Ingrid Cornax

33 papers receiving 783 citations

Ingrid Cornax's Hit Papers

GPRC5D as a novel target for the treatment of multiple myeloma: a narrative review 2024 · 63 citations
630+1Years since publication204060

Peers

Ingrid Cornax
Comparison fields: 5 of 83
  • Animal Science and Zoology 178
  • Agronomy and Crop Science 106
  • Epidemiology 282
  • Molecular Medicine 41
  • Immunology 134
Replace Jin Yuan with:
Jin Yuan China
Norio Fukuhara Japan
Kenneth H. Mellits United Kingdom
Senthilkumar Palaniyandi United States
Majid Tebianian Iran
Felix N. Toka Poland
Mary Lee MacKichan United States
Stefano Rocca Italy
Youhui Si China
Angela Cannas Italy
Ingrid Cornax relative to Jin Yuan China Jin Yuan's profile →
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Countries citing papers authored by Ingrid Cornax

Since Specialization
Citations

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

Fields of papers citing papers by Ingrid Cornax

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010129
2 201266
3
GPRC5D as a novel target for the treatment of multiple myeloma: a narrative review
Hit paper breakdown →
202463
4 201750
5 201349
6 201147
7 201646
8 202136
9 201934
10 201731
11 201329
12 201628
13 201526
14 202223
15 202119
16 202117
17 201613
18 201712
19 201712
20 20199

About Ingrid Cornax

Ingrid Cornax is a scholar working on Animal Science and Zoology, Epidemiology, Oncology, Genetics and Molecular Biology, having authored 34 papers that have together received 794 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), Virology and Viral Diseases (6 papers), Animal Virus Infections Studies (5 papers), Multiple Myeloma Research and Treatments (4 papers), Animal Disease Management and Epidemiology (4 papers), Veterinary Oncology Research (3 papers), CAR-T cell therapy research (3 papers) and Streptococcal Infections and Treatments (2 papers). The work is most often cited by research in Animal Science and Zoology (178 citations), Agronomy and Crop Science (106 citations), Epidemiology (282 citations), Molecular Medicine (41 citations) and Immunology (134 citations). Ingrid Cornax has collaborated with scholars based in United States, Hungary and Canada. Frequent co-authors include Patti J. Miller, Claudio L. Afonso, Corrie C. Brown, Leonardo Susta, Cary A. Rue, M. Gerard O’Sullivan, David L. Suarez, Daniel J. King, Darrell R. Kapczynski and Victor Nizet. Their work appears in journals such as Toxicologic Pathology, JCI Insight, Journal of General Virology, Blood Cancer Journal and Journal of Comparative 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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