Simon Steiger

561 total citations · 1 hit paper
6 papers, 242 citations indexed

About

Simon Steiger is a scholar working on Oncology, Hematology and Immunology. According to data from OpenAlex, Simon Steiger has authored 6 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Hematology and 3 papers in Immunology. Recurrent topics in Simon Steiger's work include Multiple Myeloma Research and Treatments (3 papers), 3D Printing in Biomedical Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Simon Steiger is often cited by papers focused on Multiple Myeloma Research and Treatments (3 papers), 3D Printing in Biomedical Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Simon Steiger collaborates with scholars based in Germany, United States and Russia. Simon Steiger's co-authors include Karsten Rippe, Hartmut Goldschmidt, Carsten Müller‐Tidow, Niels Weinhold, Ranjan Maity, Marc‐Steffen Raab, Mirco Friedrich, Michael Kilian, Nizar J. Bahlis and Sungwoo Ahn and has published in prestigious journals such as Nature Communications, Blood and Nature Cell Biology.

In The Last Decade

Simon Steiger

6 papers receiving 239 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.

The pre-existing T cell landscape determines the response to bispecific T cell engagers in multiple myeloma patients

2023 131 citations Mirco Friedrich, Paola Neri et al. Cancer Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Simon Steiger Germany	5	146	110	96	82	52	6	242
Joseph Kauer Germany	8	107 0.7×	58 0.5×	65 0.7×	82 1.0×	44 0.8×	23	196
Michael Kilian Germany	6	140 1.0×	61 0.6×	86 0.9×	103 1.3×	46 0.9×	15	253
Kristi Elkins United Kingdom	5	174 1.2×	51 0.5×	103 1.1×	42 0.5×	68 1.3×	8	273
Johannes M. Waldschmidt Germany	9	158 1.1×	207 1.9×	149 1.6×	45 0.5×	28 0.5×	53	310
Heather Ogana United States	7	66 0.5×	87 0.8×	66 0.7×	34 0.4×	19 0.4×	16	204
Romanos Sklavenitis‐Pistofidis United States	8	127 0.9×	145 1.3×	156 1.6×	81 1.0×	11 0.2×	28	297
Petter O. Veiby United States	5	179 1.2×	85 0.8×	180 1.9×	33 0.4×	33 0.6×	10	304
Carly Campbell United States	8	73 0.5×	83 0.8×	205 2.1×	37 0.5×	35 0.7×	19	302
Vincent Nadeem Canada	4	104 0.7×	106 1.0×	133 1.4×	40 0.5×	35 0.7×	5	227
Jessica Encinas Spain	8	194 1.3×	130 1.2×	105 1.1×	173 2.1×	11 0.2×	13	349

Countries citing papers authored by Simon Steiger

Since Specialization

Citations

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

Fields of papers citing papers by Simon Steiger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Steiger

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

All Works

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6 of 6 papers shown

1.

Friedrich, Mirco, Paola Neri, Simon Steiger, et al.. (2023). The pre-existing T cell landscape determines the response to bispecific T cell engagers in multiple myeloma patients. Cancer Cell. 41(4). 711–725.e6. 131 indexed citations breakdown →

2.

Huebner, Aaron J., Ruslan Deviatiiarov, Samuel Demharter, et al.. (2023). Dissection of gastric homeostasis in vivo facilitates permanent capture of isthmus-like stem cells in vitro. Nature Cell Biology. 25(3). 390–403. 11 indexed citations

3.

Kilian, Michael, Sebastian Uhrig, Alexander Brobeil, et al.. (2022). IgE type multiple myeloma exhibits hypermutated phenotype and tumor reactive T cells. Journal for ImmunoTherapy of Cancer. 10(10). e005815–e005815. 5 indexed citations

4.

John, Lukas, Alexandra M. Poos, Stephan M. Tirier, et al.. (2021). The Spatial Heterogeneity in Newly Diagnosed Multiple Myeloma Patients - from Sub-Clonal Architecture to the Immune Microenvironment. Blood. 138(Supplement 1). 729–729. 3 indexed citations

5.

Tirier, Stephan M., Jan‐Philipp Mallm, Simon Steiger, et al.. (2021). Subclone-specific microenvironmental impact and drug response in refractory multiple myeloma revealed by single‐cell transcriptomics. Nature Communications. 12(1). 6960–6960. 78 indexed citations

6.

Tirier, Stephan M., Jeongbin Park, Friedrich Preußer, et al.. (2019). Pheno-seq – linking visual features and gene expression in 3D cell culture systems. Scientific Reports. 9(1). 14 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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