Agata Filip

1.1k citations
67 papers · 751 · h-index 17

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

Agata Filip

62 papers receiving 742 citations

Peers

Agata Filip
Comparison fields: 5 of 102
  • Cancer Research 175
  • Genetics 107
  • Obstetrics and Gynecology 63
  • Immunology 140
  • Hematology 73
Replace Lizhen Gui with:
Lizhen Gui United States
Ying Xie China
Samy Hakroush Germany
Tsan‐Teng Ou Taiwan
Aleck Hercbergs United States
Zhuochun Huang China
Toshiyuki Sumi Japan
Prasoon Agarwal Sweden
Jun Tan China
Agata Filip relative to Lizhen Gui United States Lizhen Gui's profile →
Citations per field
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Lizhen Gui · 1×
Citations per year

Countries citing papers authored by Agata Filip

Since Specialization
Citations

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

Fields of papers citing papers by Agata Filip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201876
2 200550
3 201349
4 201934
5 202233
6 202032
7 201529
8 201627
9 200527
10 201925
11 201323
12 201923
13 201319
14
[Epidemiology, prevention and risk morbidity factors for lung cancer].
201519
15
[MiRNA--new mechanisms of gene expression control].
200719
16 200418
17 202016
18 201915
19 202214
20 201813

About Agata Filip

Agata Filip is a scholar working on Molecular Biology, Oncology, Genetics, Pathology and Forensic Medicine and Cancer Research, having authored 67 papers that have together received 751 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (15 papers), MicroRNA in disease regulation (10 papers), Lymphoma Diagnosis and Treatment (7 papers), Cancer-related Molecular Pathways (7 papers), Multiple Myeloma Research and Treatments (6 papers), Acute Lymphoblastic Leukemia research (6 papers), Pregnancy and preeclampsia studies (5 papers) and Circular RNAs in diseases (4 papers). The work is most often cited by research in Cancer Research (175 citations), Genetics (107 citations), Obstetrics and Gynecology (63 citations), Immunology (140 citations) and Hematology (73 citations). Agata Filip has collaborated with scholars based in Poland, United States and France. Frequent co-authors include Szymon Zmorzyński, Bogumiła Ciseł, Ewa Wąsik‐Szczepanek, Bożenna Karczmarek-Borowska, Anna Gumieniczek, Anna Grenda, Sylwia Popek-Marciniec, J Wojcierowski, Agata Smoleń and G. Johan A. Offerhaus. Their work appears in journals such as Journal of Clinical Medicine, International Journal of Molecular Sciences, BioMed Research International, Molecules and Cells.

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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