Julia Ponomarenko

7.9k citations
74 papers · 5.5k indexed · 2 hit papers · h-index 31

Julia Ponomarenko

71 papers receiving 5.4k citations

Hit Papers

The immune epitope database (IEDB) 3.080320082026201420204008001.2k

Peers

Julia Ponomarenko
Comparison fields: 5 of 142
  • Immunology 1.7k
  • Molecular Biology 4.1k
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Infectious Diseases 794
  • Microbiology 218
Replace Pedro A. Reche with:
Pedro A. Reche Spain
Michael Steward United Kingdom
Paolo Marcatili Denmark
Sandeep Kumar Dhanda United States
Jason Greenbaum United States
Randi Vita United States
Claus Lundegaard Denmark
Cornelis H. Hokke Netherlands
J W Kappler United States
Kasper Lamberth Denmark
Julia Ponomarenko relative to Pedro A. Reche Spain Pedro A. Reche's profile →
Citations per field
00.5×1.5×
Pedro A. Reche · 1×
Citations per year

Countries citing papers authored by Julia Ponomarenko

Since Specialization
Citations

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

Fields of papers citing papers by Julia Ponomarenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20250
4 202412
5 20246
6 202310
7 20233
8 202213
9 202243
10 20227
11 20221
12 202110
13 202113
14 202041
15 20204
16 201932
17 20184
18 2017265
19 2012152
20 201050

About Julia Ponomarenko

Julia Ponomarenko is a scholar working on Molecular Biology, Cancer Research and Periodontics, having authored 74 papers that have together received 5.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (17 papers), RNA modifications and cancer (12 papers), vaccines and immunoinformatics approaches (11 papers), Gut microbiota and health (9 papers), Bioinformatics and Genomic Networks (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), RNA Research and Splicing (8 papers) and Genomics and Phylogenetic Studies (7 papers). The work is most often cited by research in Immunology (1.7k citations), Molecular Biology (4.1k citations) and Radiology, Nuclear Medicine and Imaging (1.2k citations). Julia Ponomarenko has collaborated with scholars based in Spain, United States and Russia. Frequent co-authors include Alessandro Sette, Philip E. Bourne, Bjoern Peters, Huynh‐Hoa Bui, Wei Li, Jason Greenbaum, Randi Vita, Ole Lund, Jason D. Clark and Deborah Hix. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

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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