Hans J. Stauss

10.4k total citations
136 papers, 5.6k citations indexed

About

Hans J. Stauss is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Hans J. Stauss has authored 136 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Immunology, 75 papers in Oncology and 35 papers in Molecular Biology. Recurrent topics in Hans J. Stauss's work include Immunotherapy and Immune Responses (76 papers), CAR-T cell therapy research (67 papers) and Immune Cell Function and Interaction (61 papers). Hans J. Stauss is often cited by papers focused on Immunotherapy and Immune Responses (76 papers), CAR-T cell therapy research (67 papers) and Immune Cell Function and Interaction (61 papers). Hans J. Stauss collaborates with scholars based in United Kingdom, United States and Germany. Hans J. Stauss's co-authors include Emma Morris, Shao‐An Xue, Elena Sadovnikova, Liquan Gao, Angelika Holler, John M. Goldman, Sharyn Thomas, Graham P. Wright, Ilaria Bellantuono and Gavin Bendle and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.

In The Last Decade

Hans J. Stauss

135 papers receiving 5.5k citations

Peers

Hans J. Stauss

IMMUN

ONCOL

MB

GENET

EPIDE

Giulia Casorati Italy

Fabio Candotti United States

Mirjam H.M. Heemskerk Netherlands

Kristen E. Pauken United States

Timothy M. Clay United States

Ben Youngblood United States

Attilio Bondanza Italy

Diane Hollenbaugh United States

Yun Ji United States

Richard P. Junghans United States

Giulia Casorati Italy

Hans J. Stauss

5.8k ×1.6

IMMUN

2.1k ×0.7

ONCOL

1.5k ×1.0

MB

843 ×0.7

GENET

542 ×1.0

EPIDE

Citations per year, relative to Hans J. Stauss Hans J. Stauss (= 1×) peers Giulia Casorati

Countries citing papers authored by Hans J. Stauss

Since Specialization

Citations

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

Fields of papers citing papers by Hans J. Stauss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans J. Stauss. 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 Hans J. Stauss. The network helps show where Hans J. Stauss may publish in the future.

Co-authorship network of co-authors of Hans J. Stauss

This figure shows the co-authorship network connecting the top 25 collaborators of Hans J. Stauss. A scholar is included among the top collaborators of Hans J. Stauss 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 Hans J. Stauss. Hans J. Stauss 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

1.

Baumgarten, Louisa von, Hans J. Stauss, & Jan D. Lünemann. (2023). Synthetic Cell-Based Immunotherapies for Neurologic Diseases. Neurology Neuroimmunology & Neuroinflammation. 10(5). 8 indexed citations

2.

Holler, Angelika, et al.. (2022). Forced Fox-P3 expression can improve the safety and antigen-specific function of engineered regulatory T cells. Journal of Autoimmunity. 132. 102888–102888. 15 indexed citations

3.

Deng, Yun, Bithi Chatterjee, Kyra D. Zens, et al.. (2021). CD27 is required for protective lytic EBV antigen–specific CD8+ T-cell expansion. Blood. 137(23). 3225–3236. 27 indexed citations

4.

Cherukuri, Aravind, Alan D. Salama, Rajil Mehta, et al.. (2021). Transitional B cell cytokines predict renal allograft outcomes. Science Translational Medicine. 13(582). 31 indexed citations

5.

Chatterjee, Bithi, Yun Deng, Angelika Holler, et al.. (2019). CD8+ T cells retain protective functions despite sustained inhibitory receptor expression during Epstein-Barr virus infection in vivo. PLoS Pathogens. 15(5). e1007748–e1007748. 56 indexed citations

6.

Clarke, Alex, et al.. (2018). Investigating the Effectiveness, Acceptability and Impact on Healthcare Usage of Providing a Cognitive-Behavioural Based Psychological Therapy Service for Patients with Primary Antibody Deficiency. Journal of Clinical Immunology. 38(2). 214–220. 2 indexed citations

7.

