Isabell Lang

530 total citations
29 papers, 393 citations indexed

About

Isabell Lang is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Isabell Lang has authored 29 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Immunology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Isabell Lang's work include Immunotherapy and Immune Responses (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and NF-κB Signaling Pathways (6 papers). Isabell Lang is often cited by papers focused on Immunotherapy and Immune Responses (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and NF-κB Signaling Pathways (6 papers). Isabell Lang collaborates with scholars based in Germany, Czechia and United States. Isabell Lang's co-authors include Harald Wajant, Daniela Siegmund, Viktoria Schäfer, Andrea Fick, Axel Seher, Steffen Salzmann, Andreas Beilhack, Manfred Neumann, Tina Giner and Martin Chopra and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Bioinformatics.

In The Last Decade

Isabell Lang

27 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isabell Lang Germany 12 211 173 97 77 40 29 393
Viktoria Schäfer Germany 11 177 0.8× 242 1.4× 70 0.7× 85 1.1× 40 1.0× 11 398
Monika Anand United States 13 225 1.1× 153 0.9× 94 1.0× 135 1.8× 53 1.3× 43 561
Águeda Martínez‐Barriocanal Spain 13 163 0.8× 210 1.2× 81 0.8× 91 1.2× 22 0.6× 20 437
Neetha Parameswaran United States 14 276 1.3× 189 1.1× 93 1.0× 225 2.9× 23 0.6× 23 562
Ashley Leubner United States 7 250 1.2× 207 1.2× 99 1.0× 253 3.3× 36 0.9× 8 552
Susanne Bryde Netherlands 7 196 0.9× 100 0.6× 27 0.3× 65 0.8× 39 1.0× 7 435
Katie E. Hebron United States 8 164 0.8× 118 0.7× 48 0.5× 97 1.3× 14 0.3× 12 348
Marko Roblek Germany 11 227 1.1× 213 1.2× 75 0.8× 223 2.9× 15 0.4× 17 524
Ted Duffy United States 7 232 1.1× 112 0.6× 69 0.7× 109 1.4× 15 0.4× 7 446
Katerina Gkirtzimanaki Greece 9 242 1.1× 195 1.1× 71 0.7× 96 1.2× 15 0.4× 11 481

Countries citing papers authored by Isabell Lang

Since Specialization
Citations

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

Fields of papers citing papers by Isabell Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabell Lang

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

All Works

20 of 20 papers shown
1.
Trossmann, Vanessa T., Aijia Cai, Isabell Lang, et al.. (2025). In Vivo Vascularization of Cell-Supplemented Spider Silk-Based Hydrogels in the Arteriovenous Loop Model. Biomimetics. 10(2). 117–117. 1 indexed citations
2.
Lang, Isabell, et al.. (2024). A Novel Tetravalent CD95/Fas Fusion Protein With Superior CD95L/FasL Antagonism. Proteins Structure Function and Bioinformatics. 93(2). 441–451. 1 indexed citations
3.
4.
Wajant, Harald, et al.. (2023). Basic characterization of antibodies targeting receptors of the tumor necrosis factor receptor superfamily. Frontiers in Immunology. 14. 1115667–1115667. 3 indexed citations
5.
Lang, Isabell, Juliane Medler, Tengyu Zhang, et al.. (2023). Generic design principles for antibody-based tumour necrosis factor (TNF) receptor 2 (TNFR2) agonists with FcγR-independent agonism. Theranostics. 14(2). 496–509. 1 indexed citations
6.
Włodarczyk, Agnieszka, Harald Wajant, Isabell Lang, et al.. (2023). Systemic treatment with a selective TNFR2 agonist alters the central and peripheral immune responses and transiently improves functional outcome after experimental ischemic stroke. Journal of Neuroimmunology. 385. 578246–578246. 3 indexed citations
7.
Hermanns, Heike M., et al.. (2023). Complement 1q/Tumor Necrosis Factor-Related Proteins (CTRPs): Structure, Receptors and Signaling. Biomedicines. 11(2). 559–559. 7 indexed citations
8.
Wagner, Jennifer K., Isabell Lang, Juliane Medler, et al.. (2022). A TNFR2-Specific TNF Fusion Protein With Improved In Vivo Activity. Frontiers in Immunology. 13. 888274–888274. 15 indexed citations
9.
Lang, Isabell, et al.. (2022). FcγRs and Their Relevance for the Activity of Anti-CD40 Antibodies. International Journal of Molecular Sciences. 23(21). 12869–12869. 3 indexed citations
10.
Lang, Isabell, et al.. (2021). Membrane lymphotoxin-α2β is a novel tumor necrosis factor (TNF) receptor 2 (TNFR2) agonist. Cell Death and Disease. 12(4). 360–360. 11 indexed citations
11.
Knoll, Gertrud, Isabell Lang, Daniela Siegmund, et al.. (2018). Hypertonicity-enforced BCL-2 addiction unleashes the cytotoxic potential of death receptors. Oncogene. 37(30). 4122–4136. 9 indexed citations
12.
13.
Lang, Isabell, et al.. (2017). Generation and Application of Bioluminescent CD95 Ligand Fusion Proteins. Methods in molecular biology. 1557. 63–77. 5 indexed citations
14.
Lang, Isabell, Markus Kapp, Andreas Beilhack, et al.. (2016). Targeting of the WT191–138 fragment to human dendritic cells improves leukemia-specific T-cell responses providing an alternative approach to WT1-based vaccination. Cancer Immunology Immunotherapy. 66(3). 319–332. 12 indexed citations
15.
Lang, Isabell, et al.. (2016). Binding Studies of TNF Receptor Superfamily (TNFRSF) Receptors on Intact Cells. Journal of Biological Chemistry. 291(10). 5022–5037. 50 indexed citations
16.
Seher, Axel, et al.. (2014). TNF Receptor-Associated Factor 1 is a Major Target of Soluble TWEAK. Frontiers in Immunology. 5. 63–63. 11 indexed citations
17.
Pachel, Christina, Barbara Bayer, Charlotte Dienesch, et al.. (2013). Exogenous Administration of a Recombinant Variant of TWEAK Impairs Healing after Myocardial Infarction by Aggravation of Inflammation. PLoS ONE. 8(11). e78938–e78938. 10 indexed citations
18.
Chopra, Martin, Isabell Lang, Steffen Salzmann, et al.. (2013). Tumor Necrosis Factor Induces Tumor Promoting and Anti-Tumoral Effects on Pancreatic Cancer via TNFR1. PLoS ONE. 8(9). e75737–e75737. 23 indexed citations
19.
Fick, Andrea, et al.. (2011). Studies of Binding of Tumor Necrosis Factor (TNF)-like Weak Inducer of Apoptosis (TWEAK) to Fibroblast Growth Factor Inducible 14 (Fn14). Journal of Biological Chemistry. 287(1). 484–495. 44 indexed citations
20.
Reipert, Birgit M., Peter Allacher, Christina Hausl, et al.. (2010). Modulation of factor VIII‐specific memory B cells. Haemophilia. 16(102). 25–34. 19 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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