I Niebrój-Dobosz
- Molecular Biology
- Neurology top 5%
- Genetics top 5%
- Cellular and Molecular Neuroscience top 10%
- Physiology
- Co-authors
- Piotr JanikHubert KwiecińskiI Hausmanowa-PétrusewiczBeata SokołowskaDorota DziewulskaAnna FidziańskaJ RafałowskaEwa Sawicka
- Topics
- Muscle Physiology and Disorders (14 papers)Amyotrophic Lateral Sclerosis Research (13 papers)Nuclear Structure and Function (12 papers)
- Partner nations
- PolandUnited StatesSlovakia
In The Last Decade
I Niebrój-Dobosz
59 papers receiving 663 citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 318
- Neurology 288
- Genetics 169
- Cellular and Molecular Neuroscience 126
- Physiology 119
Countries citing papers authored by I Niebrój-Dobosz
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | A PATTERN RECOGNITION APPROACH TO EMERY-DREIFUSS MUSCULAR DYSTROPHY (EDMD) STUDY | 1 |
| 3 | 15 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | ANALYSIS OF MATRIX METALLOPROTEINASES (MMPS) IN CEREBROSPINAL FLUID OF PATIENTS WITH AMYOTROPHIC LATERAL SCLEROSIS (ALS) | 1 |
| 7 | 74 | |
| 8 | 27 | |
| 9 | Pattern recognition approach to differentiation of disease severity in patients with amyotrophic lateral sclerosis | 2 |
| 10 | 3 | |
| 11 | 13 | |
| 12 | 22 | |
| 13 | 19 | |
| 14 | 19 | |
| 15 | Cytotoxic activity of serum and cerebrospinal fluid of amyotrophic lateral sclerosis (ALS) patients against acetylcholinesterase. | 4 |
| 16 | 5 | |
| 17 | 8 | |
| 18 | Blood-cerebrospinal fluid barrier integrity in cerebral infarction. | 3 |
| 19 | 5 | |
| 20 | [Serum lipids in various polyneuropathies]. | 1 |
About I Niebrój-Dobosz
I Niebrój-Dobosz is a scholar working on Neurology, Cellular and Molecular Neuroscience and Clinical Biochemistry, having authored 62 papers that have together received 696 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (14 papers), Amyotrophic Lateral Sclerosis Research (13 papers) and Nuclear Structure and Function (12 papers). The work is most often cited by research in Neurology (288 citations), Genetics (169 citations) and Neurology (82 citations). I Niebrój-Dobosz has collaborated with scholars based in Poland, United States and Slovakia. Frequent 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. Their work appears in journals such as Neurology, Journal of Neurology Neurosurgery & Psychiatry and Acta Neuropathologica.
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.