Anna Kanerva

120 papers receiving 4.6k citations

Peers

Anna Kanerva
Comparison fields: 5 of 93
  • Genetics 3.8k
  • Biotechnology 995
  • Oncology 3.1k
  • Molecular Biology 2.5k
  • Immunology 695
Replace Dirk M. Nettelbeck with:
Dirk M. Nettelbeck Germany
Victor W. van Beusechem Netherlands
Steve H. Thorne United States
Caroline J. Breitbach Canada
Terry Hermiston United States
Dechao Yu United States
Iulia Diaconu Finland
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Citations per field
00.5×3.4×
Dirk M. Nettelbeck · 1×
Citations per year

Countries citing papers authored by Anna Kanerva

Since Specialization
Citations

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

Fields of papers citing papers by Anna Kanerva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Targeting adenovirus to the serotype 3 receptor increases gene transfer efficiency to ovarian cancer cells.
2002208
2 2002156
3 2013144
4 2003143
5 2013139
6
Treatment of ovarian cancer with a tropism modified oncolytic adenovirus.
2002130
7 2011128
8 2007117
9 2004111
10 2012107
11 2017103
12 201890
13
Modulation of coxsackie-adenovirus receptor expression for increased adenoviral transgene expression.
200389
14 200285
15 200783
16 200383
17 200883
18 201281
19 201569
20 200568

About Anna Kanerva

Anna Kanerva is a scholar working on Genetics, Biotechnology, Oncology, Molecular Biology and Immunology, having authored 125 papers that have together received 4.7k indexed citations. Recurring topics across this work include Virus-based gene therapy research (115 papers), CAR-T cell therapy research (90 papers), Viral Infectious Diseases and Gene Expression in Insects (43 papers), Cancer Research and Treatments (31 papers), RNA Interference and Gene Delivery (20 papers), Immunotherapy and Immune Responses (18 papers), Viral gastroenteritis research and epidemiology (9 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Genetics (3.8k citations), Biotechnology (995 citations), Oncology (3.1k citations), Molecular Biology (2.5k citations) and Immunology (695 citations). Anna Kanerva has collaborated with scholars based in Finland, United States and Germany. Frequent co-authors include Akseli Hemminki, David T. Curiel, Gerd Bauerschmitz, Vincenzo Cerullo, Ronald D. Alvarez, Tanja Hakkarainen, Merja Särkioja, Riikka Havunen, Lotta Kangasniemi and Minghui Wang. Their work appears in journals such as Molecular Therapy, International Journal of Cancer, Gene Therapy, OncoImmunology and Cancer Gene Therapy.

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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