Mark L. Sandberg

1.0k total citations
19 papers, 815 citations indexed

About

Mark L. Sandberg is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Mark L. Sandberg has authored 19 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 9 papers in Immunology and 6 papers in Molecular Biology. Recurrent topics in Mark L. Sandberg's work include CAR-T cell therapy research (6 papers), Immune Cell Function and Interaction (5 papers) and Viral-associated cancers and disorders (4 papers). Mark L. Sandberg is often cited by papers focused on CAR-T cell therapy research (6 papers), Immune Cell Function and Interaction (5 papers) and Viral-associated cancers and disorders (4 papers). Mark L. Sandberg collaborates with scholars based in United States, Switzerland and Germany. Mark L. Sandberg's co-authors include Bill Sugden, Wolfgang Hammerschmidt, Michael P. Cooke, Susan Sutton, Mathew T. Pletcher, Lisa M. Tarantino, Tim Wiltshire, John B. Hogenesch, Ellen Kilger and G. Reisbach and has published in prestigious journals such as Nature Immunology, PLoS ONE and Biochemistry.

In The Last Decade

Mark L. Sandberg

19 papers receiving 803 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark L. Sandberg United States 13 414 290 252 153 116 19 815
Jessica Dal Col Italy 20 554 1.3× 469 1.6× 550 2.2× 202 1.3× 98 0.8× 35 1.2k
K. Kaltoft Denmark 16 286 0.7× 319 1.1× 467 1.9× 211 1.4× 50 0.4× 35 998
Roland Geisberger Austria 18 417 1.0× 388 1.3× 526 2.1× 128 0.8× 34 0.3× 49 1.1k
David Siwarski United States 17 442 1.1× 602 2.1× 397 1.6× 155 1.0× 36 0.3× 41 1.1k
Deborah Hardie United Kingdom 10 206 0.5× 382 1.3× 715 2.8× 97 0.6× 41 0.4× 15 1.2k
Kavitha Balaji United States 9 381 0.9× 320 1.1× 229 0.9× 92 0.6× 23 0.2× 15 829
Cecilia Larocca United States 12 303 0.7× 610 2.1× 253 1.0× 65 0.4× 35 0.3× 37 1.0k
Jane Seagal United States 12 236 0.6× 249 0.9× 644 2.6× 159 1.0× 43 0.4× 20 995
Anagh A. Sahasrabuddhe United States 16 217 0.5× 521 1.8× 224 0.9× 261 1.7× 20 0.2× 23 926
Irene Shostak Canada 10 150 0.4× 441 1.5× 428 1.7× 50 0.3× 39 0.3× 10 902

Countries citing papers authored by Mark L. Sandberg

Since Specialization
Citations

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

Fields of papers citing papers by Mark L. Sandberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark L. Sandberg. 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 Mark L. Sandberg. The network helps show where Mark L. Sandberg may publish in the future.

