Anna Noczyńska

166 total papers · 1.4k total citations
83 papers, 804 citations indexed

About

Anna Noczyńska is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology. According to data from OpenAlex, Anna Noczyńska has authored 83 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Endocrinology, Diabetes and Metabolism, 31 papers in Genetics and 17 papers in Molecular Biology. Recurrent topics in Anna Noczyńska's work include Diabetes and associated disorders (18 papers), Growth Hormone and Insulin-like Growth Factors (15 papers) and Diabetes Management and Research (9 papers). Anna Noczyńska is often cited by papers focused on Diabetes and associated disorders (18 papers), Growth Hormone and Insulin-like Growth Factors (15 papers) and Diabetes Management and Research (9 papers). Anna Noczyńska collaborates with scholars based in Poland, United States and United Kingdom. Anna Noczyńska's co-authors include Małgorzata Krzystek‐Korpacka, Agnieszka Zubkiewicz‐Kucharska, Wojciech Gawron, Andrzej Gamian, Irena Kustrzeba−Wójcicka, Bogdan Zieliński, Izabela Berdowska, Urszula Zaleska–Dorobisz, Ewa Barg and Wojciech Młynarski and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes Care and Diabetologia.

In The Last Decade

Anna Noczyńska

78 papers receiving 789 citations

Author Peers

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

Author						Papers	Cites
Anna Noczyńska	255	214	160	135	112	83	804
Aleksandra Araszkiewicz	290 1.1×	134 0.6×	153 1.0×	109 0.8×	117 1.0×	81	835
Wei Wu	181 0.7×	103 0.5×	137 0.9×	311 2.3×	70 0.6×	80	1.0k
Huibin Huang	275 1.1×	87 0.4×	124 0.8×	172 1.3×	137 1.2×	90	886
Vadim V. Klimontov	377 1.5×	180 0.8×	216 1.4×	168 1.2×	66 0.6×	100	777
Junnosuke Miura	522 2.0×	317 1.5×	292 1.8×	124 0.9×	169 1.5×	70	992
J.A. Amado	150 0.6×	170 0.8×	203 1.3×	218 1.6×	137 1.2×	60	982
Alan O. Malabanan	177 0.7×	73 0.3×	150 0.9×	166 1.2×	117 1.0×	45	1.0k
Danielle J. Borg	283 1.1×	166 0.8×	320 2.0×	208 1.5×	100 0.9×	39	953
Jie-Jen Lee	244 1.0×	95 0.4×	187 1.2×	229 1.7×	92 0.8×	66	1.1k
A. W. Patrick	442 1.7×	149 0.7×	168 1.1×	93 0.7×	106 0.9×	35	707

Countries citing papers authored by Anna Noczyńska

Since Specialization

Citations

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

Fields of papers citing papers by Anna Noczyńska

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Noczyńska

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Noczyńska. A scholar is included among the top collaborators of Anna Noczyńska 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 Noczyńska. Anna Noczyńska 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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