Ivan Odak

1.3k citations
16 papers · 339 · h-index 8

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

    • T-cell and B-cell Immunology 7
    • Immune Cell Function and Interaction 7
    • Single-cell and spatial transcriptomics 2

Ivan Odak

15 papers receiving 337 citations

Peers

Ivan Odak
Comparison fields: 5 of 65
  • Immunology 198
  • Infectious Diseases 77
  • Neurology 33
  • Oncology 52
  • Dermatology 15
Replace Joana Barros‐Martins with:
Joana Barros‐Martins Germany
Ian L. McWilliams United States
Lewis A. Novack United States
Loïc Gonzalez France
Zoé L. E. van Kempen Netherlands
Moritz Anft Germany
Barbara Baronio Italy
Marion Humbert Switzerland
Elena Winheim Germany
Hoyoung Lee South Korea
Ivan Odak relative to Joana Barros‐Martins Germany Joana Barros‐Martins's profile →
Citations per field
00.5×1.5×
Joana Barros‐Martins · 1×
Citations per year

Countries citing papers authored by Ivan Odak

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Odak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 202087
2 201985
3 202161
4 202128
5 202116
6 202213
7 202111
8 20228
9 20227
10 20236
11 20226
12 20255
13 20213
14 20242
15 20201
16 20240

About Ivan Odak

Ivan Odak is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Oncology and Hematology, having authored 16 papers that have together received 339 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (3 papers), CAR-T cell therapy research (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), Single-cell and spatial transcriptomics (2 papers) and Nanowire Synthesis and Applications (1 paper). The work is most often cited by research in Immunology (198 citations), Infectious Diseases (77 citations), Neurology (33 citations), Oncology (52 citations) and Dermatology (15 citations). Ivan Odak has collaborated with scholars based in Germany, Netherlands and Portugal. Frequent co-authors include Christian Koenecke, Immo Prinz, Reinhold Förster, Christian Schultze‐Florey, Joana Barros‐Martins, Likai Tan, Arnold Ganser, Christian F. Krebs, Inga Sandrock and Alina Borchers. Their work appears in journals such as Frontiers in Immunology, EBioMedicine, PLoS ONE, Gut Microbes and Cell 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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