K Kubicka

498 citations
34 papers · 279 · h-index 11

Impact in

Papers in

K Kubicka

27 papers receiving 272 citations

Peers

K Kubicka
Comparison fields: 5 of 80
  • Pathology and Forensic Medicine 133
  • Neurology 45
  • Psychiatry and Mental health 44
  • Biological Psychiatry 6
  • Physiology 52
Replace Nasim Rezaeimanesh with:
Nasim Rezaeimanesh Iran
Nicole M. Orzechowski United States
Shir Azrielant Israel
Chul Joong Lee South Korea
Priscilla Bäcker‐Koduah Germany
Martina D’Onghia Italy
María Betina Nishishinya Spain
Long Yang China
Márcia Alessandra Carneiro Pedrosa Brazil
Fabrizio Nannipieri Italy
K Kubicka relative to Nasim Rezaeimanesh Iran Nasim Rezaeimanesh's profile →
Citations per field
00.5×10×16×
Nasim Rezaeimanesh · 1×
Citations per year

Countries citing papers authored by K Kubicka

Since Specialization
Citations

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

Fields of papers citing papers by K Kubicka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside K Kubicka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with K Kubicka Line = papers co-authored together K Kubicka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201252
2 201949
3
[Quality of life in multiple sclerosis--association with clinical features, fatigue and depressive syndrome].
201328
4 201917
5 201515
6 201413
7 202013
8 202012
9 201411
10 201311
11 201511
12 20217
13 20006
14 20236
15 20214
16 20194
17 20204
18 20143
19 20223
20 20212

About K Kubicka

K Kubicka is a scholar working on Pathology and Forensic Medicine, Psychiatry and Mental health, Infectious Diseases, Neurology and Surgery, having authored 34 papers that have together received 279 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (14 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (6 papers), Systemic Sclerosis and Related Diseases (5 papers), Long-Term Effects of COVID-19 (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Health, Work, and Social Studies in Poland (3 papers), Muscle metabolism and nutrition (3 papers) and High Altitude and Hypoxia (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (133 citations), Neurology (45 citations), Psychiatry and Mental health (44 citations), Biological Psychiatry (6 citations) and Physiology (52 citations). K Kubicka has collaborated with scholars based in Poland. Frequent co-authors include Krystyna Pierzchała, Beata Łabuz-Roszak, Monika Adamczyk‐Sowa, Michał Skrzypek, Małgorzata Magdalena Michalczyk, Paweł Sowa, Natalia Niedziela, Paweł Dobrakowski, Jerzy Jaroszewicz and Ewa Niewiadomska. Their work appears in journals such as Journal of Human Kinetics, Advances in Clinical and Experimental Medicine, Forest Pathology, Multiple Sclerosis and Related Disorders and International Journal of Environmental Research and Public Health.

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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