Joanna Pera

11.9k total citations · 1 hit paper
100 papers, 2.7k citations indexed

About

Joanna Pera is a scholar working on Neurology, Neurology and Epidemiology. According to data from OpenAlex, Joanna Pera has authored 100 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Neurology, 22 papers in Neurology and 21 papers in Epidemiology. Recurrent topics in Joanna Pera's work include Neuroinflammation and Neurodegeneration Mechanisms (18 papers), Acute Ischemic Stroke Management (18 papers) and Intracranial Aneurysms: Treatment and Complications (9 papers). Joanna Pera is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (18 papers), Acute Ischemic Stroke Management (18 papers) and Intracranial Aneurysms: Treatment and Complications (9 papers). Joanna Pera collaborates with scholars based in Poland, United States and Spain. Joanna Pera's co-authors include Tomasz Dziedzic, Agnieszka Słowik, Małgorzata Filip, Andrzej Szczudlik, Andrzej Moniczewski, Maciej Gawlik, Irena Smaga, Ewa Niedzielska, Agnieszka Słowik and Aleksandra Klimkowicz‐Mrowiec and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Joanna Pera

96 papers receiving 2.6k citations

Hit Papers

Oxidative Stress in Neurodegenerative Diseases 2015 2026 2018 2022 2015 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joanna Pera Poland 28 690 663 466 419 355 100 2.7k
Hyuk Sung Kwon South Korea 14 688 1.0× 475 0.7× 954 2.0× 320 0.8× 549 1.5× 58 2.6k
Daniele Tomassoni Italy 33 790 1.1× 334 0.5× 647 1.4× 248 0.6× 656 1.8× 127 3.2k
Catherine Marchand‐Leroux France 30 782 1.1× 835 1.3× 525 1.1× 386 0.9× 406 1.1× 56 2.5k
Matthew Schrag United States 29 728 1.1× 929 1.4× 493 1.1× 668 1.6× 930 2.6× 77 3.2k
Guo‐qing Zheng China 36 1.2k 1.8× 589 0.9× 960 2.1× 364 0.9× 431 1.2× 133 3.8k
Kota Sato Japan 25 567 0.8× 496 0.7× 341 0.7× 219 0.5× 356 1.0× 166 2.0k
Brad A. Sutherland Australia 27 926 1.3× 629 0.9× 1.5k 3.2× 607 1.4× 465 1.3× 71 3.7k
Lei Zhao China 34 1.2k 1.8× 230 0.3× 464 1.0× 429 1.0× 623 1.8× 130 3.1k
Takao Urabe Japan 32 1.2k 1.7× 673 1.0× 1.2k 2.7× 705 1.7× 565 1.6× 138 4.0k
Hahn Young Kim South Korea 24 376 0.5× 299 0.5× 620 1.3× 417 1.0× 216 0.6× 76 1.8k

Countries citing papers authored by Joanna Pera

Since Specialization
Citations

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

Fields of papers citing papers by Joanna Pera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joanna Pera

