Mathias Jenal

1.5k total citations
9 papers, 638 citations indexed

About

Mathias Jenal is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Mathias Jenal has authored 9 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Hematology and 2 papers in Oncology. Recurrent topics in Mathias Jenal's work include Cancer-related gene regulation (4 papers), RNA modifications and cancer (3 papers) and Acute Myeloid Leukemia Research (2 papers). Mathias Jenal is often cited by papers focused on Cancer-related gene regulation (4 papers), RNA modifications and cancer (3 papers) and Acute Myeloid Leukemia Research (2 papers). Mathias Jenal collaborates with scholars based in Switzerland, United States and Netherlands. Mathias Jenal's co-authors include Gijs van Haaften, Ran Elkon, Jarno Drost, Reuven Agami, David C. Rubinsztein, Joachim A.F. Oude Vrielink, Mario P. Tschan, Fabricio Loayza‐Puch, Fiona M. Menzies and Uwe Kühn and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Blood.

In The Last Decade

Mathias Jenal

9 papers receiving 636 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mathias Jenal Switzerland	9	518	77	75	73	70	9	638
Peter Haviernik United States	13	297 0.6×	79 1.0×	88 1.2×	93 1.3×	89 1.3×	25	441
Luipa Khandker United States	7	419 0.8×	44 0.6×	78 1.0×	54 0.7×	169 2.4×	9	547
Jeevisha Bajaj United States	10	305 0.6×	116 1.5×	129 1.7×	62 0.8×	64 0.9×	20	463
Martin Komosa Canada	9	302 0.6×	55 0.7×	62 0.8×	46 0.6×	82 1.2×	10	410
Borko Tanasijevic Canada	14	500 1.0×	55 0.7×	65 0.9×	40 0.5×	113 1.6×	17	599
Chris van Oevelen Spain	10	630 1.2×	56 0.7×	74 1.0×	70 1.0×	32 0.5×	10	716
Patrick A. Ozark United States	13	619 1.2×	66 0.9×	65 0.9×	62 0.8×	73 1.0×	15	754
Ji Yoo Kim Japan	9	321 0.6×	32 0.4×	37 0.5×	88 1.2×	74 1.1×	13	446
Jay F. Sarthy United States	10	433 0.8×	59 0.8×	44 0.6×	32 0.4×	33 0.5×	24	531
Ching-Man Virbasius United States	8	593 1.1×	100 1.3×	106 1.4×	88 1.2×	51 0.7×	9	711

Countries citing papers authored by Mathias Jenal

Since Specialization

Citations

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

Fields of papers citing papers by Mathias Jenal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathias Jenal

This figure shows the co-authorship network connecting the top 25 collaborators of Mathias Jenal. A scholar is included among the top collaborators of Mathias Jenal 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 Mathias Jenal. Mathias Jenal 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

Jenal, Mathias, Ran Elkon, Fabricio Loayza‐Puch, et al.. (2012). The Poly(A)-Binding Protein Nuclear 1 Suppresses Alternative Cleavage and Polyadenylation Sites. Cell. 149(3). 538–553. 271 indexed citations

Elkon, Ran, Jarno Drost, Gijs van Haaften, et al.. (2012). E2F mediates enhanced alternative polyadenylation in proliferation. Genome biology. 13(7). R59–R59. 122 indexed citations

Jenal, Mathias, Christian Britschgi, MF Fey, & Mario P. Tschan. (2010). Inactivation of the hypermethylated in cancer 1 tumour suppressor – not just a question of promoter hypermethylation?. Swiss Medical Weekly. 140(4344). w13106–w13106. 16 indexed citations

Batliner, Jasmin, Mathias Jenal, Venkateshwar A. Reddy, et al.. (2010). CLEC5A (MDL-1) is a novel PU.1 transcriptional target during myeloid differentiation. Molecular Immunology. 48(4). 714–719. 29 indexed citations

Rechem, Capucine Van, Brian R. Rood, Sébastien Pinte, et al.. (2009). Scavenger Chemokine (CXC Motif) Receptor 7 (CXCR7) Is a Direct Target Gene of HIC1 (Hypermethylated in Cancer 1). Journal of Biological Chemistry. 284(31). 20927–20935. 66 indexed citations

Jenal, Mathias, Emmanuelle Trinh, Christian Britschgi, et al.. (2009). The Tumor Suppressor Gene Hypermethylated in Cancer 1 Is Transcriptionally Regulated by E2F1. Molecular Cancer Research. 7(6). 916–922. 24 indexed citations

Britschgi, Adrian, Emmanuelle Trinh, Mattia Rizzi, et al.. (2008). DAPK2 is a novel E2F1/KLF6 target gene involved in their proapoptotic function. Oncogene. 27(43). 5706–5716. 35 indexed citations

Britschgi, Christian, Mathias Jenal, Mattia Rizzi, et al.. (2008). HIC1 tumour suppressor gene is suppressed in acute myeloid leukaemia and induced during granulocytic differentiation. British Journal of Haematology. 141(2). 179–187. 28 indexed citations

Schrezenmeier, Hubert, Mathias Jenal, F. Herrmann, H. Heimpel, & Aruna Raghavachar. (1996). Quantitative analysis of cobblestone area-forming cells in bone marrow of patients with aplastic anemia by limiting dilution assay. Blood. 88(12). 4474–4480. 47 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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