolph Kaaks	33 0.5×	65 1.2×	24 0.5×	43 1.0×	120 3.4×	5	214
Sharly J. Nass	59 0.8×	86 1.6×	25 0.5×	37 0.8×	30 0.9×	4	230
Otto W. Sartorius	73 1.0×	55 1.0×	8 0.2×	43 1.0×	37 1.1×	6	242
Ana Fonseca‐Nunes	48 0.7×	73 1.4×	38 0.8×	66 1.5×	46 1.3×	3	265
Annie Lukanova	48 0.7×	65 1.2×	16 0.3×	46 1.0×	81 2.3×	6	218
Harpal Kumar	81 1.1×	33 0.6×	19 0.4×	32 0.7×	87 2.5×	6	174
Dominik Ternes	59 0.8×	205 3.8×	11 0.2×	15 0.3×	86 2.5×	3	260
Jorge Oscanoa	41 0.6×	110 2.0×	10 0.2×	15 0.3×	22 0.6×	4	238

Countries citing papers authored by Pamela Arcella

Since Specialization

Citations

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

Fields of papers citing papers by Pamela Arcella

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela Arcella

This figure shows the co-authorship network connecting the top 25 collaborators of Pamela Arcella. A scholar is included among the top collaborators of Pamela Arcella based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pamela Arcella. Pamela Arcella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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