Jens Kalchschmidt

618 total citations
8 papers, 255 citations indexed

About

Jens Kalchschmidt is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Jens Kalchschmidt has authored 8 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Jens Kalchschmidt's work include Viral-associated cancers and disorders (5 papers), RNA and protein synthesis mechanisms (2 papers) and Immune Cell Function and Interaction (2 papers). Jens Kalchschmidt is often cited by papers focused on Viral-associated cancers and disorders (5 papers), RNA and protein synthesis mechanisms (2 papers) and Immune Cell Function and Interaction (2 papers). Jens Kalchschmidt collaborates with scholars based in United Kingdom, United States and Germany. Jens Kalchschmidt's co-authors include Martin J. Allday, Kostas Paschos, Quentin Bazot, Paul Kellam, Rachael Bashford-Rogers, Christine T. Styles, Lenka Skalska, Gillian A. Parker, Natalie Young and Ingo Roeder and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Blood.

In The Last Decade

Jens Kalchschmidt

8 papers receiving 253 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jens Kalchschmidt 141 95 80 58 58 8 255
Richard D. Palermo 202 1.4× 65 0.7× 131 1.6× 88 1.5× 75 1.3× 9 318
Maximilian Hastreiter 195 1.4× 105 1.1× 129 1.6× 57 1.0× 46 0.8× 9 318
Stephanie Pei Tung Yiu 122 0.9× 55 0.6× 73 0.9× 42 0.7× 68 1.2× 9 194
Kaoru Takasaki 132 0.9× 169 1.8× 171 2.1× 62 1.1× 56 1.0× 14 403
Yasuyuki Onimaru 69 0.5× 185 1.9× 85 1.1× 69 1.2× 34 0.6× 9 339
Alexander Buschle 244 1.7× 117 1.2× 119 1.5× 91 1.6× 110 1.9× 8 370
Elisenda Alari‐Pahissa 69 0.5× 198 2.1× 49 0.6× 41 0.7× 59 1.0× 21 285
Nina Poliak 123 0.9× 122 1.3× 191 2.4× 12 0.2× 52 0.9× 7 358
Shannon Grande 141 1.0× 178 1.9× 79 1.0× 20 0.3× 42 0.7× 12 301
Christopher M. Yan 175 1.2× 71 0.7× 173 2.2× 49 0.8× 101 1.7× 9 348

Countries citing papers authored by Jens Kalchschmidt

Since Specialization
Citations

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

Fields of papers citing papers by Jens Kalchschmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jens Kalchschmidt

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

All Works

8 of 8 papers shown
1.
Zhao, Haiyan, Yufei Xiang, Sohail Malik, et al.. (2024). An IDR-dependent mechanism for nuclear receptor control of Mediator interaction with RNA polymerase II. Molecular Cell. 84(14). 2648–2664.e10. 2 indexed citations
2.
Zhao, Haiyan, Natalie Young, Jens Kalchschmidt, et al.. (2021). Structure of mammalian Mediator complex reveals Tail module architecture and interaction with a conserved core. Nature Communications. 12(1). 1355–1355. 35 indexed citations
3.
Gujer, Cornelia, Anita Murer, Anne Müller, et al.. (2019). Plasmacytoid dendritic cells respond to Epstein-Barr virus infection with a distinct type I interferon subtype profile. Blood Advances. 3(7). 1129–1144. 30 indexed citations
4.
Murer, Anita, Donal McHugh, Nicole Caduff, et al.. (2018). EBV persistence without its EBNA3A and 3C oncogenes in vivo. PLoS Pathogens. 14(4). e1007039–e1007039. 28 indexed citations
5.
Kalchschmidt, Jens, et al.. (2016). EBNA3C Directs Recruitment of RBPJ (CBF1) to Chromatin during the Process of Gene Repression in EBV Infected B Cells. PLoS Pathogens. 12(1). e1005383–e1005383. 21 indexed citations
6.
Kalchschmidt, Jens, Rachael Bashford-Rogers, Kostas Paschos, et al.. (2016). Epstein-Barr virus nuclear protein EBNA3C directly induces expression of AID and somatic mutations in B cells. The Journal of Experimental Medicine. 213(6). 921–928. 55 indexed citations
7.
Bazot, Quentin, Kostas Paschos, Lenka Skalska, et al.. (2015). Epstein-Barr Virus Proteins EBNA3A and EBNA3C Together Induce Expression of the Oncogenic MicroRNA Cluster miR-221/miR-222 and Ablate Expression of Its Target p57KIP2. PLoS Pathogens. 11(7). e1005031–e1005031. 37 indexed citations
8.
Rashidi, Narges, Mark Scott, Nico Scherf, et al.. (2014). In vivo time-lapse imaging shows diverse niche engagement by quiescent and naturally activated hematopoietic stem cells. Blood. 124(1). 79–83. 47 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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