Niklas Rindtorff

3.8k total citations · 2 hit papers
6 papers, 2.6k citations indexed

About

Niklas Rindtorff is a scholar working on Molecular Biology, Oncology and Hepatology. According to data from OpenAlex, Niklas Rindtorff has authored 6 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Hepatology. Recurrent topics in Niklas Rindtorff's work include Cancer Cells and Metastasis (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Liver physiology and pathology (2 papers). Niklas Rindtorff is often cited by papers focused on Cancer Cells and Metastasis (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Liver physiology and pathology (2 papers). Niklas Rindtorff collaborates with scholars based in Germany and United States. Niklas Rindtorff's co-authors include Tianzuo Zhan, Michael Boutros, Amelie Echle, Tom Luedde, Titus J. Brinker, Jakob Nikolas Kather, Alexander T. Pearson, Matthias Ebert, Johannes Betge and Karin Müller‐Decker and has published in prestigious journals such as Nature Communications, Oncogene and British Journal of Cancer.

In The Last Decade

Niklas Rindtorff

6 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Wnt signaling in cancer

2016 1.9k citations Tianzuo Zhan, Niklas Rindtorff et al. Oncogene profile →
Deep learning in cancer pathology: a new generation of clinical biomarkers

2020 362 citations Amelie Echle, Niklas Rindtorff et al. British Journal of Cancer profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Niklas Rindtorff Germany	5	1.8k	725	564	231	224	6	2.6k
Michael Khan United Kingdom	24	2.0k 1.1×	796 1.1×	493 0.9×	168 0.7×	175 0.8×	62	3.4k
Muyan Cai China	30	1.7k 1.0×	883 1.2×	892 1.6×	547 2.4×	272 1.2×	121	3.3k
Guanzhen Yu China	27	1.5k 0.9×	532 0.7×	763 1.4×	341 1.5×	147 0.7×	81	2.3k
Stella Pelengaris United Kingdom	20	1.9k 1.1×	812 1.1×	412 0.7×	136 0.6×	129 0.6×	37	2.9k
Chi‐Long Chen Taiwan	32	1.3k 0.7×	910 1.3×	680 1.2×	389 1.7×	155 0.7×	106	2.9k
Kristine Kleivi Sahlberg Norway	26	1.8k 1.0×	700 1.0×	1.5k 2.6×	237 1.0×	162 0.7×	60	2.7k
Laura Annaratone Italy	27	1.1k 0.6×	688 0.9×	787 1.4×	269 1.2×	233 1.0×	68	2.2k
Lisha Qi China	28	1.4k 0.8×	585 0.8×	893 1.6×	415 1.8×	221 1.0×	71	2.4k
Yong Wan China	30	1.7k 1.0×	439 0.6×	636 1.1×	180 0.8×	116 0.5×	74	2.6k
Maurizio Di Bonito Italy	26	870 0.5×	794 1.1×	736 1.3×	272 1.2×	372 1.7×	82	2.0k

Countries citing papers authored by Niklas Rindtorff

Since Specialization

Citations

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

Fields of papers citing papers by Niklas Rindtorff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niklas Rindtorff

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Heigwer, Florian, Johannes Betge, Niklas Rindtorff, et al.. (2022). Targeting euchromatic histone lysine methyltransferases sensitizes colorectal cancer to histone deacetylase inhibitors. International Journal of Cancer. 151(9). 1586–1601. 9 indexed citations

2.

Echle, Amelie, Niklas Rindtorff, Titus J. Brinker, et al.. (2020). Deep learning in cancer pathology: a new generation of clinical biomarkers. British Journal of Cancer. 124(4). 686–696. 362 indexed citations breakdown →

3.

Zhan, Tianzuo, Giulia Ambrosi, Benedikt Rauscher, et al.. (2019). MEK inhibitors activate Wnt signalling and induce stem cell plasticity in colorectal cancer. Nature Communications. 10(1). 2197–2197. 127 indexed citations

4.

Zhan, Tianzuo, Giulia Ambrosi, Benedikt Rauscher, et al.. (2019). MEK inhibitors activate Wnt signalling and induce stem cell plasticity in colorectal cancer. Zeitschrift für Gastroenterologie. 1 indexed citations

5.

Zhan, Tianzuo, Niklas Rindtorff, Johannes Betge, Matthias Ebert, & Michael Boutros. (2018). CRISPR/Cas9 for cancer research and therapy. Seminars in Cancer Biology. 55. 106–119. 234 indexed citations

6.

Zhan, Tianzuo, Niklas Rindtorff, & Michael Boutros. (2016). Wnt signaling in cancer. Oncogene. 36(11). 1461–1473. 1885 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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