I Niebrój-Dobosz

91 total papers · 879 total citations
62 papers, 694 citations indexed

About

I Niebrój-Dobosz is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, I Niebrój-Dobosz has authored 62 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 15 papers in Cellular and Molecular Neuroscience and 15 papers in Neurology. Recurrent topics in I Niebrój-Dobosz's work include Muscle Physiology and Disorders (14 papers), Amyotrophic Lateral Sclerosis Research (13 papers) and Nuclear Structure and Function (12 papers). I Niebrój-Dobosz is often cited by papers focused on Muscle Physiology and Disorders (14 papers), Amyotrophic Lateral Sclerosis Research (13 papers) and Nuclear Structure and Function (12 papers). I Niebrój-Dobosz collaborates with scholars based in Poland, United States and Slovakia. I Niebrój-Dobosz's co-authors include Piotr Janik, Hubert Kwieciński, I Hausmanowa-Pétrusewicz, Beata Sokołowska, Dorota Dziewulska, Anna Fidziańska, J Rafałowska, Ewa Sawicka, Michał Marchel and Agnieszka Madej‐Pilarczyk and has published in prestigious journals such as Neurology, Journal of Neurology Neurosurgery & Psychiatry and Acta Neuropathologica.

In The Last Decade

I Niebrój-Dobosz

59 papers receiving 661 citations

Author Peers

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

Author Last Decade Papers Cites
I Niebrój-Dobosz 316 287 169 126 119 62 694
Lucía Galán 435 1.4× 284 1.0× 153 0.9× 103 0.8× 137 1.2× 41 780
Bilal Malik 347 1.1× 177 0.6× 175 1.0× 185 1.5× 65 0.5× 40 639
Silvia Bonanno 309 1.0× 409 1.4× 247 1.5× 70 0.6× 66 0.6× 40 793
Chunli Zhao 304 1.0× 219 0.8× 119 0.7× 184 1.5× 115 1.0× 48 767
Elena Abati 396 1.3× 155 0.5× 185 1.1× 157 1.2× 72 0.6× 38 712
Chung Min Shin 315 1.0× 131 0.5× 61 0.4× 260 2.1× 130 1.1× 39 770
Y. Katayama 261 0.8× 149 0.5× 66 0.4× 190 1.5× 95 0.8× 40 776
Takashi Kurashige 255 0.8× 191 0.7× 56 0.3× 124 1.0× 145 1.2× 58 580
Toshiya Shiojima 253 0.8× 311 1.1× 128 0.8× 303 2.4× 110 0.9× 37 765
Permphan Dharmasaroja 228 0.7× 131 0.5× 117 0.7× 71 0.6× 46 0.4× 44 586

Countries citing papers authored by I Niebrój-Dobosz

Since Specialization
Citations

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

Fields of papers citing papers by I Niebrój-Dobosz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I Niebrój-Dobosz. 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 I Niebrój-Dobosz. The network helps show where I Niebrój-Dobosz may publish in the future.

Co-authorship network of co-authors of I Niebrój-Dobosz

This figure shows the co-authorship network connecting the top 25 collaborators of I Niebrój-Dobosz. A scholar is included among the top collaborators of I Niebrój-Dobosz 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 I Niebrój-Dobosz. I Niebrój-Dobosz 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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2026