Paul Baran

711 total citations
9 papers, 568 citations indexed

About

Paul Baran is a scholar working on Oncology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Paul Baran has authored 9 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 8 papers in Immunology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Paul Baran's work include Cytokine Signaling Pathways and Interactions (7 papers), Toxin Mechanisms and Immunotoxins (2 papers) and CAR-T cell therapy research (2 papers). Paul Baran is often cited by papers focused on Cytokine Signaling Pathways and Interactions (7 papers), Toxin Mechanisms and Immunotoxins (2 papers) and CAR-T cell therapy research (2 papers). Paul Baran collaborates with scholars based in Germany, United Kingdom and Israel. Paul Baran's co-authors include Jürgen Scheller, Jens M. Moll, Christoph Garbers, Larissa Lamertz, Georg H. Waetzig, Doreen M. Floß, Joachim Grötzinger, Mohammad Reza Ahmadian, Mohammad Akbarzadeh and Heinrich J. Huber and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and ACS Nano.

In The Last Decade

Paul Baran

9 papers receiving 564 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Baran Germany 8 270 250 145 59 50 9 568
Asuka Inoue Japan 17 331 1.2× 147 0.6× 169 1.2× 67 1.1× 72 1.4× 41 691
Neele Schumacher Germany 14 259 1.0× 253 1.0× 193 1.3× 50 0.8× 39 0.8× 17 607
Daria Briukhovetska Germany 6 366 1.4× 273 1.1× 202 1.4× 40 0.7× 31 0.6× 6 674
Rami Lissilaa Switzerland 8 458 1.7× 286 1.1× 135 0.9× 78 1.3× 29 0.6× 10 724
Graeme O’Boyle United Kingdom 15 309 1.1× 271 1.1× 216 1.5× 88 1.5× 26 0.5× 21 684
Parisa Amjadi United Kingdom 13 482 1.8× 146 0.6× 160 1.1× 58 1.0× 33 0.7× 15 762
Janina Dörr Germany 2 263 1.0× 253 1.0× 177 1.2× 28 0.5× 27 0.5× 2 530
Martha Gschwandtner Austria 8 283 1.0× 163 0.7× 204 1.4× 67 1.1× 20 0.4× 13 693
Xiaojuan Wu China 17 181 0.7× 260 1.0× 229 1.6× 98 1.7× 18 0.4× 42 706
Shaobo Yang China 12 169 0.6× 161 0.6× 189 1.3× 62 1.1× 17 0.3× 36 574

Countries citing papers authored by Paul Baran

Since Specialization
Citations

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

Fields of papers citing papers by Paul Baran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Baran

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

All Works

9 of 9 papers shown
1.
Lamertz, Larissa, Robin Polz, Paul Baran, et al.. (2018). Soluble gp130 prevents interleukin-6 and interleukin-11 cluster signaling but not intracellular autocrine responses. Science Signaling. 11(550). 57 indexed citations
2.
Schneider, Artur, Manuel Franke, Haifeng C. Xu, et al.. (2018). Synthetic cytokine receptors transmit biological signals using artificial ligands. Nature Communications. 9(1). 2034–2034. 44 indexed citations
3.
Baran, Paul, Georg H. Waetzig, Mohammad Akbarzadeh, et al.. (2018). The balance of interleukin (IL)-6, IL-6·soluble IL-6 receptor (sIL-6R), and IL-6·sIL-6R·sgp130 complexes allows simultaneous classic and trans-signaling. Journal of Biological Chemistry. 293(18). 6762–6775. 173 indexed citations
4.
Temme, Sebastian, Paul Baran, Christoph Grapentin, et al.. (2018). Synthetic Cargo Internalization Receptor System for Nanoparticle Tracking of Individual Cell Populations by Fluorine Magnetic Resonance Imaging. ACS Nano. 12(11). 11178–11192. 18 indexed citations
5.
Moll, Jens M., Paul Baran, Christoph Garbers, et al.. (2017). Split2 Protein-Ligation Generates Active IL-6-Type Hyper-Cytokines from Inactive Precursors. ACS Synthetic Biology. 6(12). 2260–2272. 6 indexed citations
6.
Baran, Paul, et al.. (2014). Interleukin-6, but not the interleukin-6 receptor plays a role in recovery from dextran sodium sulfate-induced colitis. International Journal of Molecular Medicine. 34(3). 651–660. 46 indexed citations
7.
Garbers, Christoph, Niloufar Monhasery, Samadhi Aparicio-Siegmund, et al.. (2014). The interleukin-6 receptor Asp358Ala single nucleotide polymorphism rs2228145 confers increased proteolytic conversion rates by ADAM proteases. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1842(9). 1485–1494. 119 indexed citations
8.
Schröder, Jutta, Jens M. Moll, Paul Baran, et al.. (2014). Non-Canonical Interleukin 23 Receptor Complex Assembly. Journal of Biological Chemistry. 290(1). 359–370. 37 indexed citations
9.
Baran, Paul, et al.. (2013). Minimal Interleukin 6 (IL-6) Receptor Stalk Composition for IL-6 Receptor Shedding and IL-6 Classic Signaling. Journal of Biological Chemistry. 288(21). 14756–14768. 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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