Lois Hageman

567 total citations
14 papers, 419 citations indexed

About

Lois Hageman is a scholar working on Immunology, Epidemiology and Oncology. According to data from OpenAlex, Lois Hageman has authored 14 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 7 papers in Epidemiology and 5 papers in Oncology. Recurrent topics in Lois Hageman's work include Cytomegalovirus and herpesvirus research (7 papers), T-cell and B-cell Immunology (7 papers) and Immune Cell Function and Interaction (7 papers). Lois Hageman is often cited by papers focused on Cytomegalovirus and herpesvirus research (7 papers), T-cell and B-cell Immunology (7 papers) and Immune Cell Function and Interaction (7 papers). Lois Hageman collaborates with scholars based in Netherlands, Germany and Russia. Lois Hageman's co-authors include Ton N. Schumacher, John B.A.G. Haanen, Olivier Michielin, Marij J.P. Welters, Sander Kelderman, Deborah Joseph-Pietras, Christian U. Blank, Daisy Philips, Ellen Kapiteijn and Daniel E. Speiser and has published in prestigious journals such as Blood, The Journal of Immunology and The Journal of Infectious Diseases.

In The Last Decade

Lois Hageman

14 papers receiving 416 citations

Peers

Countries citing papers authored by Lois Hageman

Since Specialization

Citations

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

Fields of papers citing papers by Lois Hageman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lois Hageman

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

#	Title	Journal	Authors	Indexed citations
1	Automated manufacture of ΔNPM1 TCR-engineered T cells for AML therapy	Molecular Therapy — Methods & Clinical Development	Lois Hageman, Marieke Griffioen et al.	2
2	Promiscuity of Peptides Presented in HLA-DP Molecules from Different Immunogenicity Groups Is Associated With T-Cell Cross-Reactivity	Frontiers in Immunology	Michel G.D. Kester, Lois Hageman et al.	10
3	Public T-Cell Receptors (TCRs) Revisited by Analysis of the Magnitude of Identical and Highly-Similar TCRs in Virus-Specific T-Cell Repertoires of Healthy Individuals	Frontiers in Immunology	Lois Hageman, Grigory A. Efimov et al.	18
4	Amino acids at position 5 in the peptide/MHC binding region of a public virus‐specific TCR are completely inter‐changeable without loss of function	European Journal of Immunology	Lois Hageman, Derk Amsen et al.	1
5	Tracking the progeny of adoptively transferred virus-specific T cells in patients posttransplant using TCR sequencing	Blood Advances	Lois Hageman, Peter van Balen et al.	1
6	Magnitude of Off-Target Allo-HLA Reactivity by Third-Party Donor-Derived Virus-Specific T Cells Is Dictated by HLA-Restriction	Frontiers in Immunology	Lois Hageman, Derk Amsen et al.	10
7	HA-1H T-Cell Receptor Gene Transfer to Redirect Virus-Specific T Cells for Treatment of Hematological Malignancies After Allogeneic Stem Cell Transplantation: A Phase 1 Clinical Study	Frontiers in Immunology	Peter van Balen, Inge Jedema et al.	30
8	A minority of T cells recognizing tumor-associated antigens presented in self-HLA can provoke antitumor reactivity	Blood	Lois Hageman, Christian Stemberger et al.	11
9	Identification of Functional HLA-A*01:01–Restricted Epstein-Barr Latent Membrane Protein 2–Specific T-Cell Receptors	The Journal of Infectious Diseases	Lois Hageman, Laura T. Morton et al.	9
10	Generation and infusion of multi-antigen-specific T cells to prevent complications early after T-cell depleted allogeneic stem cell transplantation—a phase I/II study	Leukemia	Peter van Balen, Lothar Germeroth et al.	19
11	The simultaneous isolation of multiple high and low frequent T-cell populations from donor peripheral blood mononuclear cells using the major histocompatibility complex I-Streptamer isolation technology	Cytotherapy	Lois Hageman, Ellis van Liempt et al.	9
12	High Mutation Frequency of the PIGA Gene in T Cells Results in Reconstitution of GPI Anchor−/CD52− T Cells That Can Give Early Immune Protection after Alemtuzumab-Based T Cell–Depleted Allogeneic Stem Cell Transplantation	The Journal of Immunology	Floris C. Loeff, J.H. Frederik Falkenburg et al.	9
13	Prevention of Viral Infections after T Cell Depleted Allogeneic Stem Cell Transplantation By Infusion of Multi-Antigen Specific T Cell Products	Blood	Peter van Balen, Lois Hageman et al.	2
14	Anti–CTLA-4 therapy broadens the melanoma-reactive CD8 ⁺ T cell response	Science Translational Medicine	Pia Kvistborg, Daisy Philips et al.	288

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.

Explore authors with similar magnitude of impact