Corrado Pipan

1.5k citations
36 papers · 1.1k indexed · h-index 18
Topics
Chronic Lymphocytic Leukemia Research (8 papers)Hepatitis C virus research (7 papers)SARS-CoV-2 detection and testing (6 papers)
Partner nations
ItalyFranceSenegal

In The Last Decade

Corrado Pipan

35 papers receiving 1.1k citations

Peers

Corrado Pipan
Comparison fields: 5 of 84
  • Hepatology 452
  • Epidemiology 392
  • Pathology and Forensic Medicine 313
  • Oncology 282
  • Genetics 230
Replace Rex Au-Yeung with:
Rex Au-Yeung Hong Kong
Marie A. O’Shea United States
Carmen L. Loureiro Venezuela
SangKon Oh United States
Hirofumi Teshima Japan
Maria Rapicetta Italy
Marcello Mazzetti Italy
Masahiro Onozawa Japan
Elena Rodríguez‐Iñigo Spain
I J Su Taiwan
Corrado Pipan relative to Rex Au-Yeung Hong Kong Rex Au-Yeung's profile →
Citations per field
00.5×2.7×
Rex Au-Yeung · 1×
Citations per year

Countries citing papers authored by Corrado Pipan

Since Specialization
Citations

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

Fields of papers citing papers by Corrado Pipan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Corrado Pipan

This figure shows the co-authorship network connecting the top 25 collaborators of Corrado Pipan. A scholar is included among the top collaborators of Corrado Pipan 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 Corrado Pipan. Corrado Pipan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 37
3
Validation of a One-Step Reverse Transcription-droplet digital PCR (RT-ddPCR) Approach to Detect and Quantify SARS-CoV-2 RNA in Nasopharyngeal Swabs
2
4 7
5 1
6 1
7 8
8 69
9 12
10 39
11 8
12 1
13 10
14 37
15 17
16 24
17 13
18 7
19 26
20 38

About Corrado Pipan

Corrado Pipan is a scholar working on Hepatology, Genetics and General Dentistry, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (8 papers), Hepatitis C virus research (7 papers) and SARS-CoV-2 detection and testing (6 papers). The work is most often cited by research in Hepatology (452 citations), Genetics (230 citations) and Pathology and Forensic Medicine (313 citations). Corrado Pipan has collaborated with scholars based in Italy, France and Senegal. Frequent co-authors include Michele Baccarani, E Falasca, F Silvestri, Francesco Zaja, Laura Infanti, Giovanni Barillari, Renato Fanin, GA Botta, Giuseppe Astori and Giuseppe Botta. Their work appears in journals such as Blood, Journal of Clinical Microbiology and American Journal Of Pathology.

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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