Miguel Ararat

1.2k citations
7 papers · 929 indexed · 1 hit paper · h-index 7
Topics
Immunotherapy and Immune Responses (3 papers)Immune Cell Function and Interaction (3 papers)Cancer Immunotherapy and Biomarkers (2 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Miguel Ararat

7 papers receiving 915 citations

Hit Papers

Preferential transformation of human neuronal cells by hu...20022026201020182002200400600

Peers

Miguel Ararat
Comparison fields: 5 of 94
  • Molecular Biology 505
  • Oncology 169
  • Epidemiology 151
  • Immunology 138
  • Cellular and Molecular Neuroscience 125
Replace Monika B. Dolinska with:
Monika B. Dolinska United States
Gahl Levy Israel
Arno Kalkuhl Germany
Yonghua Liu China
Bruno D. Fonseca Canada
Candace J. Sabers United States
Sui Wang United States
Janet H. Scott United States
A.-P. Tsou Taiwan
K. Yoshino Japan
Miguel Ararat relative to Monika B. Dolinska United States Monika B. Dolinska's profile →
Citations per field
00.5×1.6×
Monika B. Dolinska · 1×
Citations per year

Countries citing papers authored by Miguel Ararat

Since Specialization
Citations

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

Fields of papers citing papers by Miguel Ararat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miguel Ararat

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 98
2 12
3 91
4 35
5 37
6 31
7
Preferential transformation of human neuronal cells by human adenoviruses and the origin of HEK 293 cellsbreakdown →
625

About Miguel Ararat

Miguel Ararat is a scholar working on Hepatology, Immunology and Oncology, having authored 7 papers that have together received 929 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (3 papers), Immune Cell Function and Interaction (3 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Hepatology (85 citations), Transplantation (22 citations) and Molecular Biology (505 citations). Miguel Ararat has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Gerry Shaw, Frank L. Graham, Roniel Cabrera, Chen Liu, David R. Nelson, Yiling Xu, Mark A. Atkinson, Clive Wasserfall, Todd M. Brusko and Yinzhe Xu. Their work appears in journals such as The FASEB Journal, Digestive Diseases and Sciences and Liver Transplantation.

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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