Marko Knoll

876 total citations
10 papers, 613 citations indexed

About

Marko Knoll is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Marko Knoll has authored 10 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Physiology. Recurrent topics in Marko Knoll's work include Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (3 papers) and RNA Research and Splicing (3 papers). Marko Knoll is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (3 papers) and RNA Research and Splicing (3 papers). Marko Knoll collaborates with scholars based in United States, Germany and Singapore. Marko Knoll's co-authors include Harvey F. Lodish, Lei Sun, Juan R. Alvarez‐Dominguez, Yen Ching Lim, Zhiqiang Bai, Dan Xu, Nikolai Slavov, Kinyui Alice Lo, Peng Chen and Myeong Jin Yoon and has published in prestigious journals such as Nature Communications, Blood and The Journal of Immunology.

In The Last Decade

Marko Knoll

10 papers receiving 611 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marko Knoll United States 10 369 345 119 97 68 10 613
Thomas Hackenbeck Germany 11 271 0.7× 231 0.7× 52 0.4× 27 0.3× 35 0.5× 12 463
Sivareddy Kotla United States 13 234 0.6× 63 0.2× 54 0.5× 133 1.4× 47 0.7× 29 459
Xingyu Zhou China 13 411 1.1× 279 0.8× 69 0.6× 26 0.3× 46 0.7× 29 552
Nicola Miller Ireland 11 515 1.4× 399 1.2× 53 0.4× 26 0.3× 55 0.8× 17 710
Mingsen Li China 13 220 0.6× 85 0.2× 49 0.4× 25 0.3× 57 0.8× 30 422
Guy Wayne Novotny Denmark 14 326 0.9× 245 0.7× 39 0.3× 32 0.3× 38 0.6× 26 528
Truong Lam United States 9 206 0.6× 58 0.2× 42 0.4× 35 0.4× 51 0.8× 16 390
Jianxu Chen China 11 178 0.5× 158 0.5× 44 0.4× 34 0.4× 112 1.6× 15 384
Joan Duran Spain 8 232 0.6× 188 0.5× 42 0.4× 45 0.5× 23 0.3× 11 360
E Raskopf Germany 16 297 0.8× 153 0.4× 100 0.8× 66 0.7× 95 1.4× 40 636

Countries citing papers authored by Marko Knoll

Since Specialization
Citations

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

Fields of papers citing papers by Marko Knoll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marko Knoll

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

All Works

10 of 10 papers shown
1.
Alvarez‐Dominguez, Juan R., Sally Winther, Jacob B. Hansen, Harvey F. Lodish, & Marko Knoll. (2021). An adipose lncRAP2-Igf2bp2 complex enhances adipogenesis and energy expenditure by stabilizing target mRNAs. iScience. 25(1). 103680–103680. 17 indexed citations
2.
Petkau, Georg, Yohei Kawano, Ingrid Wolf, Marko Knoll, & Fritz Melchers. (2018). MiR221 promotes precursor B‐cell retention in the bone marrow by amplifying the PI3K‐signaling pathway in mice. European Journal of Immunology. 48(6). 975–989. 9 indexed citations
3.
Alvarez‐Dominguez, Juan R., et al.. (2017). The Super-Enhancer-Derived alncRNA-EC7/Bloodlinc Potentiates Red Blood Cell Development in trans. Cell Reports. 19(12). 2503–2514. 77 indexed citations
4.
Knoll, Marko, Sally Winther, Anirudh Natarajan, et al.. (2017). SYK kinase mediates brown fat differentiation and activation. Nature Communications. 8(1). 2115–2115. 10 indexed citations
5.
Ingram, Jessica R., Michael Dougan, Mohammad Rashidian, et al.. (2017). PD-L1 is an activation-independent marker of brown adipocytes. Nature Communications. 8(1). 647–647. 102 indexed citations
6.
Alvarez‐Dominguez, Juan R., Zhiqiang Bai, Dan Xu, et al.. (2015). De Novo Reconstruction of Adipose Tissue Transcriptomes Reveals Long Non-coding RNA Regulators of Brown Adipocyte Development. Cell Metabolism. 21(5). 764–776. 167 indexed citations
7.
Knoll, Marko, Harvey F. Lodish, & Lei Sun. (2015). Long non-coding RNAs as regulators of the endocrine system. Nature Reviews Endocrinology. 11(3). 151–160. 175 indexed citations
8.
Knoll, Marko, et al.. (2013). miR‐221 redirects precursor B cells to the BM and regulates their residence. European Journal of Immunology. 43(9). 2497–2506. 16 indexed citations
9.
Simmons, Szandor, Marko Knoll, Christopher Drewell, et al.. (2012). Biphenotypic B-lymphoid/myeloid cells expressing low levels of Pax5: potential targets of BAL development. Blood. 120(18). 3688–3698. 28 indexed citations
10.
Knoll, Marko, Szandor Simmons, Niklas Engels, et al.. (2012). The Non-Ig Parts of the VpreB and λ5 Proteins of the Surrogate Light Chain Play Opposite Roles in the Surface Representation of the Precursor B Cell Receptor. The Journal of Immunology. 188(12). 6010–6017. 12 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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