Jonathan Back

1.3k total citations
32 papers, 1.0k citations indexed

About

Jonathan Back is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Oncology. According to data from OpenAlex, Jonathan Back has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Immunology and 12 papers in Oncology. Recurrent topics in Jonathan Back's work include Monoclonal and Polyclonal Antibodies Research (15 papers), T-cell and B-cell Immunology (10 papers) and CAR-T cell therapy research (7 papers). Jonathan Back is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (15 papers), T-cell and B-cell Immunology (10 papers) and CAR-T cell therapy research (7 papers). Jonathan Back collaborates with scholars based in Switzerland, United States and Germany. Jonathan Back's co-authors include Susan Chan, Philippe Kastner, Werner Held, Léonardo Scarpellino, Anick Chalifour, Andrée Dierich, David Allman, Yacine Salhi, Achim Leutz and Fabien Kuttler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Jonathan Back

31 papers receiving 992 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Back Switzerland 15 434 345 222 152 143 32 1.0k
Fiona Zhong United States 9 376 0.9× 309 0.9× 258 1.2× 22 0.1× 195 1.4× 13 908
Man-Ru Liu China 7 449 1.0× 292 0.8× 125 0.6× 34 0.2× 211 1.5× 7 1.1k
Chikako Fukasawa Japan 14 292 0.7× 179 0.5× 89 0.4× 42 0.3× 69 0.5× 21 689
Evan Der United States 12 491 1.1× 340 1.0× 102 0.5× 17 0.1× 175 1.2× 15 971
John L. Blount United States 10 532 1.2× 249 0.7× 98 0.4× 72 0.5× 20 0.1× 10 814
M Schena Italy 17 277 0.6× 245 0.7× 225 1.0× 114 0.8× 12 0.1× 34 893
Thomas Pap Switzerland 6 191 0.4× 246 0.7× 144 0.6× 64 0.4× 45 0.3× 7 689
Angelika M. Dräger Netherlands 13 261 0.6× 205 0.6× 178 0.8× 323 2.1× 11 0.1× 22 784
Hidenobu Kanda Japan 9 223 0.5× 454 1.3× 160 0.7× 30 0.2× 10 0.1× 10 859
T Tsukada Japan 14 187 0.4× 464 1.3× 327 1.5× 64 0.4× 8 0.1× 21 889

Countries citing papers authored by Jonathan Back

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Back

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Back

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Back. A scholar is included among the top collaborators of Jonathan Back 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 Jonathan Back. Jonathan Back 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.
Manni, Michela, Natália Rodrigues Mantuano, Andreas Zingg, et al.. (2023). Detection of N-glycolyl-neuraminic acid-containing glycolipids in human skin. Frontiers in Immunology. 14. 1291292–1291292. 4 indexed citations
2.
Guttman‐Yassky, Emma, Ana B. Pavel, Lisa Zhou, et al.. (2019). GBR 830, an anti-OX40, improves skin gene signatures and clinical scores in patients with atopic dermatitis. Journal of Allergy and Clinical Immunology. 144(2). 482–493.e7. 160 indexed citations
3.
Gudi, Girish, et al.. (2018). 1094 Clinical pharmacokinetics and immunogenicity of GBR 830, a first-in-class humanized monoclonal antibody inhibiting OX40 to treat atopic dermatitis. Journal of Investigative Dermatology. 138(5). S185–S185. 3 indexed citations
4.
Richter, Joshua, Ola Landgren, John Kauh, et al.. (2018). Phase 1, multicenter, open-label study of single-agent bispecific antibody t-cell engager GBR 1342 in relapsed/refractory multiple myeloma.. Journal of Clinical Oncology. 36(15_suppl). TPS3132–TPS3132. 19 indexed citations
5.
Monney, Thierry, et al.. (2018). 1099 GBR 830: An OX40 antagonist antibody with a favorable toxicity profile in non-human primates. Journal of Investigative Dermatology. 138(5). S186–S186. 1 indexed citations
6.
Guttman‐Yassky, Emma, Ana B. Pavel, Yeriel Estrada, et al.. (2018). 453 GBR 830 induces progressive and sustained changes in atopic dermatitis biomarkers in patient skin lesions. Journal of Investigative Dermatology. 138(5). S77–S77. 4 indexed citations
7.
Wermke, Martin, John Kauh, Jonathan Back, et al.. (2018). Preliminary biomarker and pharmacodynamic data from a phase I study of single-agent bispecific antibody T-cell engager GBR 1302 in subjects with HER2-positive cancers.. Journal of Clinical Oncology. 36(5_suppl). 69–69. 9 indexed citations
9.
Moretti, Pierre, et al.. (2016). A novel bispecific antibody for HER2+ breast cancer: The BEAT GBR 1302. 1 indexed citations
10.
Back, Jonathan, Hyun Ho Ryu, Ran Hong, et al.. (2015). Antiproteinuric Effects of Green Tea Extract on Tacrolimus-Induced Nephrotoxicity in Mice. Transplantation Proceedings. 47(6). 2032–2034. 14 indexed citations
11.
Nahimana, Aimable, et al.. (2014). A novel anti-CD19 monoclonal antibody (GBR 401) with high killing activity against B cell malignancies. Journal of Hematology & Oncology. 7(1). 33–33. 27 indexed citations
12.
Bessoles, Stéphanie, Georgi S. Angelov, Jonathan Back, et al.. (2013). Education of Murine NK Cells Requires Both cis and trans Recognition of MHC Class I Molecules. The Journal of Immunology. 191(10). 5044–5051. 36 indexed citations
13.
Back, Jonathan, Georgi S. Angelov, Roy A. Mariuzza, & Werner Held. (2011). The Interaction with H-2Dd in cis is Associated with a Conformational Change in the Ly49A NK Cell Receptor. SHILAP Revista de lepidopterología. 2. 55–55. 8 indexed citations
14.
Back, Jonathan, Léonardo Scarpellino, & Werner Held. (2009). Probing the Interactions of NK Cell Receptors with Ligand Expressed in trans and cis. Methods in molecular biology. 612. 313–323. 2 indexed citations
15.
Chalifour, Anick, Léonardo Scarpellino, Jonathan Back, et al.. (2009). A Role for cis Interaction between the Inhibitory Ly49A Receptor and MHC Class I for Natural Killer Cell Education. Immunity. 30(3). 337–347. 99 indexed citations
16.
Back, Jonathan, Emilio L. Malchiodi, Sangwoo Cho, et al.. (2009). Distinct Conformations of Ly49 Natural Killer Cell Receptors Mediate MHC Class I Recognition in Trans and Cis. Immunity. 31(4). 598–608. 48 indexed citations
17.
Back, Jonathan, et al.. (2005). In Vitro Glucose and Bile Acid Retardation Effect of Biocellulose. Food Engineering Progress. 9(4). 320–324. 1 indexed citations
18.
Back, Jonathan, David Allman, Susan Chan, & Philippe Kastner. (2005). Visualizing PU.1 activity during hematopoiesis. Experimental Hematology. 33(4). 395–402. 69 indexed citations
19.
Cock, Terrie‐Anne, Jonathan Back, Florent Elefteriou, et al.. (2004). Enhanced bone formation in lipodystrophic PPARγ hyp/hyp mice relocates haematopoiesis to the spleen. EMBO Reports. 5(10). 1007–1012. 96 indexed citations
20.
Ganguli, Gitali, Jonathan Back, Sagar Sengupta, & Bohdan Wasylyk. (2002). The p53 tumour suppressor inhibits glucocorticoid‐induced proliferation of erythroid progenitors. EMBO Reports. 3(6). 569–574. 36 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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