Joan Kyula

1.6k citations
33 papers · 1.0k · h-index 21

Impact in

  • Oncology top 5%
    • CAR-T cell therapy research
    • HER2/EGFR in Cancer Research
    • Cancer Research and Treatments

Papers in

    • Virus-based gene therapy research 21
    • CAR-T cell therapy research 12
    • Cancer-related Molecular Pathways 4

Joan Kyula

31 papers receiving 995 citations

Peers

Joan Kyula
Comparison fields: 5 of 71
  • Oncology 576
  • Biotechnology 142
  • Genetics 443
  • Immunology 161
  • Infectious Diseases 130
Replace Kang Hu with:
Kang Hu China
Conrado Soria United States
Norman Woller Germany
Engin Gürlevik Germany
Lynette P. Steele United Kingdom
Gerd Bauerschmitz Germany
Edward A. Hirschowitz United States
Gail DeRaffele United States
Patrice Yeh France
Patricia Roxburgh United Kingdom
Joan Kyula relative to Kang Hu China Kang Hu's profile →
Citations per field
00.5×
Kang Hu · 1×
Citations per year

Countries citing papers authored by Joan Kyula

Since Specialization
Citations

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

Fields of papers citing papers by Joan Kyula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019119
2 200687
3 201083
4 202049
5 201248
6 201646
7 201246
8 201244
9 201841
10 201039
11 201538
12 201333
13 200832
14 201231
15 201729
16 201526
17 202026
18 202024
19 201624
20 201923

About Joan Kyula

Joan Kyula is a scholar working on Genetics, Oncology, Molecular Biology, Biotechnology and Infectious Diseases, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Virus-based gene therapy research (21 papers), CAR-T cell therapy research (12 papers), Cancer Research and Treatments (10 papers), Viral gastroenteritis research and epidemiology (7 papers), Cancer-related Molecular Pathways (4 papers), DNA Repair Mechanisms (4 papers), Cell death mechanisms and regulation (4 papers) and Melanoma and MAPK Pathways (3 papers). The work is most often cited by research in Oncology (576 citations), Biotechnology (142 citations), Genetics (443 citations), Immunology (161 citations) and Infectious Diseases (130 citations). Joan Kyula has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Kevin J. Harrington, Victoria Roulstone, David Mansfield, Martin McLaughlin, Sandra Van Schaeybroeck, Patrick G. Johnston, Daniel B. Longley, Alan Melcher, Henry Smith and Aadil Khan. Their work appears in journals such as Cancer Research, Radiotherapy and Oncology, Molecular Cancer Therapeutics, Clinical Cancer Research and BMC Cancer.

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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