Anja Klußmeier

598 total citations
12 papers, 399 citations indexed

About

Anja Klußmeier is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Anja Klußmeier has authored 12 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Anja Klußmeier's work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers) and Immunotherapy and Immune Responses (5 papers). Anja Klußmeier is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers) and Immunotherapy and Immune Responses (5 papers). Anja Klußmeier collaborates with scholars based in Germany, United States and Sweden. Anja Klußmeier's co-authors include Jan‐Willem De Gier, Samuel Wagner, Klaas J. van Wijk, Claudia Wagner, Per‐Åke Nygren, Olof Nord, Louise Baars, A. Jimmy Ytterberg, Alexander H. Schmidt and Vinzenz Lange and has published in prestigious journals such as The Journal of Infectious Diseases, Frontiers in Immunology and Molecular & Cellular Proteomics.

In The Last Decade

Anja Klußmeier

9 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anja Klußmeier Germany 6 259 145 62 57 30 12 399
Steven Szarka Canada 8 356 1.4× 119 0.8× 36 0.6× 75 1.3× 16 0.5× 8 509
Tadamune Otsubo Japan 12 232 0.9× 53 0.4× 85 1.4× 15 0.3× 20 0.7× 33 400
E. Mathew United States 7 192 0.7× 158 1.1× 44 0.7× 54 0.9× 9 0.3× 9 324
Masayasu Takahara Japan 8 346 1.3× 209 1.4× 56 0.9× 100 1.8× 23 0.8× 10 521
Earl W. May United States 11 415 1.6× 119 0.8× 25 0.4× 78 1.4× 18 0.6× 16 511
Zhanghua Chen United States 4 210 0.8× 116 0.8× 16 0.3× 44 0.8× 34 1.1× 10 389
Hui Quan China 11 356 1.4× 98 0.7× 50 0.8× 14 0.2× 13 0.4× 26 471
Catherine E Caldon Australia 8 378 1.5× 138 1.0× 20 0.3× 51 0.9× 25 0.8× 9 518
Rebecca St. Pierre Canada 7 364 1.4× 216 1.5× 47 0.8× 69 1.2× 21 0.7× 8 536
Laura Miguel-Romero Spain 8 269 1.0× 111 0.8× 22 0.4× 107 1.9× 41 1.4× 16 400

Countries citing papers authored by Anja Klußmeier

Since Specialization
Citations

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

Fields of papers citing papers by Anja Klußmeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anja Klußmeier

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

All Works

12 of 12 papers shown
1.
2.
Tietze, Stefanie, Julia Phieler, Kylie Hengst, et al.. (2025). PCR optimization for buccal swab-derived samples: overcoming sporadic inhibition with bovine serum albumin. BMC Genomics. 26(1). 1085–1085.
3.
Schöne, Bianca, Steffen Klasberg, Alexander H. Schmidt, et al.. (2024). Full-Length Characterization of Novel HLA-DRB1 Alleles for Reference Database Submission. Methods in molecular biology. 2809. 145–156. 1 indexed citations
4.
Klußmeier, Anja, Steffen Klasberg, Jürgen Sauter, et al.. (2023). High population frequencies of MICA copy number variations originate from independent recombination events. Frontiers in Immunology. 14. 1297589–1297589. 2 indexed citations
5.
Klußmeier, Anja, et al.. (2022). Secretin Receptor as a Target in Gastrointestinal Cancer: Expression Analysis and Ligand Development. Biomedicines. 10(3). 536–536. 4 indexed citations
6.
Schöfl, Gerhard, et al.. (2021). HLA‐E diversity unfolded: Identification and characterization of 170 novel HLA‐E alleles. HLA. 97(5). 389–398. 15 indexed citations
7.
Klußmeier, Anja, Jürgen Sauter, Jan A. Hofmann, et al.. (2020). High-Throughput MICA/B Genotyping of Over Two Million Samples: Workflow and Allele Frequencies. Frontiers in Immunology. 11. 314–314. 29 indexed citations
8.
Schetelig, Johannes, Frédérik Damm, Ross L. Levine, et al.. (2020). The clinical implications of clonal hematopoiesis in hematopoietic cell transplantation. Blood Reviews. 46. 100744–100744. 13 indexed citations
9.
Sauter, Jürgen, Ute V. Solloch, Anja Klußmeier, et al.. (2020). HLA-E typing of more than 2.5 million potential hematopoietic stem cell donors: Methods and population-specific allele frequencies. Human Immunology. 82(7). 541–547. 19 indexed citations
10.
Biedenkopf, Nadine, et al.. (2011). Phosphorylation of Marburg Virus NP Region II Modulates Viral RNA Synthesis. The Journal of Infectious Diseases. 204(suppl_3). S927–S933. 15 indexed citations
11.
Wagner, Samuel, Louise Baars, A. Jimmy Ytterberg, et al.. (2007). Consequences of Membrane Protein Overexpression in Escherichia coli. Molecular & Cellular Proteomics. 6(9). 1527–1550. 300 indexed citations
12.
Wagner, Samuel, Louise Baars, A. Jimmy Ytterberg, et al.. (2007). Consequences of membrane protein overexpression in Escherichia coli. 2007(Spring).

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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