C. Cerni

470 citations
30 papers · 381 indexed · h-index 11

C. Cerni

29 papers receiving 358 citations

Peers

C. Cerni
Comparison fields: 5 of 72
  • Oncology 108
  • Molecular Biology 237
  • Immunology 67
  • Biochemistry 14
  • Cancer Research 35
Replace Madanamohan Boyanapalli with:
Madanamohan Boyanapalli United States
Rachel Beery Israel
Sandrine Rubio France
Kathleen Frondorf United States
Fazal H. Tabassam United States
Thillainathan Yoganathan Canada
Kumiko Ohkubo Japan
AJ Lusis United States
Terry L. Woodward United States
Alejandro García Carrancá Mexico
C. Cerni relative to Madanamohan Boyanapalli United States Madanamohan Boyanapalli's profile →
Citations per field
00.5×1.5×1.8×
Madanamohan Boyanapalli · 1×
Citations per year

Countries citing papers authored by C. Cerni

Since Specialization
Citations

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

Fields of papers citing papers by C. Cerni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200317
2 200125
3 20012
4 20012
5 199721
6 19961
7
Differential effects by Mad and Max on transformation by cellular and viral oncoproteins.
199553
8
Tumorigenic transformation of rat FR3T3 fibroblasts carrying an activated myc oncogene requires subsequent mutational events.
19888
9 198712
10
Genetic instabilities at the chromosomal and the molecular levels induced by the plt oncogene of polyoma virus.
19864
11 19861
12 198616
13 19847
14 19843
15 198333
16 19822
17 19822
18 197745
19 19773
20
[Halo Nevus (Morbus Sutton): model of an immunological tumor regression].
19752

About C. Cerni

C. Cerni is a scholar working on Biotechnology, Oncology, Immunology, Molecular Biology and Cell Biology, having authored 30 papers that have together received 381 indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), Immunotherapy and Immune Responses (4 papers), Cancer Research and Treatments (3 papers), DNA Repair Mechanisms (3 papers), Microtubule and mitosis dynamics (3 papers), Polyomavirus and related diseases (3 papers), Lung Cancer Treatments and Mutations (3 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). The work is most often cited by research in Oncology (108 citations), Molecular Biology (237 citations), Immunology (67 citations), Biochemistry (14 citations) and Cancer Research (35 citations). C. Cerni has collaborated with scholars based in Austria, France and Germany. Frequent co-authors include G. Tatra, M. Micksche, H. Bohn, H. Wrba, François Cuzin, Christian Seelos, Bernhard Lüscher, Evelyne Mougneau, Harald Burkhardt and Kristine Bousset. Their work appears in journals such as Oncology, Current topics in microbiology and immunology, Cellular and Molecular Life Sciences, Experimental Cell Research and Archives of Gynecology and Obstetrics.

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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