Co-authorship network of co-authors of Mark L. Sandberg

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

All Works

19 of 19 papers shown
1.
Shafaattalab, Sanam, Erica R. Vander Mause, Aaron Winters, et al.. (2024). Geometric parameters that affect the behavior of logic-gated CAR T cells. Frontiers in Immunology. 15. 1304765–1304765. 5 indexed citations
2.
Sandberg, Mark L., Michele McElvain, Sanam Shafaattalab, et al.. (2022). A carcinoembryonic antigen-specific cell therapy selectively targets tumor cells with HLA loss of heterozygosity in vitro and in vivo. Science Translational Medicine. 14(634). eabm0306–eabm0306. 41 indexed citations
3.
Wang, Xueyin, Michele McElvain, Julyun Oh, et al.. (2021). Extensive functional comparisons between chimeric antigen receptors and T cell receptors highlight fundamental similarities. Molecular Immunology. 138. 137–149. 6 indexed citations
4.
Wang, Xueyin, Mark L. Sandberg, Michele McElvain, et al.. (2021). Potent, Selective CARs as Potential T-Cell Therapeutics for HPV-positive Cancers. Journal of Immunotherapy. 44(8). 292–306. 19 indexed citations
5.
Han, Xu, Agnes E. Hamburger, Xueyin Wang, et al.. (2020). Structure-function relationships of chimeric antigen receptors in acute T cell responses to antigen. Molecular Immunology. 126. 56–64. 14 indexed citations
6.
Wang, Xueyin, Xu Han, Alexander Kamb, et al.. (2020). 125 Reexamination of MAGE-A3 as a T-cell Therapeutic Target. Regular and Young Investigator Award Abstracts. A76.1–A76. 1 indexed citations
8.
Miller, Andrew T., Carol Dahlberg, Mark L. Sandberg, et al.. (2015). Inhibition of the Inositol Kinase Itpkb Augments Calcium Signaling in Lymphocytes and Reveals a Novel Strategy to Treat Autoimmune Disease. PLoS ONE. 10(6). e0131071–e0131071. 15 indexed citations
9.
Zhang, Guobao, Pingda Ren, Nathanael S. Gray, et al.. (2009). Discovery of pyrimidine benzimidazoles as Src-family selective Lck inhibitors. Part II. Bioorganic & Medicinal Chemistry Letters. 19(23). 6691–6695. 5 indexed citations
10.
Sauer, Karsten, Yina H. Huang, Hongying Lin, Mark L. Sandberg, & Georg W. Mayr. (2009). Phosphoinositide and Inositol Phosphate Analysis in Lymphocyte Activation. Current Protocols in Immunology. 87(1). 11.1.1–11.1.46. 21 indexed citations
11.
Huang, Shenlin, Zuosheng Liu, Shin‐Shay Tian, et al.. (2008). Discovery of 2-amino-6-carboxamidobenzothiazoles as potent Lck inhibitors. Bioorganic & Medicinal Chemistry Letters. 18(7). 2324–2328. 5 indexed citations
12.
Zhang, Guobao, Pingda Ren, Nathanael S. Gray, et al.. (2008). Discovery of pyrimidine benzimidazoles as Lck inhibitors: Part I. Bioorganic & Medicinal Chemistry Letters. 18(20). 5618–5621. 26 indexed citations
13.
Miller, Andrew T., Mark L. Sandberg, Yina H. Huang, et al.. (2007). Production of Ins(1,3,4,5)P4 mediated by the kinase Itpkb inhibits store-operated calcium channels and regulates B cell selection and activation. Nature Immunology. 8(5). 514–521. 65 indexed citations
14.
Sandberg, Mark L., Susan Sutton, Mathew T. Pletcher, et al.. (2005). c-Myb and p300 Regulate Hematopoietic Stem Cell Proliferation and Differentiation. Developmental Cell. 8(2). 153–166. 218 indexed citations
15.
Chamberlain, Philip P., Mark L. Sandberg, Karsten Sauer, et al.. (2005). Structural Insights into Enzyme Regulation for Inositol 1,4,5-Trisphosphate 3-Kinase B. Biochemistry. 44(44). 14486–14493. 23 indexed citations
16.
Sandberg, Mark L., et al.. (2004). High Physiological Levels of LMP1 Result in Phosphorylation of eIF2α in Epstein-Barr Virus-Infected Cells. Journal of Virology. 78(4). 1657–1664. 51 indexed citations
17.
Dirmeier, Ulrike, Bernhard Neuhierl, Ellen Kilger, et al.. (2003). Latent membrane protein 1 is critical for efficient growth transformation of human B cells by epstein-barr virus.. PubMed. 63(11). 2982–9. 116 indexed citations
18.
Sandberg, Mark L., Ajamete Kaykas, & Bill Sugden. (2000). Latent Membrane Protein 1 of Epstein-Barr Virus Inhibits as Well as Stimulates Gene Expression. Journal of Virology. 74(20). 9755–9761. 25 indexed citations
19.
Sandberg, Mark L., Wolfgang Hammerschmidt, & Bill Sugden. (1997). Characterization of LMP-1's association with TRAF1, TRAF2, and TRAF3. Journal of Virology. 71(6). 4649–4656. 156 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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