C Paszko-Kolva

17 total papers · 931 total citations
16 papers, 733 citations indexed

About

C Paszko-Kolva is a scholar working on Endocrinology, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, C Paszko-Kolva has authored 16 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrinology, 7 papers in Molecular Biology and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in C Paszko-Kolva's work include Legionella and Acanthamoeba research (10 papers), Bacterial biofilms and quorum sensing (6 papers) and Water Treatment and Disinfection (6 papers). C Paszko-Kolva is often cited by papers focused on Legionella and Acanthamoeba research (10 papers), Bacterial biofilms and quorum sensing (6 papers) and Water Treatment and Disinfection (6 papers). C Paszko-Kolva collaborates with scholars based in United States, Spain and Canada. C Paszko-Kolva's co-authors include M. Shahamat, Rita R. Colwell, C J Palmer, Michael Kessel, Cynthia Mayer, Y L Tsai, Mansel W. Griffiths, Carolyn Larkin, Kris Rahn and Shu Chen and has published in prestigious journals such as Applied and Environmental Microbiology, Water Research and Journal of Clinical Microbiology.

In The Last Decade

C Paszko-Kolva

15 papers receiving 667 citations

Author Peers

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

Author						Papers	Cites
C Paszko-Kolva	374	287	192	158	123	16	733
Laam Li	291 0.8×	348 1.2×	103 0.5×	37 0.2×	142 1.2×	12	861
Mariana Fittipaldi	225 0.6×	237 0.8×	87 0.5×	39 0.2×	157 1.3×	21	742
Nilmini Mendis	352 0.9×	423 1.5×	109 0.6×	37 0.2×	150 1.2×	13	910
Maria Carla Tafi	279 0.7×	250 0.9×	77 0.4×	36 0.2×	154 1.3×	12	879
Jadwiga Winiecka-Krusnell	355 0.9×	235 0.8×	83 0.4×	78 0.5×	39 0.3×	24	836
Ana González	179 0.5×	186 0.6×	29 0.2×	105 0.7×	467 3.8×	26	776
M.F. O’Brien	253 0.7×	239 0.8×	66 0.3×	174 1.1×	40 0.3×	23	782
P. Matsiota-Bernard	209 0.6×	151 0.5×	48 0.3×	67 0.4×	50 0.4×	33	681
Rachele Giovanna Neglia	173 0.5×	170 0.6×	121 0.6×	41 0.3×	62 0.5×	31	883
Nicolas Radomski	98 0.3×	310 1.1×	46 0.2×	74 0.5×	256 2.1×	33	905

Countries citing papers authored by C Paszko-Kolva

Since Specialization

Citations

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

Fields of papers citing papers by C Paszko-Kolva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C Paszko-Kolva. 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 C Paszko-Kolva. The network helps show where C Paszko-Kolva may publish in the future.

Co-authorship network of co-authors of C Paszko-Kolva

This figure shows the co-authorship network connecting the top 25 collaborators of C Paszko-Kolva. A scholar is included among the top collaborators of C Paszko-Kolva 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 C Paszko-Kolva. C Paszko-Kolva 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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