Andreas Roller

5.8k total citations · 1 hit paper
33 papers, 2.1k citations indexed

About

Andreas Roller is a scholar working on Hematology, Oncology and Cancer Research. According to data from OpenAlex, Andreas Roller has authored 33 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hematology, 12 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in Andreas Roller's work include Acute Myeloid Leukemia Research (15 papers), Cancer Immunotherapy and Biomarkers (9 papers) and Cancer Genomics and Diagnostics (9 papers). Andreas Roller is often cited by papers focused on Acute Myeloid Leukemia Research (15 papers), Cancer Immunotherapy and Biomarkers (9 papers) and Cancer Genomics and Diagnostics (9 papers). Andreas Roller collaborates with scholars based in Germany, Switzerland and United Kingdom. Andreas Roller's co-authors include Wolfgang Kern, Torsten Haferlach, Susanne Schnittger, Claudia Haferlach, Alexander Kohlmann, Vera Grossmann, Christian Klein, Didier Lardinois, Vaios Karanikas and Alfred Zippelius and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Journal of Clinical Oncology.

In The Last Decade

Andreas Roller

32 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A transcriptionally and functionally distinct PD-1+ CD8+ T cell pool with predictive potential in non-small-cell lung cancer treated with PD-1 blockade

2018 733 citations Daniela S. Thommen, Viktor H. Koelzer et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andreas Roller Germany	16	1.0k	867	661	589	445	33	2.1k
David Wu United States	21	1.1k 1.1×	631 0.7×	547 0.8×	516 0.9×	289 0.6×	65	2.4k
Dragan Jevremović United States	28	659 0.6×	726 0.8×	416 0.6×	1.1k 1.9×	422 0.9×	104	2.3k
Barbara Bigerna Italy	23	664 0.7×	661 0.8×	692 1.0×	876 1.5×	555 1.2×	35	2.5k
Andries C. Bloem Netherlands	23	628 0.6×	709 0.8×	792 1.2×	706 1.2×	226 0.5×	57	1.9k
Steven J. Kussick United States	24	639 0.6×	306 0.4×	492 0.7×	634 1.1×	426 1.0×	37	2.1k
Mark Klinger United States	18	696 0.7×	872 1.0×	274 0.4×	504 0.9×	127 0.3×	30	1.7k
Anna Guarini Italy	28	853 0.8×	1.4k 1.6×	652 1.0×	441 0.7×	1.0k 2.3×	90	2.6k
Il‐Kang Na Germany	22	437 0.4×	594 0.7×	520 0.8×	374 0.6×	275 0.6×	69	1.4k
María Gomes da Silva Portugal	20	1.1k 1.0×	714 0.8×	216 0.3×	501 0.9×	436 1.0×	83	2.3k
L. Bik To Australia	21	731 0.7×	451 0.5×	1.6k 2.4×	323 0.5×	605 1.4×	38	2.1k

Countries citing papers authored by Andreas Roller

Since Specialization

Citations

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

Fields of papers citing papers by Andreas Roller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Roller

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Roller. A scholar is included among the top collaborators of Andreas Roller 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 Andreas Roller. Andreas Roller 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

Roller, Andreas, Iakov I. Davydov, Petra Schwalie, et al.. (2024). Tumor-agnostic transcriptome-based classifier identifies spatial infiltration patterns of CD8+T cells in the tumor microenvironment and predicts clinical outcome in early-phase and late-phase clinical trials. Journal for ImmunoTherapy of Cancer. 12(4). e008185–e008185. 6 indexed citations

Ribba, Benjamin, Andreas Roller, Hans‐Joachim Helms, Martin Stern, & Conrad C. Bleul. (2023). Circulating tumor DNA: Opportunities and challenges for pharmacometric approaches. Frontiers in Pharmacology. 13. 1058220–1058220. 5 indexed citations

Roller, Andreas, et al.. (2023). Matching byOSPrognostic Score to Construct External Controls in Lung Cancer Clinical Trials. Clinical Pharmacology & Therapeutics. 115(2). 333–341. 1 indexed citations

Sam, Johannes, Sara Colombetti, Tanja Fauti, et al.. (2020). Combination of T-Cell Bispecific Antibodies With PD-L1 Checkpoint Inhibition Elicits Superior Anti-Tumor Activity. Frontiers in Oncology. 10. 575737–575737. 38 indexed citations

Thommen, Daniela S., Viktor H. Koelzer, Petra Herzig, et al.. (2018). A transcriptionally and functionally distinct PD-1+ CD8+ T cell pool with predictive potential in non-small-cell lung cancer treated with PD-1 blockade. Nature Medicine. 24(7). 994–1004. 733 indexed citations breakdown →

