Anna Górska
Impact in
- Ecology top 2%
- Microbial Community Ecology and Physiology
- Environmental DNA in Biodiversity Studies
- Bacteriophages and microbial interactions
Papers in
- Hematology 12
- Autoimmune and Inflammatory Disorders Research 12
- Co-authors
- Daniel H. HusonSina BeierMohamed El-HadidiRewati TappuIsabell FladeSuparna MitraHans‐Joachim RuscheweyhMaciej A. Zwieniecki
In The Last Decade
Anna Górska
50 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Ecology 655
- Applied Microbiology and Biotechnology 28
- Molecular Medicine 64
- Endocrinology 63
- Molecular Biology 791
Countries citing papers authored by Anna Górska
This map shows the geographic impact of Anna Górska'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 Górska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Górska more than expected).
Fields of papers citing papers by Anna Górska
This network shows the impact of papers produced by Anna Górska. 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 Górska. The network helps show where Anna Górska may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Górska, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 6 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 32 | |
| 4 | 2021 | 2 | |
| 5 | 2021 | 15 | |
| 6 | 2019 | 58 | |
| 7 | 2019 | 37 | |
| 8 | 2018 | 110 | |
| 9 | 2018 | 88 | |
| 10 | 2018 | 10 | |
| 11 | MEGAN Community Edition - Interactive Exploration and Analysis of Large-Scale Microbiome Sequencing Data Hit paper breakdown → | 2016 | 1190 |
| 12 | 2015 | 26 | |
| 13 | 2014 | 2 | |
| 14 | 2014 | 6 | |
| 15 | Effect of the inflammation of the mammary gland on the content of macro- and microelements in milk. | 2012 | 2 |
| 16 | 2009 | 1 | |
| 17 | 2009 | 7 | |
| 18 | Clinical immunology Interleukin-6 and tumor necrosis factor alpha levels in the serum and synovial fluid in relation to bone mineral density and turnover in children with juvenile idiopathic arthritis | 2008 | 2 |
| 19 | 2008 | 89 | |
| 20 | 2008 | 43 |
About Anna Górska
Anna Górska is a scholar working on Applied Microbiology and Biotechnology, Hematology, Health Informatics, Molecular Medicine and Occupational Therapy, having authored 54 papers that have together received 2.0k indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders Research (12 papers), Genomics and Phylogenetic Studies (5 papers), Gut microbiota and health (5 papers), Rheumatoid Arthritis Research and Therapies (5 papers), Microbial Community Ecology and Physiology (4 papers), Plant nutrient uptake and metabolism (4 papers), Inflammasome and immune disorders (4 papers) and Adolescent and Pediatric Healthcare (3 papers). The work is most often cited by research in Ecology (655 citations), Applied Microbiology and Biotechnology (28 citations), Molecular Medicine (64 citations), Endocrinology (63 citations) and Molecular Biology (791 citations). Anna Górska has collaborated with scholars based in Poland, Germany and Italy. Frequent co-authors include Daniel H. Huson, Sina Beier, Mohamed El-Hadidi, Rewati Tappu, Isabell Flade, Suparna Mitra, Hans‐Joachim Ruscheweyh, Maciej A. Zwieniecki, N. Michèle Holbrook and Caner Bağcı. Their work appears in journals such as Clinical Microbiology and Infection, Planta, PLANT PHYSIOLOGY, Scientific Reports and Advances in Clinical and Experimental Medicine.
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.