Joanna Mika

8.0k citations
147 papers · 6.4k indexed · 2 hit papers · h-index 46

Joanna Mika

144 papers receiving 6.3k citations

Hit Papers

Mechanisms of Chemotherapy-Induced Peripheral ...5312013202620172021100200300400500

Peers

Joanna Mika
Comparison fields: 5 of 127
  • Physiology 4.0k
  • Cellular and Molecular Neuroscience 2.5k
  • Biological Psychiatry 309
  • Pharmacology 950
  • Neurology 869
Replace Camilla I. Svensson with:
Camilla I. Svensson Sweden
Yong‐Jing Gao China
Erin D. Milligan United States
Yasushi Kuraishi Japan
Zhen‐Zhong Xu United States
Temugin Berta United States
Joyce A. DeLeo United States
Peter M. Grace United States
Zhijun Zhang China
Anna K. Clark United Kingdom
Joanna Mika relative to Camilla I. Svensson Sweden Camilla I. Svensson's profile →
Citations per field
00.5×1.5×
Camilla I. Svensson · 1×
Citations per year

Countries citing papers authored by Joanna Mika

Since Specialization
Citations

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

Fields of papers citing papers by Joanna Mika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Joanna Mika, 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 Joanna Mika Line = papers co-authored together Joanna Mika links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20245
5 202316
6 202317
7 202131
8 20215
9 202030
10 202018
11 20191
12 201710
13 201749
14 201762
15 20156
16
The role of interleukin-1 family of cytokines in nociceptive transmission
20142
17
Chemokines under neuropathic pain
20141
18
Importance of glial activation in neuropathic painbreakdown →
2013382
19
The opioid systems and the role of glial cells in the effects of opioids
20084
20 200455

About Joanna Mika

Joanna Mika is a scholar working on Physiology, Pharmacology and Cellular and Molecular Neuroscience, having authored 147 papers that have together received 6.4k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (110 papers), Neuropeptides and Animal Physiology (53 papers), Pharmacological Effects of Natural Compounds (35 papers), Botulinum Toxin and Related Neurological Disorders (20 papers), Neuroinflammation and Neurodegeneration Mechanisms (19 papers), Nerve injury and regeneration (17 papers), Peripheral Neuropathies and Disorders (10 papers) and Stress Responses and Cortisol (10 papers). The work is most often cited by research in Physiology (4.0k citations), Cellular and Molecular Neuroscience (2.5k citations) and Biological Psychiatry (309 citations). Joanna Mika has collaborated with scholars based in Poland, Italy and Germany. Frequent co-authors include Barbara Przewłocka, Ewelina Rojewska, Wioletta Makuch, Katarzyna Popiołek-Barczyk, Anna Piotrowska, Magdalena Żychowska, Maria Osikowicz, Magdalena Kocot-Kępska, Jerzy Wordliczek and Renata Zajączkowska. Their work appears in journals such as Pharmacological Reports, European Journal of Pharmacology, International Journal of Molecular Sciences, Frontiers in Immunology and Pharmaceuticals.

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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