Monika Laumer

893 total citations
9 papers, 714 citations indexed

About

Monika Laumer is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Monika Laumer has authored 9 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Monika Laumer's work include Immunotherapy and Immune Responses (8 papers), Immune Cell Function and Interaction (6 papers) and T-cell and B-cell Immunology (3 papers). Monika Laumer is often cited by papers focused on Immunotherapy and Immune Responses (8 papers), Immune Cell Function and Interaction (6 papers) and T-cell and B-cell Immunology (3 papers). Monika Laumer collaborates with scholars based in Germany, Switzerland and United States. Monika Laumer's co-authors include Andréas Mackensen, Reinhard Andreesen, Norbert Meidenbauer, Jana Berger, Christian A. Schmidt, Krishna Mondal, Karin Fischer, Simon Voelkl, Grzegorz K. Przybylski and Leoni A. Kunz‐Schughart and has published in prestigious journals such as Journal of Clinical Oncology, Nano Letters and Blood.

In The Last Decade

Monika Laumer

8 papers receiving 701 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Monika Laumer Germany 8 596 414 116 94 54 9 714
Mara Valentini Italy 5 450 0.8× 379 0.9× 125 1.1× 47 0.5× 44 0.8× 5 643
Angelika Holler United Kingdom 16 495 0.8× 514 1.2× 179 1.5× 164 1.7× 60 1.1× 26 752
Jason L. Yovandich United States 11 696 1.2× 464 1.1× 112 1.0× 82 0.9× 88 1.6× 12 873
E Aruga United States 8 484 0.8× 283 0.7× 231 2.0× 80 0.9× 31 0.6× 9 646
So Matsui United States 6 1.1k 1.8× 451 1.1× 171 1.5× 39 0.4× 52 1.0× 8 1.2k
Daniel V. Correia Portugal 13 925 1.6× 491 1.2× 86 0.7× 48 0.5× 49 0.9× 13 1.0k
D. Byrd United States 5 796 1.3× 731 1.8× 172 1.5× 185 2.0× 86 1.6× 6 1.0k
Korina G. Veenstra United States 6 317 0.5× 216 0.5× 139 1.2× 54 0.6× 40 0.7× 8 484
Jana Šímová Czechia 15 533 0.9× 269 0.6× 231 2.0× 108 1.1× 109 2.0× 63 723
Samuel Alsén Sweden 9 513 0.9× 277 0.7× 191 1.6× 56 0.6× 43 0.8× 15 737

Countries citing papers authored by Monika Laumer

Since Specialization
Citations

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

Fields of papers citing papers by Monika Laumer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monika Laumer

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

All Works

9 of 9 papers shown
1.
Laumer, Monika, W. Huang, Chuyao Tong, et al.. (2025). Tunable Spin–Orbit Splitting in Bilayer Graphene/WSe2 Quantum Devices. Nano Letters. 25(33). 12480–12486.
2.
Hoves, Sabine, Michael Aigner, Christian Pfeiffer, et al.. (2009). In situ analysis of the antigen-processing machinery in acute myeloid leukaemic blasts by tissue microarray. Leukemia. 23(5). 877–885. 14 indexed citations
3.
Walton, Senta M., Marco Gerlinger, Olga de la Rosa, et al.. (2006). Spontaneous CD8 T Cell Responses against the Melanocyte Differentiation Antigen RAB38/NY-MEL-1 in Melanoma Patients. The Journal of Immunology. 177(11). 8212–8218. 21 indexed citations
4.
Mackensen, Andréas, et al.. (2006). Phase I Study of Adoptive T-Cell Therapy Using Antigen-Specific CD8+ T Cells for the Treatment of Patients With Metastatic Melanoma. Journal of Clinical Oncology. 24(31). 5060–5069. 238 indexed citations
5.
Meidenbauer, Norbert, Alfred Zippelius, Mikäel J. Pittet, et al.. (2004). High Frequency of Functionally Active Melan-A–Specific T Cells in a Patient with Progressive Immunoproteasome-Deficient Melanoma. Cancer Research. 64(17). 6319–6326. 48 indexed citations
6.
Fischer, Karin, Simon Voelkl, Grzegorz K. Przybylski, et al.. (2004). Isolation and characterization of human antigen-specific TCRαβ+ CD4-CD8- double-negative regulatory T cells. Blood. 105(7). 2828–2835. 210 indexed citations
7.
Meidenbauer, Norbert, et al.. (2004). Adoptive T cell therapy using antigen-specific CD8+ T cells for the treatment of patients with metastatic melanoma: a phase I clinical study. Cancer Cell International. 4(S1). 20 indexed citations
8.
Meidenbauer, Norbert, et al.. (2003). Survival and Tumor Localization of Adoptively Transferred Melan-A-Specific T Cells in Melanoma Patients. The Journal of Immunology. 170(4). 2161–2169. 124 indexed citations
9.
Mayer, Stephanie, Monika Laumer, Andréas Mackensen, Reinhard Andreesen, & Stefan W. Krause. (2002). Analysis of the Immune Response against Tetanus Toxoid: Enumeration of Specific T Helper Cells by the Elispot Assay. Immunobiology. 205(3). 282–289. 39 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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