Nils Grabole

1.2k total citations
9 papers, 846 citations indexed

About

Nils Grabole is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Nils Grabole has authored 9 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Nils Grabole's work include Pluripotent Stem Cells Research (5 papers), CRISPR and Genetic Engineering (3 papers) and Renal and related cancers (3 papers). Nils Grabole is often cited by papers focused on Pluripotent Stem Cells Research (5 papers), CRISPR and Genetic Engineering (3 papers) and Renal and related cancers (3 papers). Nils Grabole collaborates with scholars based in United Kingdom, Switzerland and United States. Nils Grabole's co-authors include M. Azim Surani, Harry G. Leitch, W Mansfield, Erna Magnúsdóttir, Petra Hájková, Jaysen Knezovich, Kirsten R. McEwen, Vesela Encheva, Buhe Nashun and Austin Smith and has published in prestigious journals such as Blood, Development and Cell stem cell.

In The Last Decade

Nils Grabole

9 papers receiving 835 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nils Grabole United Kingdom 7 790 157 78 55 40 9 846
Gloryn Chia United States 10 612 0.8× 107 0.7× 99 1.3× 29 0.5× 61 1.5× 14 695
Hsin-Kai Liao United States 8 484 0.6× 62 0.4× 84 1.1× 59 1.1× 72 1.8× 8 583
Erica C. Jonlin United States 7 471 0.6× 96 0.6× 26 0.3× 64 1.2× 45 1.1× 15 538
Yaoyong Chen China 13 432 0.5× 98 0.6× 29 0.4× 28 0.5× 28 0.7× 22 521
Amanda J. Collier United Kingdom 13 689 0.9× 162 1.0× 41 0.5× 47 0.9× 30 0.8× 14 745
Mila Roode United Kingdom 4 990 1.3× 140 0.9× 185 2.4× 127 2.3× 95 2.4× 4 1.0k
John P. Schell Sweden 10 708 0.9× 100 0.6× 80 1.0× 49 0.9× 40 1.0× 11 755
Man Tong China 8 655 0.8× 105 0.7× 88 1.1× 83 1.5× 81 2.0× 14 743
Jens Durruthy-Durruthy United States 9 485 0.6× 100 0.6× 65 0.8× 43 0.8× 37 0.9× 9 562
Leila Christie United Kingdom 8 634 0.8× 89 0.6× 139 1.8× 54 1.0× 59 1.5× 12 714

Countries citing papers authored by Nils Grabole

Since Specialization
Citations

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

Fields of papers citing papers by Nils Grabole

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nils Grabole

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

All Works

9 of 9 papers shown
1.
Bröske, Ann-Marie E, Ian James, Anton Belousov, et al.. (2019). CD20-TCB, a Novel T-Cell-Engaging Bispecific Antibody, Induces T-Cell-Mediated Killing in Relapsed or Refractory Non-Hodgkin Lymphoma: Biomarker Results From a Phase I Dose-Escalation Trial. Blood. 134(Supplement_1). 5319–5319. 5 indexed citations
2.
Schmucki, Roland, Ben Loos, Nils Grabole, et al.. (2018). The genomic organization and expression pattern of the low-affinity Fc gamma receptors (FcγR) in the Göttingen minipig. Immunogenetics. 71(2). 123–136. 7 indexed citations
3.
Grabole, Nils, Jitao David Zhang, Stefan Aigner, et al.. (2016). Genomic analysis of the molecular neuropathology of tuberous sclerosis using a human stem cell model. Genome Medicine. 8(1). 94–94. 37 indexed citations
4.
Grabole, Nils, et al.. (2016). Prdm14promotesgermline fate andnaivepluripotency by repressing FGF signalling and DNA methylation. 6 indexed citations
5.
Chia, Gloryn, Silvia Muñoz‐Descalzo, Agata Kurowski, et al.. (2014). Oct4 is required for lineage priming in the developing inner cell mass of the mouse blastocyst. Development. 141(5). 1001–1010. 138 indexed citations
6.
Grabole, Nils, Julia Tischler, Jamie A. Hackett, et al.. (2013). Prdm14 promotes germline fate and naive pluripotency by repressing FGF signalling and DNA methylation. EMBO Reports. 14(7). 629–637. 128 indexed citations
7.
Leitch, Harry G., Kirsten R. McEwen, Vesela Encheva, et al.. (2013). Naive pluripotency is associated with global DNA hypomethylation. Nature Structural & Molecular Biology. 20(3). 311–316. 385 indexed citations
8.
Magnúsdóttir, Erna, Astrid Gillich, Nils Grabole, & M. Azim Surani. (2012). Combinatorial control of cell fate and reprogramming in the mammalian germline. Current Opinion in Genetics & Development. 22(5). 466–474. 30 indexed citations
9.
Gillich, Astrid, Siqin Bao, Nils Grabole, et al.. (2012). Epiblast Stem Cell-Based System Reveals Reprogramming Synergy of Germline Factors. Cell stem cell. 10(4). 425–439. 110 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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