Daniel Maier

1.5k total citations
9 papers, 1.2k citations indexed

About

Daniel Maier is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Daniel Maier has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Genetics. Recurrent topics in Daniel Maier's work include Glioma Diagnosis and Treatment (3 papers), Cancer-related Molecular Pathways (3 papers) and RNA Research and Splicing (3 papers). Daniel Maier is often cited by papers focused on Glioma Diagnosis and Treatment (3 papers), Cancer-related Molecular Pathways (3 papers) and RNA Research and Splicing (3 papers). Daniel Maier collaborates with scholars based in Switzerland, United States and Germany. Daniel Maier's co-authors include Adrian Merlo, Erwin G. Van Meir, Nobuaki Ishii, Annie‐Claire Diserens, Mitsuhiro Tada, Yutaka Sawamura, O. Gratzl, Martin Labuhn, Monika E. Hegi and Ulrich Baumann and has published in prestigious journals such as Genes & Development, Oncogene and European Journal of Immunology.

In The Last Decade

Daniel Maier

9 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Maier Switzerland	9	847	298	282	257	178	9	1.2k
Ken Sasai Japan	16	1.2k 1.4×	396 1.3×	242 0.9×	190 0.7×	172 1.0×	29	1.5k
Anthony Boureux France	16	1.2k 1.4×	499 1.7×	279 1.0×	232 0.9×	236 1.3×	25	1.9k
Serge Carillo France	17	975 1.2×	314 1.1×	331 1.2×	137 0.5×	110 0.6×	35	1.4k
Ilka Warshawsky United States	19	561 0.7×	141 0.5×	157 0.6×	229 0.9×	238 1.3×	33	1.2k
Tsukasa Oda Japan	24	853 1.0×	205 0.7×	300 1.1×	152 0.6×	280 1.6×	70	1.5k
Cora Hallas Germany	15	853 1.0×	320 1.1×	214 0.8×	160 0.6×	470 2.6×	34	1.5k
Ignacio Pérez‐Roger Spain	16	900 1.1×	458 1.5×	103 0.4×	252 1.0×	126 0.7×	31	1.3k
Dominique Grall France	18	961 1.1×	386 1.3×	131 0.5×	280 1.1×	299 1.7×	29	1.7k
Neelam Shirsat India	22	692 0.8×	193 0.6×	233 0.8×	331 1.3×	174 1.0×	53	1.1k
Gary W. Reuther United States	24	1.5k 1.8×	538 1.8×	442 1.6×	123 0.5×	220 1.2×	49	2.3k

Countries citing papers authored by Daniel Maier

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Maier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Maier

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

All Works

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9 of 9 papers shown

Labuhn, Martin, Graham E. Jones, Daniel Maier, et al.. (2001). Quantitative real-time PCR does not show selective targeting of p14ARF but concomitant inactivation of both p16INK4A and p14ARF in 105 human primary gliomas. Oncogene. 20(9). 1103–1109. 50 indexed citations

Fulci, Giulia, Martin Labuhn, Daniel Maier, et al.. (2000). p53 gene mutation and ink4a-arf deletion appear to be two mutually exclusive events in human glioblastoma. Oncogene. 19(33). 3816–3822. 113 indexed citations

Mollenhauer, Jan, Stephan Herbertz, Uffe Holmskov, et al.. (2000). DMBT1 encodes a protein involved in the immune defense and in epithelial differentiation and is highly unstable in cancer.. PubMed. 60(6). 1704–10. 153 indexed citations

Ishii, Nobuaki, Daniel Maier, Adrian Merlo, et al.. (1999). Frequent Co‐Alterations of TP53, p16/CDKN2A, p14^ARF, PTEN Tumor Suppressor Genes in Human Glioma Cell Lines.. Brain Pathology. 9(3). 469–479. 485 indexed citations

Maier, Daniel, Gareth E. Jones, Xin Li, et al.. (1999). The PTEN lipid phosphatase domain is not required to inhibit invasion of glioma cells.. PubMed. 59(21). 5479–82. 98 indexed citations

Maier, Daniel, Marie‐France Hamou, O. Gratzl, et al.. (1998). Somatic deletion mapping on chromosome 10 and sequence analysis of PTEN/MMAC1 point to the 10q25-26 region as the primary target in low-grade and high-grade gliomas. Oncogene. 16(25). 3331–3335. 82 indexed citations

Maier, Daniel, et al.. (1997). New deletion in low-grade oligodendroglioma at the glioblastoma suppressor locus on chromosome 10q25-26. Oncogene. 15(8). 997–1000. 45 indexed citations

Baumann, Götz, et al.. (1994). In vitro characterization of major ligands for Src homology 2 domains derived from protein tyrosine kinases, from the adaptor protein SHC and from GTPase‐activating protein in Ramos B cells. European Journal of Immunology. 24(8). 1799–1807. 64 indexed citations

Ramos, Ricardo Guelerman Pinheiro, Gabor L. Igloi, Ulrich Baumann, et al.. (1993). The irregular chiasm C-roughest locus of Drosophila, which affects axonal projections and programmed cell death, encodes a novel immunoglobulin-like protein.. Genes & Development. 7(12b). 2533–2547. 152 indexed citations

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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