Ch. Huber

847 citations
38 papers · 594 · h-index 12

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation

Papers in

    • Immune Cell Function and Interaction 8
    • Immunodeficiency and Autoimmune Disorders 7
    • T-cell and B-cell Immunology 7
    • Immunotherapy and Immune Responses 5
    • Blood groups and transfusion 5
    • Hematopoietic Stem Cell Transplantation 3

Ch. Huber

37 papers receiving 536 citations

Peers

Ch. Huber
Comparison fields: 5 of 71
  • Immunology 239
  • Hematology 109
  • Genetics 79
  • Urology 45
  • Oncology 128
Replace Laurent Quint with:
Laurent Quint France
M Vowels Australia
A Puissant France
Olga Pozdnyakova United States
Howard A. Britton United States
John A. Doyle United States
Moritz Braun Germany
Arianna Troilo Italy
T Grünberger Canada
Katja Hofer Austria
Ch. Huber relative to Laurent Quint France Laurent Quint's profile →
Citations per field
00.5×3.0×
Laurent Quint · 1×
Citations per year

Countries citing papers authored by Ch. Huber

Since Specialization
Citations

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

Fields of papers citing papers by Ch. Huber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992178
2 197585
3 200155
4 198754
5 197422
6 197016
7 198415
8 198615
9 197215
10 198814
11 197411
12 198711
13 197910
14 19719
15 19858
16 19888
17 19717
18 19726
19 19706
20 19746

About Ch. Huber

Ch. Huber is a scholar working on Immunology, Hematology, Genetics, Surgery and Molecular Biology, having authored 38 papers that have together received 594 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), Chronic Lymphocytic Leukemia Research (7 papers), Immunodeficiency and Autoimmune Disorders (7 papers), T-cell and B-cell Immunology (7 papers), Blood groups and transfusion (5 papers), Immunotherapy and Immune Responses (5 papers), Hematopoietic Stem Cell Transplantation (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Immunology (239 citations), Hematology (109 citations), Genetics (79 citations), Urology (45 citations) and Oncology (128 citations). Ch. Huber has collaborated with scholars based in Austria, Germany and Sweden. Frequent co-authors include Hans Wigzell, W. Meyenburg, Stefan Wellek, R. Hohenfellner, Michael Stöckle, Ulrich Gertenbach, G. Voges, J.W. Thüroff, H Braunsteiner and Dietger Niederwieser. Their work appears in journals such as Journal of Molecular Medicine, Annals of Hematology, British Journal of Haematology, Immunobiology and Acta Haematologica.

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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