Marta Sosnowska

21 total papers · 915 total citations
16 papers, 773 citations indexed

About

Marta Sosnowska is a scholar working on Molecular Biology, Analytical Chemistry and Bioengineering. According to data from OpenAlex, Marta Sosnowska has authored 16 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Analytical Chemistry and 4 papers in Bioengineering. Recurrent topics in Marta Sosnowska's work include Analytical chemistry methods development (5 papers), Analytical Chemistry and Sensors (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Marta Sosnowska is often cited by papers focused on Analytical chemistry methods development (5 papers), Analytical Chemistry and Sensors (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Marta Sosnowska collaborates with scholars based in Poland, United States and Italy. Marta Sosnowska's co-authors include Francis D’Souza, Włodzimierz Kutner, Tan‐Phat Huynh, Piyush Sindhu Sharma, Kamil Kwiatkowski, Marek Dudyński, Krzysztof Noworyta, J.C. van Dyk, Paweł Borowicz and Maciej Cieplak and has published in prestigious journals such as Analytical Chemistry, Progress in Polymer Science and ACS Applied Materials & Interfaces.

In The Last Decade

Marta Sosnowska

16 papers receiving 759 citations

Author Peers

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

Author						Papers	Cites
Marta Sosnowska	349	215	211	204	122	16	773
Yubo Wei	307 0.9×	196 0.9×	283 1.3×	211 1.0×	171 1.4×	26	871
Subramanian Suriyanarayanan	226 0.6×	183 0.9×	365 1.7×	134 0.7×	162 1.3×	28	780
Snehasis Bhakta	435 1.2×	150 0.7×	135 0.6×	257 1.3×	96 0.8×	24	790
Ayça Atılır Özcan	209 0.6×	275 1.3×	208 1.0×	158 0.8×	102 0.8×	25	831
Maryam Shanehsaz	193 0.6×	162 0.8×	242 1.1×	179 0.9×	117 1.0×	28	709
Carlo Gonzato	266 0.8×	151 0.7×	452 2.1×	128 0.6×	164 1.3×	23	868
Huiting Lian	163 0.5×	297 1.4×	84 0.4×	190 0.9×	124 1.0×	29	640
Huaifang Fang	188 0.5×	255 1.2×	116 0.5×	111 0.5×	106 0.9×	21	734
Ekta Roy	191 0.5×	216 1.0×	126 0.6×	124 0.6×	74 0.6×	25	653
Nashmil Karimian	102 0.3×	357 1.7×	128 0.6×	153 0.8×	65 0.5×	15	641

Countries citing papers authored by Marta Sosnowska

Since Specialization

Citations

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

Fields of papers citing papers by Marta Sosnowska

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marta Sosnowska

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