Nikola Baschuk

1.3k citations
21 papers · 757 · h-index 14

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune cells in cancer
  • Hepatology top 10%
    • Hepatitis C virus research

Papers in

    • Immune Cell Function and Interaction 9
    • Immunotherapy and Immune Responses 6
    • T-cell and B-cell Immunology 5
    • Immune cells in cancer 3
    • Cancer Immunotherapy and Biomarkers 2
    • Cytokine Signaling Pathways and Interactions 2

Nikola Baschuk

21 papers receiving 750 citations

Peers

Nikola Baschuk
Comparison fields: 5 of 78
  • Immunology 306
  • Hepatology 99
  • Oncology 185
  • Epidemiology 176
  • Cancer Research 52
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Citations per field
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Citations per year

Countries citing papers authored by Nikola Baschuk

Since Specialization
Citations

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

Fields of papers citing papers by Nikola Baschuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020109
2 201596
3 201575
4 201763
5 201561
6 201157
7 201245
8 200742
9 201537
10 201930
11 201429
12 201427
13 201123
14 202118
15 201312
16 200711
17 20097
18 20216
19 20155
20 20233

About Nikola Baschuk

Nikola Baschuk is a scholar working on Immunology, Oncology, Epidemiology, Molecular Biology and Cell Biology, having authored 21 papers that have together received 757 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), Immunotherapy and Immune Responses (6 papers), T-cell and B-cell Immunology (5 papers), Hepatitis B Virus Studies (3 papers), Immune cells in cancer (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Proteoglycans and glycosaminoglycans research (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Immunology (306 citations), Hepatology (99 citations), Oncology (185 citations), Epidemiology (176 citations) and Cancer Research (52 citations). Nikola Baschuk has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include Belinda S. Parker, Gregor Ebert, Daniel M. Andrews, Michael D. Stutz, Marc Pellegrini, C. Glenn Begley, Ueli Nachbur, Samar Ojaimi, Mark D. Hulett and John Silke. Their work appears in journals such as The Journal of Immunology, Proceedings of the National Academy of Sciences, Cancer Immunology Immunotherapy, Cancer Immunology Research and Nature Communications.

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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