Konrad Hüppi

6.9k total citations · 3 hit papers
115 papers, 5.8k citations indexed

About

Konrad Hüppi is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Konrad Hüppi has authored 115 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 33 papers in Immunology and 19 papers in Oncology. Recurrent topics in Konrad Hüppi's work include T-cell and B-cell Immunology (21 papers), Monoclonal and Polyclonal Antibodies Research (19 papers) and Multiple Myeloma Research and Treatments (15 papers). Konrad Hüppi is often cited by papers focused on T-cell and B-cell Immunology (21 papers), Monoclonal and Polyclonal Antibodies Research (19 papers) and Multiple Myeloma Research and Treatments (15 papers). Konrad Hüppi collaborates with scholars based in United States, Switzerland and Netherlands. Konrad Hüppi's co-authors include Hitoshi Sakano, Susumu Tonegawa, Günther Heinrich, Natasha J. Caplen, David Siwarski, Walter Gerhard, Louis M. Staudt, Stephen A. Wank, Joseph R. Pisegna and Mark A. Behlke and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Konrad Hüppi

114 papers receiving 5.5k citations

Hit Papers

Sequences at the somatic ... 1979 2026 1994 2010 1979 1984 1979 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Konrad Hüppi United States 37 3.4k 2.0k 1.3k 1.0k 1.0k 115 5.8k
Keith C. Robbins United States 48 5.1k 1.5× 1.6k 0.8× 1.0k 0.8× 1.8k 1.8× 797 0.8× 94 8.1k
Richard A. Maki United States 40 3.3k 1.0× 3.4k 1.7× 1.0k 0.8× 1.0k 1.0× 604 0.6× 81 6.8k
Yuji Yamanashi Japan 43 3.5k 1.0× 2.3k 1.1× 784 0.6× 1.2k 1.2× 336 0.3× 94 7.1k
Larry R. Rohrschneider United States 51 4.3k 1.3× 2.0k 1.0× 742 0.6× 1.4k 1.4× 511 0.5× 100 6.9k
Kentaro Semba Japan 42 4.6k 1.3× 1.3k 0.6× 1.3k 1.0× 3.0k 2.9× 1.0k 1.0× 143 7.8k
Wallace Y. Langdon Australia 52 5.9k 1.7× 2.7k 1.4× 736 0.6× 2.4k 2.4× 718 0.7× 122 9.2k
Mark P. Kamps United States 46 6.1k 1.8× 1.7k 0.9× 486 0.4× 1.2k 1.2× 811 0.8× 74 8.5k
John G. Monroe United States 46 1.5k 0.5× 3.6k 1.8× 778 0.6× 705 0.7× 509 0.5× 126 5.3k
Matthew J. Scanlan United States 36 4.3k 1.2× 4.2k 2.1× 1.4k 1.0× 2.5k 2.4× 682 0.7× 50 7.3k
Stephen Desiderio United States 43 3.0k 0.9× 3.4k 1.7× 815 0.6× 954 0.9× 376 0.4× 86 6.1k

Countries citing papers authored by Konrad Hüppi

Since Specialization
Citations

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

Fields of papers citing papers by Konrad Hüppi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Konrad Hüppi