This figure shows the co-authorship network connecting the top 25 collaborators of Joanna Pera. A scholar is included among the top collaborators of Joanna Pera 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 Joanna Pera. Joanna Pera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gołda, Sławomir, Michał Korostyński, Grzegorz Kreiner, et al.. (2025). L-DOPA Induces Spatially Discrete Changes in Gene Expression in the Forebrain of Mice with a Progressive Loss of Dopaminergic Neurons. Molecular Neurobiology. 62(9). 11466–11483.
3.
Borczyk, Małgorzata, Sławomir Gołda, Marcin Piechota, et al.. (2022). Transcriptional Response of Blood Mononuclear Cells from Patients with Inflammatory and Autoimmune Disorders Exposed to “Krakow Smog”. Cells. 11(16). 2586–2586. 5 indexed citations
4.
Pera, Joanna, et al.. (2021). Association of early and later depressive symptoms with functional outcome after ischemic stroke. Journal of Neural Transmission. 128(5). 679–686. 8 indexed citations
5.
Kowalska, Katarzyna, Elzbieta Klimiec, Joanna Pera, et al.. (2020). C-reactive protein and post-stroke depressive symptoms. Scientific Reports. 10(1). 1431–1431. 20 indexed citations
6.
Klimiec, Elzbieta, Marcin Piechota, Joanna Pera, et al.. (2020). The specific ex vivo released cytokine profile is associated with ischemic stroke outcome and improves its prediction. Journal of Neuroinflammation. 17(1). 7–7. 9 indexed citations
7.
Klimiec, Elzbieta, Katarzyna Kowalska, Aleksandra Klimkowicz‐Mrowiec, et al.. (2017). Pre-stroke apathy symptoms are associated with an increased risk of delirium in stroke patients. Scientific Reports. 7(1). 7658–7658. 15 indexed citations
8.
Pera, Joanna, et al.. (2017). Association between C677T polymorphism of MTHFR gene and risk of amyotrophic lateral sclerosis: Polish population study and a meta-analysis. Neurologia i Neurochirurgia Polska. 51(2). 135–139. 5 indexed citations
9.
10.
Klimiec, Elzbieta, et al.. (2016). Plasma endotoxin activity rises during ischemic stroke and is associated with worse short-term outcome. Journal of Neuroimmunology. 297. 76–80. 35 indexed citations
11.
Niedzielska, Ewa, Irena Smaga, Maciej Gawlik, et al.. (2015). Oxidative Stress in Neurodegenerative Diseases. Molecular Neurobiology. 53(6). 4094–4125. 609 indexed citations breakdown →
12.
Kopeć, Grzegorz, et al.. (2015). Decompensated Heart Failure Is a Strong Independent Predictor of Functional Outcome After Ischemic Stroke. Journal of Cardiac Failure. 21(8). 642–646. 23 indexed citations
13.
Adamski, Mateusz, Aleksandra Golenia, Wojciech Turaj, et al.. (2014). The AGTR1 gene A1166C polymorphism as a risk factor and outcome predictor of primary intracerebral and aneurysmal subarachnoid hemorrhages. Neurologia i Neurochirurgia Polska. 48(4). 242–247. 8 indexed citations
14.
Klimkowicz‐Mrowiec, Aleksandra, et al.. (2013). Lack of association of CR1, PICALM and CLU gene polymorphisms with Alzheimer disease in a Polish population. Neurologia i Neurochirurgia Polska. 47(2). 157–160. 15 indexed citations
15.
Wnuk, Marcin, Joanna Pera, Jeremiasz Jagiełła, et al.. (2011). The rs2200733 variant on chromosome 4q25 is a risk factor for cardioembolic stroke related to atrial fibrillation in Polish patients. Neurologia i Neurochirurgia Polska. 45(2). 148–151. 18 indexed citations
16.
Popiela, Tadeusz, et al.. (2009). Perfusion computed tomography and clinical status of patients with acute ischaemic stroke.. PubMed. 42(5). 396–401. 4 indexed citations
17.
Popiela, Tadeusz, et al.. (2008). Interobserver agreement in perfusion computed tomography evaluation in acute ischaemic stroke.. PubMed. 42(5). 391–5. 6 indexed citations
18.
Słowik, Agnieszka, et al.. (2007). ACE genotype, risk and causal relationship to stroke: Implications for treatment. Current Treatment Options in Cardiovascular Medicine. 9(3). 198–204. 9 indexed citations
19.
Słowik, Agnieszka, Paweł Wołkow, Maciej Małecki, et al.. (2007). Paraoxonase 2 Gene C311S Polymorphism Is Associated with a Risk of Large Vessel Disease Stroke in a Polish Population. Cerebrovascular Diseases. 23(5-6). 395–400. 28 indexed citations
20.
Dziedzic, Tomasz, et al.. (2007). Hypoalbuminemia in acute ischemic stroke patients: frequency and correlates. European Journal of Clinical Nutrition. 61(11). 1318–1322. 43 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026