Anna Hupalowska

25 total papers · 3.7k total citations
19 papers, 1.4k citations indexed

About

Anna Hupalowska is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Cell Biology. According to data from OpenAlex, Anna Hupalowska has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Public Health, Environmental and Occupational Health and 4 papers in Cell Biology. Recurrent topics in Anna Hupalowska's work include Reproductive Biology and Fertility (5 papers), Single-cell and spatial transcriptomics (5 papers) and Pluripotent Stem Cells Research (4 papers). Anna Hupalowska is often cited by papers focused on Reproductive Biology and Fertility (5 papers), Single-cell and spatial transcriptomics (5 papers) and Pluripotent Stem Cells Research (4 papers). Anna Hupalowska collaborates with scholars based in United Kingdom, Poland and France. Anna Hupalowska's co-authors include Magdalena Zernicka‐Goetz, Agnieszka Jędrusik, Marta Miączyńska, John C. Marioni, Jennifer Rood, Aviv Regev, Thierry Voet, Sarah J. L. Graham, Antonio Scialdone and Iain C. Macaulay and has published in prestigious journals such as Nature, Cell and Nature Medicine.

In The Last Decade

Anna Hupalowska

18 papers receiving 1.4k citations

Hit Papers

Self-organization of the ... 2016 2026 2019 2022 2016 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Anna Hupalowska 1.1k 269 218 160 142 19 1.4k
Agnieszka Jędrusik 1.5k 1.4× 462 1.7× 163 0.7× 117 0.7× 112 0.8× 20 1.8k
Marta N. Shahbazi 1.1k 1.0× 321 1.2× 278 1.3× 54 0.3× 109 0.8× 25 1.5k
Jens Hirchenhain 908 0.8× 315 1.2× 354 1.6× 69 0.4× 200 1.4× 25 1.6k
Guo Qing Tong 1.1k 1.0× 434 1.6× 56 0.3× 94 0.6× 61 0.4× 18 1.4k
Sandra Varum 1.3k 1.2× 246 0.9× 89 0.4× 249 1.6× 72 0.5× 15 1.8k
Kevin Huang 1.4k 1.3× 174 0.6× 56 0.3× 278 1.7× 112 0.8× 19 1.8k
Steffen Biechele 1.3k 1.1× 143 0.5× 193 0.9× 108 0.7× 136 1.0× 18 1.7k
Norah M. E. Fogarty 1.3k 1.2× 332 1.2× 70 0.3× 86 0.5× 157 1.1× 14 1.7k
Katie Cockburn 1.2k 1.1× 237 0.9× 841 3.9× 69 0.4× 121 0.9× 18 1.8k
Thorsten Boroviak 1.3k 1.2× 211 0.8× 74 0.3× 79 0.5× 98 0.7× 27 1.5k

Countries citing papers authored by Anna Hupalowska

Since Specialization
Citations

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

Fields of papers citing papers by Anna Hupalowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Hupalowska

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Hupalowska. A scholar is included among the top collaborators of Anna Hupalowska 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 Hupalowska. Anna Hupalowska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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