Jan Buschmann

2.2k total citations · 1 hit paper
11 papers, 1.9k citations indexed

About

Jan Buschmann is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Jan Buschmann has authored 11 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Jan Buschmann's work include Cytokine Signaling Pathways and Interactions (4 papers), Immune Response and Inflammation (3 papers) and Immune Cell Function and Interaction (3 papers). Jan Buschmann is often cited by papers focused on Cytokine Signaling Pathways and Interactions (4 papers), Immune Response and Inflammation (3 papers) and Immune Cell Function and Interaction (3 papers). Jan Buschmann collaborates with scholars based in Germany, United States and Canada. Jan Buschmann's co-authors include Ursula Maria Wegenka, Claudia Lütticken, Friedemann Horn, Peter C. Heinrich, Juping Yuan, Chris Schindler, Sandra Pellegrini, Andrew F. Wilks, Ailsa G. Harpur and Andrew Ziemiecki and has published in prestigious journals such as Science, Molecular and Cellular Biology and Annals of the New York Academy of Sciences.

In The Last Decade

Jan Buschmann

11 papers receiving 1.9k citations

Hit Papers

Association of Transcription Factor APRF and Protein Kina... 1994 2026 2004 2015 1994 200 400 600
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.

  1. Association of Transcription Factor APRF and Protein Kinase Jak1 with the Interleukin-6 Signal Transducer gp130
    1994 695 citations Claudia Lütticken, Ursula Maria Wegenka et al. Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Buschmann Germany 10 1.3k 783 776 350 194 11 1.9k
Ursula Maria Wegenka Germany 16 1.5k 1.1× 899 1.1× 1.0k 1.3× 388 1.1× 218 1.1× 19 2.2k
Claudia Lütticken Germany 12 1.5k 1.2× 878 1.1× 896 1.2× 398 1.1× 225 1.2× 13 2.1k
Mariko Takahashi-Tezuka Japan 7 850 0.6× 803 1.0× 655 0.8× 243 0.7× 126 0.6× 8 1.5k
Ritsu Suzuki Japan 9 1.4k 1.0× 599 0.8× 942 1.2× 227 0.6× 356 1.8× 9 1.9k
Catriona McKay United States 7 1.8k 1.4× 1.0k 1.3× 1.3k 1.7× 464 1.3× 302 1.6× 7 2.9k
Deepa Hammaker United States 27 440 0.3× 871 1.1× 534 0.7× 419 1.2× 66 0.3× 39 1.9k
Ling-Mei Wang United States 18 592 0.4× 962 1.2× 487 0.6× 219 0.6× 69 0.4× 32 1.8k
Cheh Peng Lim Singapore 10 658 0.5× 635 0.8× 330 0.4× 164 0.5× 57 0.3× 11 1.3k
Patrizia Piccioli Italy 20 550 0.4× 457 0.6× 579 0.7× 191 0.5× 34 0.2× 39 1.4k
Sandra Mifsud Australia 19 478 0.4× 628 0.8× 713 0.9× 142 0.4× 93 0.5× 39 1.7k

Countries citing papers authored by Jan Buschmann

Since Specialization
Citations

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

Fields of papers citing papers by Jan Buschmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Buschmann

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

All Works

11 of 11 papers shown
1.
Buschmann, Jan, et al.. (2016). Project Schedule Assessment with a Focus on Different Input Weather Data Sources. Energy Procedia. 94. 517–522. 3 indexed citations
2.
Buschmann, Jan, Katharina Berger, Hamdy Awad, et al.. (2012). Inflammatory Response and Chemokine Expression in the White Matter Corpus Callosum and Gray Matter Cortex Region During Cuprizone-Induced Demyelination. Journal of Molecular Neuroscience. 48(1). 66–76. 104 indexed citations
3.
Clarner, Tim, Jan Buschmann, Cordian Beyer, & Markus Kipp. (2010). Glial Amyloid Precursor Protein Expression is Restricted to Astrocytes in an Experimental Toxic Model of Multiple Sclerosis. Journal of Molecular Neuroscience. 43(3). 268–274. 23 indexed citations
4.
Wegenka, Ursula Maria, Claudia Lütticken, Jan Buschmann, et al.. (1994). The Interleukin-6-Activated Acute-Phase Response Factor Is Antigenically and Functionally Related to Members of the Signal Transducer and Activator of Transcription (STAT) Family. Molecular and Cellular Biology. 14(5). 3186–3196. 61 indexed citations
5.
Yuan, Juping, Ursula Maria Wegenka, Claudia Lütticken, et al.. (1994). The Signalling Pathways of Interleukin-6 and Gamma Interferon Converge by the Activation of Different Transcription Factors Which Bind to Common Responsive DNA Elements. Molecular and Cellular Biology. 14(3). 1657–1668. 48 indexed citations
6.
Lütticken, Claudia, Ursula Maria Wegenka, Juping Yuan, et al.. (1994). Association of Transcription Factor APRF and Protein Kinase Jak1 with the Interleukin-6 Signal Transducer gp130. Science. 263(5143). 89–92. 695 indexed citations breakdown →
7.
Wegenka, Ursula Maria, Claudia Lütticken, Jan Buschmann, et al.. (1994). The interleukin-6-activated acute-phase response factor is antigenically and functionally related to members of the signal transducer and activator of transcription (STAT) family.. Molecular and Cellular Biology. 14(5). 3186–3196. 216 indexed citations
8.
Horn, Friedemann, Ursula Maria Wegenka, Claudia Lütticken, et al.. (1994). Regulation of α2‐Macroglobulin Gene Expression by Interleukin‐6a. Annals of the New York Academy of Sciences. 737(1). 308–323. 10 indexed citations
9.
Yuan, Juping, Ursula Maria Wegenka, Claudia Lütticken, et al.. (1994). The signalling pathways of interleukin-6 and gamma interferon converge by the activation of different transcription factors which bind to common responsive DNA elements.. Molecular and Cellular Biology. 14(3). 1657–1668. 165 indexed citations
10.
Wegenka, Ursula Maria, Jan Buschmann, Claudia Lütticken, Peter C. Heinrich, & Friedemann Horn. (1993). Acute-Phase Response Factor, a Nuclear Factor Binding to Acute-Phase Response Elements, is Rapidly Activated by Interleukin-6 at the Posttranslational Level. Molecular and Cellular Biology. 13(1). 276–288. 128 indexed citations
11.
Wegenka, Ursula Maria, Jan Buschmann, Claudia Lütticken, Peter C. Heinrich, & Friedemann Horn. (1993). Acute-phase response factor, a nuclear factor binding to acute-phase response elements, is rapidly activated by interleukin-6 at the posttranslational level.. Molecular and Cellular Biology. 13(1). 276–288. 483 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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