Heiko Sic

846 citations
12 papers · 673 · h-index 11

Impact in

  • Immunology top 10%
    • Immunodeficiency and Autoimmune Disorders
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
    • NF-κB Signaling Pathways

Papers in

    • Immunodeficiency and Autoimmune Disorders 6
    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 2
    • NF-κB Signaling Pathways 2

Heiko Sic

12 papers receiving 663 citations

Peers

Heiko Sic
Comparison fields: 5 of 66
  • Immunology 448
  • Cancer Research 128
  • Hematology 50
  • Genetics 45
  • Oncology 90
Replace Hidenori Hase with:
Hidenori Hase Japan
Tina Romeo United States
Divya Punwani United States
Caterina Vitali Italy
Lise Forfang Norway
Máté Tolnay United States
Drew M. Pardoll United States
Carissa R. Moore United States
Lequn Li United States
Alessia Burocchi Italy
Heiko Sic relative to Hidenori Hase Japan Hidenori Hase's profile →
Citations per field
00.5×2×4×6×8×9×
Hidenori Hase · 1×
Citations per year

Countries citing papers authored by Heiko Sic

Since Specialization
Citations

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

Fields of papers citing papers by Heiko Sic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2014122
2 2015115
3 2014111
4 201474
5 201469
6 201449
7 201334
8 201729
9 201421
10 201521
11 201319
12 20159

About Heiko Sic

Heiko Sic is a scholar working on Immunology, Cancer Research, Immunology and Allergy, Hematology and Molecular Biology, having authored 12 papers that have together received 673 indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (6 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (2 papers), NF-κB Signaling Pathways (2 papers), Sphingolipid Metabolism and Signaling (1 paper), Cell Adhesion Molecules Research (1 paper) and Hematopoietic Stem Cell Transplantation (1 paper). The work is most often cited by research in Immunology (448 citations), Cancer Research (128 citations), Hematology (50 citations), Genetics (45 citations) and Oncology (90 citations). Heiko Sic has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Hermann Eibel, Marta Rizzi, Helene Kraus, Anne‐Kathrin Kienzler, Arzu Meltem Demir, Kaan Boztuǧ, Elisangela Santos-Valente, Aydan Kansu, Winfried Franz Pickl and Ulrich Salzer. Their work appears in journals such as The Journal of Immunology, Journal of Allergy and Clinical Immunology, Current Allergy and Asthma Reports, Nature Communications and Journal of Virology.

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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