Schmucki, Roland, Ben Loos, Nils Grabole, et al.. (2018). The genomic organization and expression pattern of the low-affinity Fc gamma receptors (FcγR) in the Göttingen minipig. Immunogenetics. 71(2). 123–136. 7 indexed citations

Mayoux, Maud, Marieke F. Fransen, Andreas Roller, et al.. (2017). Abstract 3658: Dendritic cells dictate the responsiveness of PD-L1 blockade in cancer. Cancer Research. 77(13_Supplement). 3658–3658. 2 indexed citations

Thommen, Daniela S., Jens Schreiner, Philipp Müller, et al.. (2015). Progression of Lung Cancer Is Associated with Increased Dysfunction of T Cells Defined by Coexpression of Multiple Inhibitory Receptors. Cancer Immunology Research. 3(12). 1344–1355. 315 indexed citations

Schreiner, Jens, Daniela S. Thommen, Petra Herzig, et al.. (2015). Expression of inhibitory receptors on intratumoral T cells modulates the activity of a T cell-bispecific antibody targeting folate receptor. OncoImmunology. 5(2). e1062969–e1062969. 28 indexed citations

10.

Haferlach, Claudia, Melanie Zenger, Marita Staller, et al.. (2013). Array CGH Identifies Copy Number Changes In 10% Of 520 MDS Patients With Normal Karyotype: Deletions Encompass The Genes TET2, DNMT3A, ETV6, NF1, RUNX1, and STAG2 and Are Associated With Shorter Survival. Blood. 122(21). 1516–1516. 1 indexed citations

11.

Grossmann, Vera, Claudia Haferlach, Sandra Weißmann, et al.. (2013). The molecular profile of adult T‐cell acute lymphoblastic leukemia: Mutations in RUNX1 and DNMT3A are associated with poor prognosis in T‐ALL. Genes Chromosomes and Cancer. 52(4). 410–422. 114 indexed citations

12.

Jeromin, Sabine, Sandra Weißmann, Claudia Haferlach, et al.. (2013). SF3B1 mutations correlated to cytogenetics and mutations in NOTCH1, FBXW7, MYD88, XPO1 and TP53 in 1160 untreated CLL patients. Leukemia. 28(1). 108–117. 144 indexed citations

13.

Grossmann, Vera, Andreas Roller, Hans‐Ulrich Klein, et al.. (2013). Robustness of Amplicon Deep Sequencing Underlines Its Utility in Clinical Applications. Journal of Molecular Diagnostics. 15(4). 473–484. 39 indexed citations

14.

Kohlmann, Alexander, Niroshan Nadarajah, Tamara Alpermann, et al.. (2013). Monitoring of residual disease by next-generation deep-sequencing of RUNX1 mutations can identify acute myeloid leukemia patients with resistant disease. Leukemia. 28(1). 129–137. 80 indexed citations

15.

Roller, Andreas, Alexander Kohlmann, Melanie Zenger, et al.. (2013). Gene Amplifications In 84 Patients With Acute Myeloid Leukemia and 31 Patients With Myelodysplastic Syndrome Investigated By Array CGH. Blood. 122(21). 3724–3724. 1 indexed citations

16.

Bacher, Ulrike, Torsten Haferlach, Susanne Schnittger, et al.. (2013). Investigation of 305 patients with myelodysplastic syndromes and 20q deletion for associated cytogenetic and molecular genetic lesions and their prognostic impact. British Journal of Haematology. 164(6). 822–833. 38 indexed citations

17.

Fasan, Annette, Tamara Alpermann, Claudia Haferlach, et al.. (2013). Frequency and Prognostic Impact of CEBPA Proximal, Distal and Core Promoter Methylation in Normal Karyotype AML: A Study on 623 Cases. PLoS ONE. 8(2). e54365–e54365. 23 indexed citations

18.

Meggendorfer, Manja, Andreas Roller, Torsten Haferlach, et al.. (2012). SRSF2 mutations in 275 cases with chronic myelomonocytic leukemia (CMML). Blood. 120(15). 3080–3088. 219 indexed citations

19.

Grossmann, Vera, Susanne Schnittger, Alexander Kohlmann, et al.. (2012). A novel hierarchical prognostic model of AML solely based on molecular mutations. Blood. 120(15). 2963–2972. 179 indexed citations

20.

Grossmann, Vera, Ulrike Bacher, Alexander Kohlmann, et al.. (2012). Expression of CEBPA is reduced in RUNX1-mutated acute myeloid leukemia. Blood Cancer Journal. 2(8). e86–e86. 17 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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