This figure shows the co-authorship network connecting the top 25 collaborators of Konrad Hüppi. A scholar is included among the top collaborators of Konrad Hüppi 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 Konrad Hüppi. Konrad Hüppi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hüppi, Konrad, et al.. (2012). The 8q24 Gene Desert: An Oasis of Non-Coding Transcriptional Activity. Frontiers in Genetics. 3. 69–69. 110 indexed citations
2.
Hüppi, Konrad, Natalia Volfovsky, Tamara L. Jones, et al.. (2008). The Identification of MicroRNAs in a Genomically Unstable Region of Human Chromosome 8q24. Molecular Cancer Research. 6(2). 212–221. 150 indexed citations
3.
McKean, D J, Konrad Hüppi, Michael V. Bell, et al.. (2008). Pillars article: generation of antibody diversity in the immune response of BALB/c mice to influenza virus hemagglutinin. Proc. Natl. Acad. Sci. USA, 81: 3180-3184, May 1984.. PubMed. 180(9). 5765–9. 6 indexed citations
4.
Hüppi, Konrad & Gadisetti V.R. Chandramouli. (2004). Molecular profiling of prostate cancer. Current Urology Reports. 5(1). 45–51. 14 indexed citations
5.
Diaw, Léna, David Siwarski, & Konrad Hüppi. (2001). Double Light Chain Producing Lymphocytes An Enigma of Allelic Exclusion. Immunologic Research. 24(3). 303–310. 1 indexed citations
6.
Siwarski, David, Uwe Müller, Jan Andersson, et al.. (1997). Structure and Expression of the c-Myc/Pvt 1 Megagene Locus. Current topics in microbiology and immunology. 224. 67–72. 12 indexed citations
7.
Siwarski, David, et al.. (1995). A p53 mutation in exon 5 associated with adenovirus transformation. Molecular Carcinogenesis. 12(1). 1–6. 3 indexed citations
8.
Hüppi, Konrad, David Siwarski, Joseph R. Pisegna, & Stephen A. Wank. (1995). Chromosomal localization of the gastric and brain receptors for cholecystokinin (CCKAR and CCKBR) in human and mouse. Genomics. 25(3). 727–729. 32 indexed citations
9.
Manohar, Vijaya, Konrad Hüppi, Elaine F. Lizzio, & Thomas Hoffman. (1994). Murine splenic hematopoietic subpopulations: the enlarged undifferentiated subset in New Zealand black mice is multipotent stem cells. Clinical and Diagnostic Laboratory Immunology. 1(1). 99–108. 1 indexed citations
10.
Bhatia, Karishma, et al.. (1994). PROGNOSTIC-SIGNIFICANCE OF P53 MUTATIONS IN SMALL NON-CLEAVED CELL LYMPHOMAS. International Journal of Oncology. 4(3). 567–71. 12 indexed citations
11.
Pisegna, Joseph R., et al.. (1993). Molecular Cloning, Functional Expression and Chromosomal Localization of the Human Cholecystokinin Type A Receptor. Biochemical and Biophysical Research Communications. 194(2). 811–818. 119 indexed citations
12.
Abbott, Catherine M., Robert D. Blank, Janan T. Eppig, et al.. (1993). Mouse chromosome 4. Mammalian Genome. 4(S1). S58–S71. 11 indexed citations
13.
Bhatia, Kishor, Konrad Hüppi, Barry Cherney, et al.. (1990). Relative Predispositional Effect of a PADPRP Marker Allele in B-Cell and Some Non B-Cell Malignancies. Current topics in microbiology and immunology. 166. 347–357. 2 indexed citations
14.
Hüppi, Konrad, et al.. (1989). Sequence and organization of the mouse poly (ADP-ribose) polymerase gene. Nucleic Acids Research. 17(9). 3387–3401. 63 indexed citations
15.
Bauer, Steven R., Lawrence A. D'Hoostelaere, & Konrad Hüppi. (1988). Restriction fragment length polymorphism near the IgH locus on mouse chromosome 12. Nucleic Acids Research. 16(16). 8200–8200. 11 indexed citations
16.
Hüppi, Konrad, Beverly A. Mock, J. Hilgers, Jarema Kochan, & Jean-Pierre Kinet. (1988). Receptors for Fc epsilon and Fc gamma are linked on mouse chromosome 1.. The Journal of Immunology. 141(8). 2807–2810. 28 indexed citations
17.
Duncan, Robert, et al.. (1988). Genes That Modify Expression of Major Urinary Proteins in Mice. Molecular and Cellular Biology. 8(7). 2705–2712. 14 indexed citations
18.
Hüppi, Konrad, Lawrence A. D'Hoostelaere, & Evelyne Jouvin‐Marche. (1986). The Context of T Cell Receptor β Chain Genes Among Wild and Inbred Mouse Species. Current topics in microbiology and immunology. 127. 291–299. 10 indexed citations
19.
Mushinski, J. Frederic, et al.. (1982). Amplification of immunoglobulin λ constant genes in populations of wild mice. Nature. 300(5894). 757–760. 37 indexed citations
20.
Sakano, Hitoshi, John Rogers, Konrad Hüppi, et al.. (1979). Domains and the hinge region of an immunoglobulin heavy chain are encoded in separate DNA segments. Nature. 277(5698). 627–633. 268 indexed citations breakdown →

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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