Anna Philips

1.0k total citations
30 papers, 459 citations indexed

About

Anna Philips is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Anna Philips has authored 30 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 4 papers in Epidemiology and 3 papers in Infectious Diseases. Recurrent topics in Anna Philips's work include RNA modifications and cancer (8 papers), Gut microbiota and health (6 papers) and Circular RNAs in diseases (5 papers). Anna Philips is often cited by papers focused on RNA modifications and cancer (8 papers), Gut microbiota and health (6 papers) and Circular RNAs in diseases (5 papers). Anna Philips collaborates with scholars based in Poland, China and United States. Anna Philips's co-authors include Kaja Milanowska, Janusz M. Bujnicki, Grzegorz Łach, Piotr Kozłowski, Marek Figlerowicz, Joanna Mokracka, Ryszard Koczura, Luiza Handschuh, Nicoletta Makowska and Anna Samelak-Czajka and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and The Science of The Total Environment.

In The Last Decade

Anna Philips

28 papers receiving 459 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anna Philips Poland 12 307 70 51 51 44 30 459
Xiaoqing Liu China 14 313 1.0× 26 0.4× 27 0.5× 39 0.8× 149 3.4× 33 668
Masatomo Rokushima Japan 11 167 0.5× 14 0.2× 74 1.5× 16 0.3× 38 0.9× 13 315
Georges P Schmartz Germany 10 280 0.9× 23 0.3× 69 1.4× 120 2.4× 17 0.4× 20 458
Anna Ballard United States 10 154 0.5× 42 0.6× 67 1.3× 19 0.4× 58 1.3× 14 397
Patrícia Danielle Lima de Lima Brazil 11 117 0.4× 26 0.4× 50 1.0× 68 1.3× 27 0.6× 37 432
Lang Yang China 9 136 0.4× 27 0.4× 78 1.5× 31 0.6× 15 0.3× 19 247
Ha Yeon Cho South Korea 11 248 0.8× 25 0.4× 28 0.5× 15 0.3× 67 1.5× 15 339
Andrew Chou United States 9 160 0.5× 14 0.2× 91 1.8× 61 1.2× 59 1.3× 20 370
Marta Palombo Italy 8 213 0.7× 13 0.2× 39 0.8× 11 0.2× 31 0.7× 16 499
Hermes Reyes-Caballero United States 10 175 0.6× 27 0.4× 19 0.4× 10 0.2× 39 0.9× 11 488

Countries citing papers authored by Anna Philips

Since Specialization
Citations

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

Fields of papers citing papers by Anna Philips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Philips

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Philips. A scholar is included among the top collaborators of Anna Philips based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anna Philips. Anna Philips is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cheng, Rui, Hao Lin, Lili Li, et al.. (2025). Gut virome and its implications in the pathogenesis and therapeutics of inflammatory bowel disease. BMC Medicine. 23(1). 183–183. 5 indexed citations
2.
Kozłowski, Piotr, et al.. (2025). Global dysregulation of circular RNAs in frontal cortex and whole blood from DM1 and DM2. Human Genetics. 144(4). 417–432. 1 indexed citations
3.
Tomela, Katarzyna, Luiza Handschuh, Anna Samelak-Czajka, et al.. (2025). Exploring correlations between gut mycobiome and lymphocytes in melanoma patients undergoing anti-PD-1 therapy. Cancer Immunology Immunotherapy. 74(4). 110–110. 1 indexed citations
4.
Jin, Yufeng, Jie Chen, Lu Yu, et al.. (2025). Dietary whey protein protects against Crohn’s disease by orchestrating cross-kingdom interaction between the gut phageome and bacteriome. Gut. 74(8). 1246–1260. 4 indexed citations
5.
Burgermeister, Elke, et al.. (2025). The gut virome in association with the bacteriome in gastrointestinal diseases and beyond: roles, mechanisms, and clinical applications. Precision Clinical Medicine. 8(2). pbaf010–pbaf010. 4 indexed citations
6.
Kozłowski, Piotr, et al.. (2025). The role of gut mycobiome in responses to cancer immunotherapy. Gut Microbes. 17(1). 2571433–2571433.
7.
Philips, Anna, et al.. (2024). LINE-1 mRNA 3′ end dynamics shape its biology and retrotransposition potential. Nucleic Acids Research. 52(6). 3327–3345. 1 indexed citations
8.
Suszyńska, Malwina, et al.. (2024). CMC: Cancer miRNA Census – a list of cancer-related miRNA genes. Nucleic Acids Research. 52(4). 1628–1644. 20 indexed citations
9.
Handschuh, Luiza, Anna Samelak-Czajka, Katarzyna Tomela, et al.. (2024). Gut Mycobiota Dysbiosis Is Associated with Melanoma and Response to Anti–PD-1 Therapy. Cancer Immunology Research. 12(4). 427–439. 13 indexed citations
10.
Tomela, Katarzyna, Anna Samelak-Czajka, Marcin Schmidt, et al.. (2022). The standardisation of the approach to metagenomic human gut analysis: from sample collection to microbiome profiling. Scientific Reports. 12(1). 8470–8470. 31 indexed citations
11.
Galka-Marciniak, Paulina, Martyna Olga Urbanek-Trzeciak, Anna Philips, et al.. (2021). Profile of Basal Cell Carcinoma Mutations and Copy Number Alterations - Focus on Gene-Associated Noncoding Variants. Frontiers in Oncology. 11. 752579–752579. 5 indexed citations
12.
Philips, Anna, et al.. (2020). Expression Landscape of circRNAs in Arabidopsis thaliana Seedlings and Adult Tissues. Frontiers in Plant Science. 11. 576581–576581. 11 indexed citations
14.
Makowska, Nicoletta, et al.. (2020). Urban wastewater as a conduit for pathogenic Gram-positive bacteria and genes encoding resistance to β-lactams and glycopeptides. The Science of The Total Environment. 765. 144176–144176. 31 indexed citations
15.
Philips, Anna, John Hochstein, & William S. Janna. (2020). Senior Freshman Collaboration In A Capstone Design Course. Papers on Engineering Education Repository (American Society for Engineering Education). 8.1007.1–8.1007.12. 3 indexed citations
16.
Makowska, Nicoletta, Anna Philips, Mirosława Dabert, et al.. (2019). Metagenomic analysis of β-lactamase and carbapenemase genes in the wastewater resistome. Water Research. 170. 115277–115277. 59 indexed citations
17.
Juras, Anna, Luiza Handschuh, Anna Philips, et al.. (2018). A mosaic genetic structure of the human population living in the South Baltic region during the Iron Age. Scientific Reports. 8(1). 2455–2455. 8 indexed citations
18.
Jackowiak, Paulina, Anna Philips, Agnieszka Żmieńko, et al.. (2017). Small RNA fragments derived from multiple RNA classes – the missing element of multi-omics characteristics of the hepatitis C virus cell culture model. BMC Genomics. 18(1). 502–502. 17 indexed citations
19.
Philips, Anna, Grzegorz Łach, & Janusz M. Bujnicki. (2015). Computational Methods for Prediction of RNA Interactions with Metal Ions and Small Organic Ligands. Methods in enzymology on CD-ROM/Methods in enzymology. 553. 261–285. 11 indexed citations
20.
Philips, Anna, Kaja Milanowska, Grzegorz Łach, & Janusz M. Bujnicki. (2013). LigandRNA: computational predictor of RNA–ligand interactions. RNA. 19(12). 1605–1616. 72 indexed citations

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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