Grażyna Końska

24 total papers · 425 total citations
19 papers, 363 citations indexed

About

Grażyna Końska is a scholar working on Molecular Biology, Pharmacology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Grażyna Końska has authored 19 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Pharmacology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Grażyna Końska's work include Glycosylation and Glycoproteins Research (10 papers), Fungal Biology and Applications (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Grażyna Końska is often cited by papers focused on Glycosylation and Glycoproteins Research (10 papers), Fungal Biology and Applications (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Grażyna Końska collaborates with scholars based in Poland and France. Grażyna Końska's co-authors include Jacques Guillot, M de Latour, Mireille Damez, Florence Caldefie‐Chezet, Martine Dusser, Bernard Botton, Frédérique Penault‐Llorca, J. Bessière, Sylvie Rapior and J. Guillot and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Biochimica et Biophysica Acta (BBA) - General Subjects and The Journal of Biochemistry.

In The Last Decade

Grażyna Końska

17 papers receiving 348 citations

Author Peers

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

Author						Papers	Cites
Grażyna Końska	223	109	109	104	39	19	363
William M. Mackin	125 0.6×	48 0.4×	123 1.1×	78 0.8×	17 0.4×	16	360
Chin Chin Ho	249 1.1×	35 0.3×	108 1.0×	29 0.3×	23 0.6×	16	404
Tadahiko Otaka	201 0.9×	65 0.6×	23 0.2×	41 0.4×	33 0.8×	21	384
Ruifen Zhang	183 0.8×	21 0.2×	40 0.4×	58 0.6×	27 0.7×	12	377
Sudheer Kumar Katari	179 0.8×	42 0.4×	64 0.6×	21 0.2×	55 1.4×	30	390
Jin Ma	109 0.5×	43 0.4×	48 0.4×	49 0.5×	17 0.4×	16	320
Beatriz Gutiérrez	151 0.7×	32 0.3×	31 0.3×	73 0.7×	11 0.3×	16	336
Jiayi Wei	170 0.8×	18 0.2×	40 0.4×	52 0.5×	21 0.5×	18	379
Jan Paul Bebelman	284 1.3×	41 0.4×	37 0.3×	49 0.5×	16 0.4×	18	388
Hideo Shimamura	223 1.0×	120 1.1×	133 1.2×	14 0.1×	25 0.6×	23	393

Countries citing papers authored by Grażyna Końska

Since Specialization

Citations

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

Fields of papers citing papers by Grażyna Końska

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grażyna Końska

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