Ingrid Cornax

32 papers receiving 738 citations

Ingrid Cornax's Hit Papers

GPRC5D as a novel target for the treatment of multiple myeloma: a narrative review 2024 · 51 citations
510+1Years since publication1020304050

Peers

Ingrid Cornax
Comparison fields: 5 of 82
  • Animal Science and Zoology 194
  • Agronomy and Crop Science 123
  • Epidemiology 284
  • Molecular Medicine 40
  • Immunology 143
Replace Jin Yuan with:
Jin Yuan China
T Taniguchi Japan
Stefano Rocca Italy
Felix N. Toka Poland
Majid Tebianian Iran
Adrien Breiman France
John T. Bates United States
Mary Lee MacKichan United States
Senthilkumar Palaniyandi United States
Youhui Si China
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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010127
2 201266
3
GPRC5D as a novel target for the treatment of multiple myeloma: a narrative review
Hit paper breakdown →
202451
4 201749
5 201348
6 201147
7 201643
8 202133
9 201931
10 201730
11 201330
12 201628
13 201523
14 202219
15 202116
16 202116
17 201712
18 201612
19 201711
20 20139

About Ingrid Cornax

Ingrid Cornax is a scholar working on Molecular Biology, Animal Science and Zoology, Epidemiology, Oncology and Genetics, having authored 32 papers that have together received 748 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 Neonatal and Maternal Infections (2 papers). The work is most often cited by research in Animal Science and Zoology (194 citations), Agronomy and Crop Science (123 citations), Epidemiology (284 citations), Molecular Medicine (40 citations) and Immunology (143 citations). Ingrid Cornax has collaborated with scholars based in United States, Hungary and Spain. Frequent co-authors include Claudio L. Afonso, Patti J. Miller, Corrie C. Brown, Leonardo Susta, Maeve O’Sullivan, Cary A. Rue, Darrell R. Kapczynski, David L. Suarez, Daniel J. King and Victor Nizet. Their work appears in journals such as Journal of General Virology, Journal of Comparative Pathology, Blood Cancer Journal, Scientific Reports and Disease Models & Mechanisms.

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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