Bjarne Bogen

598 total citations
21 papers, 493 citations indexed

About

Bjarne Bogen is a scholar working on Immunology, Hematology and Oncology. According to data from OpenAlex, Bjarne Bogen has authored 21 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 12 papers in Hematology and 10 papers in Oncology. Recurrent topics in Bjarne Bogen's work include Multiple Myeloma Research and Treatments (12 papers), Immunotherapy and Immune Responses (10 papers) and T-cell and B-cell Immunology (7 papers). Bjarne Bogen is often cited by papers focused on Multiple Myeloma Research and Treatments (12 papers), Immunotherapy and Immune Responses (10 papers) and T-cell and B-cell Immunology (7 papers). Bjarne Bogen collaborates with scholars based in Norway, Germany and United States. Bjarne Bogen's co-authors include Siegfried Weiss, Siegfried Weiß, Grete F. Lauritzsen, Peter O. Hofgaard, Anders Tveita, Ole Audun Werner Haabeth, Marte Fauskanger, Karl Schenck, Frode Miltzow Skjeldal and Franziska Jundt and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Clinical Cancer Research.

In The Last Decade

Bjarne Bogen

20 papers receiving 489 citations

Peers

Bjarne Bogen

IMMUN

ONCOL

HEMAT

RNMI

Serena Tseng United States

Stefania Militi Italy

Nadège Carrié France

CW Song United States

Geoffrey Catalano United States

E. Yuen Australia

Julia Schleypen Germany

Arafat Aljoufi United States

S B Ebeling Netherlands

I K McNiece United States

Serena Tseng United States

Bjarne Bogen

470 ×1.4

IMMUN

213 ×1.0

ONCOL

166 ×1.2

110 ×0.8

HEMAT

50 ×0.7

RNMI

Citations per year, relative to Bjarne Bogen Bjarne Bogen (= 1×) peers Serena Tseng

Countries citing papers authored by Bjarne Bogen

Since Specialization

Citations

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

Fields of papers citing papers by Bjarne Bogen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bjarne Bogen

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

All Works

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20 of 20 papers shown

Bogen, Bjarne, et al.. (2023). Tracking the cellular immune response from early premalignancy to active multiple myeloma in a new model. European Journal of Immunology. 54(1). e2350627–e2350627.

Kikuchi, Jiro, Sho Ikeda, Takahiro Kobayashi, et al.. (2022). EMD originates from hyaluronan-induced homophilic interactions of CD44 variant-expressing MM cells under shear stress. Blood Advances. 7(4). 508–524. 5 indexed citations

Szodoray, Péter, Julia Heinzelbecker, Peter C. Huszthy, et al.. (2021). Integration of T helper and BCR signals governs enhanced plasma cell differentiation of memory B cells by regulation of CD45 phosphatase activity. Cell Reports. 36(6). 109525–109525. 11 indexed citations

Thiele, Tobias, et al.. (2021). Prevention of Bone Destruction by Mechanical Loading Is Not Enhanced by the Bruton’s Tyrosine Kinase Inhibitor CC-292 in Myeloma Bone Disease. International Journal of Molecular Sciences. 22(8). 3840–3840. 4 indexed citations

Kwon, Minsuk, Hoyoung Lee, Hyunsoo Cho, et al.. (2020). PD-1 Blockade Reinvigorates Bone Marrow CD8+ T Cells from Patients with Multiple Myeloma in the Presence of TGFβ Inhibitors. Clinical Cancer Research. 26(7). 1644–1655. 34 indexed citations

Haabeth, Ole Audun Werner, et al.. (2020). CD4+ T-cell killing of multiple myeloma cells is mediated by resident bone marrow macrophages. Blood Advances. 4(12). 2595–2605. 21 indexed citations

Fauskanger, Marte, Ole Audun Werner Haabeth, Frode Miltzow Skjeldal, Bjarne Bogen, & Anders Tveita. (2018). Tumor Killing by CD4+ T Cells Is Mediated via Induction of Inducible Nitric Oxide Synthase-Dependent Macrophage Cytotoxicity. Frontiers in Immunology. 9. 1684–1684. 52 indexed citations

Béguin, Yves, Ludovic Belle, Muriel Hannon, et al.. (2014). Establishment of a Murine Graft-versus-Myeloma Model Using Allogeneic Stem Cell Transplantation. PLoS ONE. 9(11). e113764–e113764. 10 indexed citations

Wong, David M., Oliver Winter, Martin Szyska, et al.. (2014). Eosinophils and Megakaryocytes Support the Early Growth of Murine MOPC315 Myeloma Cells in Their Bone Marrow Niches. PLoS ONE. 9(10). e109018–e109018. 27 indexed citations

10.

Jacobsen, Johanne T., Ole Audun Werner Haabeth, Anders Tveita, et al.. (2014). Naive Idiotope-Specific B and T Cells Collaborate Efficiently in the Absence of Dendritic Cells. The Journal of Immunology. 192(9). 4174–4183. 13 indexed citations

11.

Riedel, Simone S., Anja Mottok, Christian Brede, et al.. (2012). Non-Invasive Imaging Provides Spatiotemporal Information on Disease Progression and Response to Therapy in a Murine Model of Multiple Myeloma. PLoS ONE. 7(12). e52398–e52398. 22 indexed citations

12.

Hofgaard, Peter O., Harald Hauglin, Soheil Naderi, et al.. (2011). Cyclic AMP induces apoptosis in multiple myeloma cells and inhibits tumor development in a mouse myeloma model. BMC Cancer. 11(1). 301–301. 33 indexed citations

13.

Ruffini, Pier Adelchi, et al.. (2011). Targeted idiotype‐fusion DNA vaccines for human multiple myeloma: preclinical testing. European Journal Of Haematology. 86(5). 385–395. 9 indexed citations

14.

Bogen, Bjarne, Pier Adelchi Ruffini, Alexandre Corthay, et al.. (2006). Idiotype-specific immunotherapy in multiple myeloma: suggestions for future directions of research.. PubMed. 91(7). 941–8. 19 indexed citations

15.

Lunde, Elin, et al.. (2001). “Troy-bodies”: Recombinant Antibodies that Target T Cell Epitopes to Antigen Presenting Cells. International Reviews of Immunology. 20(5). 647–673. 3 indexed citations

16.

Lauritzsen, Grete F., Peter O. Hofgaard, Karl Schenck, & Bjarne Bogen. (1998). Clonal deletion of thymocytes as a tumor escape mechanism. International Journal of Cancer. 78(2). 216–222. 51 indexed citations

17.

Bogen, Bjarne & Siegfried Weiss. (1993). Processing and Presentation of Idiotypes to MHC-Restricted T Cells. International Reviews of Immunology. 10(4). 337–355. 58 indexed citations

18.

Bogen, Bjarne & Siegfried Weiß. (1991). A rearranged λ₂ light gene chain retards but does not exclude x and λ₁ expression. European Journal of Immunology. 21(10). 2391–2395. 20 indexed citations

19.

Bogen, Bjarne, Grete F. Lauritzsen, & Siegfried Weiß. (1990). A stimulatory monoclonal antibody detecting T cell receptor diversity among idiotype‐specific, major histocompatibility complex‐restricted T cell clones. European Journal of Immunology. 20(10). 2359–2362. 38 indexed citations

20.

Bogen, Bjarne & Siegfried Weiß. (1988). B Lymphoma Cells Process and Present their Endogenous Ig: Implications for Network Theory. Advances in experimental medicine and biology. 237. 877–882. 8 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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