Hou, Tie Zheng, Nisha Verma, Jennifer Wanders, et al.. (2017). Identifying functional defects in patients with immune dysregulation due to LRBA and CTLA-4 mutations. Blood. 129(11). 1458–1468. 71 indexed citations

8.

Simons, Sami O., et al.. (2016). Differences in systemic adaptive immunity contribute to the ‘frequent exacerbator’ COPD phenotype. Respiratory Research. 17(1). 140–140. 19 indexed citations

9.

Veliça, Pedro, Siân M. Henson, Angelika Holler, et al.. (2015). Genetic Regulation of Fate Decisions in Therapeutic T Cells to Enhance Tumor Protection and Memory Formation. Cancer Research. 75(13). 2641–2652. 19 indexed citations

10.

Gilham, David E., John Anderson, John S. Bridgeman, et al.. (2015). Adoptive T-Cell Therapy for Cancer in the United Kingdom: A Review of Activity for the British Society of Gene and Cell Therapy Annual Meeting 2015. Human Gene Therapy. 26(5). 276–285. 15 indexed citations

11.

Gehring, Adam J., Shao‐An Xue, Zi Zong Ho, et al.. (2010). Engineering virus-specific T cells that target HBV infected hepatocytes and hepatocellular carcinoma cell lines. Journal of Hepatology. 55(1). 103–110. 166 indexed citations

12.

Wright, Graham P., Clare A. Notley, Shao‐An Xue, et al.. (2009). Adoptive therapy with redirected primary regulatory T cells results in antigen-specific suppression of arthritis. Proceedings of the National Academy of Sciences. 106(45). 19078–19083. 177 indexed citations

13.

Leisegang, Matthias, Boris Engels, Elisa Kieback, et al.. (2008). Enhanced functionality of T cell receptor-redirected T cells is defined by the transgene cassette. Journal of Molecular Medicine. 86(7). 855–855. 5 indexed citations

14.

Tanriver, Yakup, Shuiping Jiang, Shao‐An Xue, et al.. (2008). Conferring indirect allospecificity on CD4+CD25+ Tregs by TCR gene transfer favors transplantation tolerance in mice. Journal of Clinical Investigation. 118(11). 3619–3628. 228 indexed citations

15.

Thomas, Sharyn, Shao‐An Xue, Michela Cesco-Gaspere, et al.. (2007). Targeting the Wilms Tumor Antigen 1 by TCR Gene Transfer: TCR Variants Improve Tetramer Binding but Not the Function of Gene Modified Human T Cells. The Journal of Immunology. 179(9). 5803–5810. 66 indexed citations

16.

Bendle, Gavin, Shao‐An Xue, Angelika Holler, & Hans J. Stauss. (2007). A Study of T Cell Tolerance to the Tumor-Associated Antigen MDM2: Cytokines Can Restore Antigen Responsiveness, but Not High Avidity T Cell Function. PLoS ONE. 2(4). e353–e353. 7 indexed citations

17.

Stauss, Hans J., et al.. (2004). Exploiting alloreactivity for tumour immunotherapy. Vox Sanguinis. 87(s2). 227–229. 6 indexed citations

18.

Sadovnikova, Elena, Louise A. Jopling, Kenneth Soo, & Hans J. Stauss. (1998). Generation of human tumor-reactive cytotoxic T cells against peptides presented by non-self HLA class I molecules. European Journal of Immunology. 28(1). 193–200. 2 indexed citations

19.

Sadovnikova, Elena, Louise A. Jopling, Kenneth Soo, & Hans J. Stauss. (1998). Generation of human tumor-reactive cytotoxic T cells against peptides presented by non-self HLA class I molecules. European Journal of Immunology. 28(1). 193–200. 86 indexed citations

20.

Schreiber, Hans, P L Ward, Donald A. Rowley, & Hans J. Stauss. (1988). Unique Tumor-Specific Antigens. Annual Review of Immunology. 6(1). 465–483. 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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