A. G. Redeker

1.6k citations
12 papers · 1.3k indexed · h-index 10
Topics
Hepatitis B Virus Studies (8 papers)Hepatitis C virus research (6 papers)Liver Disease Diagnosis and Treatment (5 papers)
Partner nations
United States

In The Last Decade

A. G. Redeker

10 papers receiving 1.2k citations

Peers

A. G. Redeker
Comparison fields: 5 of 56
  • Epidemiology 1.0k
  • Hepatology 867
  • Immunology 442
  • Infectious Diseases 177
  • Molecular Biology 131
Replace Juan Antonio Quiroga with:
Juan Antonio Quiroga Spain
HarveyJ. Alter United States
Agostino Cividini Italy
J.R. Larrubia Spain
Qui-Lim Choo United States
Anne Mette Hoegh Denmark
George Kuo United States
V. Lamonaca Italy
Françoise Stoll‐Keller France
Elizabeth Kenny-Walsh Ireland
A. G. Redeker relative to Juan Antonio Quiroga Spain Juan Antonio Quiroga's profile →
Citations per field
00.5×2.6×
Juan Antonio Quiroga · 1×
Citations per year

Countries citing papers authored by A. G. Redeker

Since Specialization
Citations

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

Fields of papers citing papers by A. G. Redeker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. G. Redeker

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 402
2 192
3 287
4 16
5 189
6 11
7 2
8
A comparative clinical evaluation of hepatitis-associated antigen detection. I... Hepatitis-associated antigen detection among liver disease patients.
0
9 24
10 25
11 71
12 74

About A. G. Redeker

A. G. Redeker is a scholar working on Hepatology, Epidemiology and Biotechnology, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (8 papers), Hepatitis C virus research (6 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Hepatology (867 citations), Epidemiology (1.0k citations) and Virology (108 citations). A. G. Redeker has collaborated with scholars based in United States. Frequent co-authors include P Fowler, Francis V. Chisari, Gabriele Missale, S Guilhot, H J Schlicht, John Sidney, Alessandro Sette, Barbara Rehermann, Michelle Brown and Bernard Moss. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Investigation and The Journal of Experimental 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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