Jan Sikora

779 citations
64 papers · 626 · h-index 15

Impact in

  • Hepatology top 10%
    • Hepatitis Viruses Studies and Epidemiology
    • Liver Disease and Transplantation
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Immune cells in cancer

Papers in

Jan Sikora

62 papers receiving 608 citations

Peers

Jan Sikora
Comparison fields: 5 of 106
  • Hepatology 72
  • Immunology 191
  • Oncology 111
  • Agronomy and Crop Science 35
  • Pulmonary and Respiratory Medicine 106
Replace Maya D. Srivastava with:
Maya D. Srivastava United States
Tatsuya Ando Japan
G Skibiński United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Jan Sikora

Since Specialization
Citations

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

Fields of papers citing papers by Jan Sikora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201734
2 201524
3 201122
4 201121
5 200619
6 199819
7 199818
8 201317
9 201516
10 201216
11
Imipramine distribution among red blood cells, plasma and brain tissue.
199616
12 201416
13 199615
14 199014
15 201614
16 199514
17 201814
18 201414
19
Influence of pleural macrophages on proliferative activity and apoptosis regulating proteins of malignant cells.
200814
20
The effect of drugs interacting with serotonergic 5HT3 and 5HT4 receptors on morphine place conditioning.
199414

About Jan Sikora

Jan Sikora is a scholar working on Immunology, Pulmonary and Respiratory Medicine, Molecular Biology, Epidemiology and Oncology, having authored 64 papers that have together received 626 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (8 papers), Pleural and Pulmonary Diseases (6 papers), Hepatitis C virus research (6 papers), Tryptophan and brain disorders (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Pharmacological Receptor Mechanisms and Effects (4 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Hepatology (72 citations), Immunology (191 citations), Oncology (111 citations), Agronomy and Crop Science (35 citations) and Pulmonary and Respiratory Medicine (106 citations). Jan Sikora has collaborated with scholars based in Poland, Czechia and United States. Frequent co-authors include Mariusz Kaczmarek, J Zeromski, Grzegorz Dworacki, Iwona Mozer‐Lisewska, Halina Batura‐Gabryel, Magdalena Frydrychowicz, A. Winnicka, Michał Michalak, Zdeněk Fišar and W. Kluciński. Their work appears in journals such as Tumor Biology, Lung, Advances in Clinical and Experimental Medicine, Journal of Immunology Research and Scandinavian Journal of Immunology.

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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