C. Huber

498 total citations
10 papers, 397 citations indexed

About

C. Huber is a scholar working on Immunology, Oncology and Statistics and Probability. According to data from OpenAlex, C. Huber has authored 10 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Oncology and 2 papers in Statistics and Probability. Recurrent topics in C. Huber's work include Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (2 papers) and Statistical Methods and Bayesian Inference (1 paper). C. Huber is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (2 papers) and Statistical Methods and Bayesian Inference (1 paper). C. Huber collaborates with scholars based in Germany, Australia and United States. C. Huber's co-authors include Barbara Seliger, Thomas Blankenstein, Frank Momburg, Jean Decker, E. Jaeger, Stefan Störkel, Arne Engelsberg, Elena Neumann, Gerold Schuler and Jian Li and has published in prestigious journals such as International Immunology, Scandinavian Journal of Immunology and International Statistical Review.

In The Last Decade

C. Huber

10 papers receiving 389 citations

Peers

C. Huber
Comparison fields: 5 of 65
  • Immunology 305
  • Oncology 160
  • Molecular Biology 148
  • Genetics 28
  • Radiology, Nuclear Medicine and Imaging 23
Replace Mingxia Song with:
Mingxia Song Germany
Carmen Choi Germany
Giuseppe Consogno Italy
Jutta Schröder Germany
Jessica Cantrell United States
Matthew N. Harris United States
Nicolas Acquavella United States
Kirsten Nikolajsen Denmark
Laura Fiammenghi Italy
Soyoko Morimoto Japan
Mingxia Song Germany View profile →
Citations per field, relative to C. Huber
C. Huber · 1×
Citations per year, relative to C. Huber
C. Huber · 1×

Countries citing papers authored by C. Huber

Since Specialization
Citations

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

Fields of papers citing papers by C. Huber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Huber

This figure shows the co-authorship network connecting the top 25 collaborators of C. Huber. A scholar is included among the top collaborators of C. Huber based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C. Huber. C. Huber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1 7
2
The Freezing and Fracture of Icy Satellites: Experimental Analog and Stress Analysis
1
3
Lymphotoxin-beta receptor-dependent genes in lymph node and follicular dendritic cell transcriptomes
1
4 44
5
Characterization of the major histocompatibility complex class I deficiencies in B16 melanoma cells.
168
6
Heterogeneous expression of the tumor-associated antigens RAGE-1, PRAME, and glycoprotein 75 in human renal cell carcinoma: candidates for T-cell-based immunotherapies?
133
7 27
8 2
9
Matched pair experiments: cox and maximum likelihood estimation
13
10 1

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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