Jürgen Groet

1.4k total citations
15 papers, 502 citations indexed

About

Jürgen Groet is a scholar working on Public Health, Environmental and Occupational Health, Hematology and Genetics. According to data from OpenAlex, Jürgen Groet has authored 15 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Public Health, Environmental and Occupational Health, 8 papers in Hematology and 5 papers in Genetics. Recurrent topics in Jürgen Groet's work include Acute Myeloid Leukemia Research (8 papers), Acute Lymphoblastic Leukemia research (6 papers) and Down syndrome and intellectual disability research (5 papers). Jürgen Groet is often cited by papers focused on Acute Myeloid Leukemia Research (8 papers), Acute Lymphoblastic Leukemia research (6 papers) and Down syndrome and intellectual disability research (5 papers). Jürgen Groet collaborates with scholars based in United Kingdom, Italy and Netherlands. Jürgen Groet's co-authors include Dean Nižetić, Giuseppe Basso, Franca Dagna‐Bricarelli, Claire Mulligan, Suzanne McElwaine, Mônica Glória Neumann Spínelli, Finbarr E. Cotter, Simona Cavani, Andrea Rinaldi and Afua A. Mensah and has published in prestigious journals such as The Lancet, Nature Communications and Nature reviews. Cancer.

In The Last Decade

Jürgen Groet

15 papers receiving 491 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jürgen Groet United Kingdom 12 243 215 213 98 63 15 502
Josef Davidsson Sweden 11 123 0.5× 122 0.6× 191 0.9× 165 1.7× 55 0.9× 16 442
Sarina Sulong Malaysia 10 102 0.4× 95 0.4× 157 0.7× 73 0.7× 63 1.0× 48 378
L. Alexander Liggett United States 7 79 0.3× 133 0.6× 193 0.9× 92 0.9× 26 0.4× 7 446
Bela Patel United States 15 72 0.3× 300 1.4× 484 2.3× 146 1.5× 21 0.3× 24 681
Arvind Dev United States 12 69 0.3× 246 1.1× 521 2.4× 156 1.6× 111 1.8× 20 763
WB Bias United States 9 277 1.1× 61 0.3× 134 0.6× 132 1.3× 120 1.9× 14 537
Fanyi Zeng China 13 110 0.5× 85 0.4× 356 1.7× 117 1.2× 158 2.5× 25 559
Paola Temperani Italy 11 172 0.7× 33 0.2× 109 0.5× 37 0.4× 137 2.2× 29 379
N Blais Canada 2 175 0.7× 20 0.1× 151 0.7× 127 1.3× 107 1.7× 4 384
Paolo Guanciali‐Franchi Italy 10 67 0.3× 54 0.3× 222 1.0× 144 1.5× 66 1.0× 24 443

Countries citing papers authored by Jürgen Groet

Since Specialization
Citations

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

Fields of papers citing papers by Jürgen Groet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jürgen Groet

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

All Works

15 of 15 papers shown
1.
Li, Zhenhua, Emanuela Giarin, Jürgen Groet, et al.. (2020). RAS-protein activation but not mutation status is an outcome predictor and unifying therapeutic target for high-risk acute lymphoblastic leukemia. Oncogene. 40(4). 746–762. 8 indexed citations
2.
Gough, Gillian, Niamh L. O’Brien, Pollyanna Goh, et al.. (2019). Modeling Down syndrome in cells: From stem cells to organoids. Progress in brain research. 251. 55–90. 14 indexed citations
3.
Strydom, André, Amanda Heslegrave, Carla M. Startin, et al.. (2018). Neurofilament light as a blood biomarker for neurodegeneration in Down syndrome. Alzheimer s Research & Therapy. 10(1). 39–39. 39 indexed citations
4.
Nikolaev, Sergey I., Marco Garieri, Federico Santoni, et al.. (2014). Frequent cases of RAS-mutated Down syndrome acute lymphoblastic leukaemia lack JAK2 mutations. Nature Communications. 5(1). 4654–4654. 38 indexed citations
5.
Nikolaev, Sergey I., Federico Santoni, Anne Vannier, et al.. (2013). Exome sequencing identifies putative drivers of progression of transient myeloproliferative disorder to AMKL in infants with Down syndrome. Blood. 122(4). 554–561. 54 indexed citations
6.
Nižetić, Dean & Jürgen Groet. (2012). Tumorigenesis in Down's syndrome: big lessons from a small chromosome. Nature reviews. Cancer. 12(10). 721–732. 77 indexed citations
7.
Canzonetta, Claudia, Alexander Hoischen, Emanuela Giarin, et al.. (2012). Amplified segment in the ‘Down Syndrome critical region’ on HSA21 shared between Down syndrome and euploid AML‐M0 excludes RUNX1, ERG and ETS2. British Journal of Haematology. 157(2). 197–200. 9 indexed citations
8.
Delom, Frédéric, Alexander Hoischen, Joris A. Veltman, et al.. (2009). Transchromosomic cell model of Down syndrome shows aberrant migration, adhesion and proteome response to extracellular matrix. Proteome Science. 7(1). 31–31. 14 indexed citations
9.
Wang, Yuqin, Claire Mulligan, Gareth Denyer, et al.. (2008). Quantitative Proteomics Characterization of a Mouse Embryonic Stem Cell Model of Down Syndrome. Molecular & Cellular Proteomics. 8(4). 585–595. 17 indexed citations
10.
Vita, Serena De, Claire Mulligan, Suzanne McElwaine, et al.. (2007). Loss‐of‐function JAK3 mutations in TMD and AMKL of Down syndrome. British Journal of Haematology. 137(4). 337–341. 37 indexed citations
11.
McElwaine, Suzanne, Claire Mulligan, Jürgen Groet, et al.. (2004). Microarray transcript profiling distinguishes the transient from the acute type of megakaryoblastic leukaemia (M7) in Down's syndrome, revealing PRAME as a specific discriminating marker. British Journal of Haematology. 125(6). 729–742. 48 indexed citations
12.
Groet, Jürgen, Suzanne McElwaine, Mônica Glória Neumann Spínelli, et al.. (2003). Acquired mutations in GATA1 in neonates with Down's syndrome with transient myeloid disorder. The Lancet. 361(9369). 1617–1620. 109 indexed citations
13.
Groet, Jürgen, Andrew P. South, Pedro V. Baptista, et al.. (1998). Bacterial Contig Map of the 21q11 Region Associated with Alzheimer’s Disease and Abnormal Myelopoiesis in Down Syndrome. Genome Research. 8(4). 385–398. 18 indexed citations
14.
Vidal, José, Salvador Bergoñón, Jürgen Groet, et al.. (1998). High Resolution Physical Mapping and Identification of Transcribed Sequences in the Down Syndrome Region-2. Biochemical and Biophysical Research Communications. 243(2). 572–578. 8 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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