Timur Mackens‐Kiani

1.4k total citations · 1 hit paper
7 papers, 773 citations indexed

About

Timur Mackens‐Kiani is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Timur Mackens‐Kiani has authored 7 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Immunology. Recurrent topics in Timur Mackens‐Kiani's work include RNA modifications and cancer (5 papers), RNA and protein synthesis mechanisms (5 papers) and RNA Research and Splicing (3 papers). Timur Mackens‐Kiani is often cited by papers focused on RNA modifications and cancer (5 papers), RNA and protein synthesis mechanisms (5 papers) and RNA Research and Splicing (3 papers). Timur Mackens‐Kiani collaborates with scholars based in Germany, United States and Singapore. Timur Mackens‐Kiani's co-authors include Roland Beckmann, Otto Berninghausen, Thomas Becker, Hanna Kratzat, Jingdong Cheng, Robert Buschauer, Michael Ameismeier, Thomas Fröhlich, Christina M. Stürzel and Lennart Koepke and has published in prestigious journals such as Science, The EMBO Journal and Immunity.

In The Last Decade

Timur Mackens‐Kiani

7 papers receiving 767 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.

Structural basis for translational shutdown and immune evasion by the Nsp1 protein of SARS-CoV-2

2020 549 citations Matthias Thoms, Robert Buschauer et al. Science profile →

Peers

Timur Mackens‐Kiani

ID

MB

IMMUN

CCM

NEURO

Michael Ameismeier Germany

Timo Denk Germany

Orel Mizrahi Israel

Manuel Hayn Germany

Maximilian Hirschenberger Germany

Alain Scaiola Switzerland

Vinícius Cardoso Soares Brazil

Ruiyi Ma China

Yue Ma‐Lauer Germany

Oded Danziger Israel

Michael Ameismeier Germany

Timur Mackens‐Kiani

408 ×1.0

ID

471 ×1.2

MB

131 ×0.8

IMMUN

76 ×0.9

CCM

62 ×1.0

NEURO

Citations per year, relative to Timur Mackens‐Kiani Timur Mackens‐Kiani (= 1×) peers Michael Ameismeier

Countries citing papers authored by Timur Mackens‐Kiani

Since Specialization

Citations

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

Fields of papers citing papers by Timur Mackens‐Kiani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timur Mackens‐Kiani. 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 Timur Mackens‐Kiani. The network helps show where Timur Mackens‐Kiani may publish in the future.

Co-authorship network of co-authors of Timur Mackens‐Kiani

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

All Works

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7 of 7 papers shown

1.

Mackens‐Kiani, Timur, A. Maxwell Burroughs, Otto Berninghausen, et al.. (2023). B. subtilis MutS2 splits stalled ribosomes into subunits without mRNA cleavage. The EMBO Journal. 43(4). 484–506. 9 indexed citations

2.

Mackens‐Kiani, Timur, et al.. (2023). The dynamic architecture of Map1- and NatB-ribosome complexes coordinates the sequential modifications of nascent polypeptide chains. PLoS Biology. 21(4). e3001995–e3001995. 14 indexed citations

3.

Zhao, Shubo, Timur Mackens‐Kiani, Niladri K. Sinha, et al.. (2023). RNF14-dependent atypical ubiquitylation promotes translation-coupled resolution of RNA-protein crosslinks. Molecular Cell. 83(23). 4290–4303.e9. 22 indexed citations

4.

Schmacke, Niklas A., Moritz M. Gaidt, Jonathan L. Schmid‐Burgk, et al.. (2022). IKKβ primes inflammasome formation by recruiting NLRP3 to the trans-Golgi network. Immunity. 55(12). 2271–2284.e7. 72 indexed citations

5.

Kratzat, Hanna, Timur Mackens‐Kiani, Michael Ameismeier, et al.. (2020). A structural inventory of native ribosomal ABCE1‐43S pre‐initiation complexes. The EMBO Journal. 40(1). e105179–e105179. 39 indexed citations

6.

Thoms, Matthias, Robert Buschauer, Michael Ameismeier, et al.. (2020). Structural basis for translational shutdown and immune evasion by the Nsp1 protein of SARS-CoV-2. Science. 369(6508). 1249–1255. 549 indexed citations breakdown →

7.

Buschauer, Robert, Timur Mackens‐Kiani, Hanna Kratzat, et al.. (2020). Structure and function of yeast Lso2 and human CCDC124 bound to hibernating ribosomes. PLoS Biology. 18(7). e3000780–e3000780. 68 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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