Ivan Shabo

1.4k citations
39 papers · 1.0k · h-index 18

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Phagocytosis and Immune Regulation
    • Immune Cell Function and Interaction
  • Oncology top 5%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers

Papers in

Ivan Shabo

34 papers receiving 1.0k citations

Peers

Ivan Shabo
Comparison fields: 5 of 70
  • Immunology 355
  • Oncology 431
  • Biotechnology 85
  • Cancer Research 131
  • Endocrinology, Diabetes and Metabolism 114
Replace Maria Ravanini with:
Maria Ravanini Italy
Theresa Lopez United States
Jiří Kalabis United States
Fiona Zhong United States
Anna Juncker‐Jensen United States
Almudena Santos United Kingdom
Carolyn Rainer United States
Richard Volckmann Netherlands
Rafael Carretero Spain
Stephanie J. McAlhany United States
Ivan Shabo relative to Maria Ravanini Italy Maria Ravanini's profile →
Citations per field
00.5×4.4×
Maria Ravanini · 1×
Citations per year

Countries citing papers authored by Ivan Shabo

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Shabo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008182
2 2009122
3 201186
4 201579
5 202059
6 201352
7 201847
8 201741
9 201839
10 201538
11 201436
12 201934
13 201729
14 201125
15 201823
16 201620
17 202119
18 200518
19 201814
20 201912

About Ivan Shabo

Ivan Shabo is a scholar working on Oncology, Endocrinology, Diabetes and Metabolism, Molecular Biology, Immunology and Surgery, having authored 39 papers that have together received 1.0k indexed citations. Recurring topics across this work include Immune cells in cancer (8 papers), Cancer Cells and Metastasis (7 papers), Thyroid Cancer Diagnosis and Treatment (7 papers), Bladder and Urothelial Cancer Treatments (4 papers), Epigenetics and DNA Methylation (3 papers), Hormonal Regulation and Hypertension (3 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers) and Genetic factors in colorectal cancer (3 papers). The work is most often cited by research in Immunology (355 citations), Oncology (431 citations), Biotechnology (85 citations), Cancer Research (131 citations) and Endocrinology, Diabetes and Metabolism (114 citations). Ivan Shabo has collaborated with scholars based in Sweden, United States and Australia. Frequent co-authors include Joar Svanvik, Hans Olsson, Olle Stål, Annelie Lindström, Sun Xiao, C. Christofer Juhlin, Firas Aljabery, Staffan Jahnson, Stina Garvin and Jan Zedenius. Their work appears in journals such as Urologic Oncology Seminars and Original Investigations, PLoS ONE, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, International Journal of Cancer and Scientific Reports.

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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