Rainer Spang

13.4k total citations · 2 hit papers
148 papers, 7.3k citations indexed

About

Rainer Spang is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Rainer Spang has authored 148 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Molecular Biology, 32 papers in Pathology and Forensic Medicine and 28 papers in Oncology. Recurrent topics in Rainer Spang's work include Gene expression and cancer classification (40 papers), Lymphoma Diagnosis and Treatment (29 papers) and Bioinformatics and Genomic Networks (26 papers). Rainer Spang is often cited by papers focused on Gene expression and cancer classification (40 papers), Lymphoma Diagnosis and Treatment (29 papers) and Bioinformatics and Genomic Networks (26 papers). Rainer Spang collaborates with scholars based in Germany, United States and Switzerland. Rainer Spang's co-authors include Florian Markowetz, Harry Zuzan, Joseph R. Nevins, Erich Huang, Mike West, Seiichi Ishida, Peter J. Oefner, Carrie Blanchette, Jeffrey R. Marks and John A. Olson and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Rainer Spang

140 papers receiving 7.1k 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.

Predicting the clinical status of human breast cancer by using gene expression profiles

2001 988 citations Rainer Spang et al. profile →
Metagenomic Analysis of the Stool Microbiome in Patients Receiving Allogeneic Stem Cell Transplantation: Loss of Diversity Is Associated with Use of Systemic Antibiotics and More Pronounced in Gastrointestinal Graft-versus-Host Disease

2014 367 citations Ernst Holler, Karin Schmid‐Zalaudek et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rainer Spang Germany	40	4.6k	1.6k	913	906	702	148	7.3k
Michael Reich United States	22	6.5k 1.4×	1.2k 0.8×	1.3k 1.4×	852 0.9×	1.0k 1.5×	42	9.6k
Tero Aittokallio Finland	54	6.3k 1.4×	1.4k 0.9×	1.1k 1.2×	351 0.4×	1.1k 1.6×	244	10.2k
Sampsa Hautaniemi Finland	49	4.9k 1.1×	1.5k 1.0×	1.6k 1.7×	534 0.6×	529 0.8×	186	7.6k
John E. Tomaszewski United States	51	2.0k 0.4×	1.5k 1.0×	1.3k 1.5×	685 0.8×	804 1.1×	203	9.4k
Kevin R. Coombes United States	53	6.8k 1.5×	1.7k 1.1×	2.1k 2.3×	625 0.7×	873 1.2×	241	10.2k
David A. Fishman United States	53	6.3k 1.4×	2.2k 1.4×	2.0k 2.2×	557 0.6×	817 1.2×	157	11.4k
Kenneth N. Ross United States	33	7.2k 1.6×	1.3k 0.8×	1.7k 1.9×	301 0.3×	617 0.9×	60	10.7k
David E. Misek United States	53	7.1k 1.6×	2.0k 1.3×	2.0k 2.2×	527 0.6×	1.6k 2.2×	95	11.1k
Julio Sáez-Rodríguez Germany	58	8.9k 2.0×	1.1k 0.7×	1.2k 1.3×	287 0.3×	1.2k 1.7×	249	12.4k
Balasubramanian Narasimhan United States	30	2.4k 0.5×	687 0.4×	733 0.8×	402 0.4×	434 0.6×	67	5.5k

Countries citing papers authored by Rainer Spang

Since Specialization

Citations

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

Fields of papers citing papers by Rainer Spang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rainer Spang

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

Simeth, Jakob, Roman Mayr, Florian Weber, et al.. (2025). Lipid metabolism of clear cell renal cell carcinoma predicts survival and affects intratumoral CD8 T cells. Translational Oncology. 61. 102513–102513.

Simeth, Jakob, et al.. (2024). Virtual tissue expression analysis. Bioinformatics. 40(12).

Lösch, Andreas, et al.. (2024). Differentiated uniformization: a new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models. Computational Statistics. 39(7). 3643–3663.

Grasedyck, Lars, et al.. (2024). Taming numerical imprecision by adapting the KL divergence to negative probabilities. Statistics and Computing. 34(5). 1 indexed citations

Richter, Julia, Katharina John, Annette M. Staiger, et al.. (2021). Epstein–Barr virus status of sporadic Burkitt lymphoma is associated with patient age and mutational features. British Journal of Haematology. 196(3). 681–689. 16 indexed citations

Meyer, Katharina, Julia C. Engelmann, Rainer Spang, et al.. (2021). Learning from Embryogenesis—A Comparative Expression Analysis in Melanoblast Differentiation and Tumorigenesis Reveals miRNAs Driving Melanoma Development. Journal of Clinical Medicine. 10(11). 2259–2259. 5 indexed citations

Simeth, Jakob, Paul V. Heinrich, Tilo Wettig, et al.. (2020). DTD: An R Package for Digital Tissue Deconvolution. Journal of Computational Biology. 27(3). 386–389. 3 indexed citations

Wettig, Tilo, et al.. (2019). Modelling cancer progression using Mutual Hazard Networks. Bioinformatics. 36(1). 241–249. 22 indexed citations

Heinrich, Paul V., Christian Köhler, Lisa Ellmann, et al.. (2018). Correcting for natural isotope abundance and tracer impurity in MS-, MS/MS- and high-resolution-multiple-tracer-data from stable isotope labeling experiments with IsoCorrectoR. Scientific Reports. 8(1). 17910–17910. 97 indexed citations

10.

Riquelme, Paloma, Jan Haarer, Lisa Walter, et al.. (2018). TIGIT+ iTregs elicited by human regulatory macrophages control T cell immunity. Nature Communications. 9(1). 2858–2858. 99 indexed citations

11.

Szczepanowski, Monika, J. Lange, Christian Köhler, et al.. (2017). Cell‐of‐origin classification by gene expression and MYC‐rearrangements in diffuse large B‐cell lymphoma of children and adolescents. British Journal of Haematology. 179(1). 116–119. 12 indexed citations

12.

Holler, Ernst, Karin Schmid‐Zalaudek, Christian Hundsrucker, et al.. (2014). Metagenomic analysis of the stool microbiome in patients receiving allogeneic SCT: Loss of diversity is associated with use of systemic antibiotics and more pronounced in gastrointestinal GvHD. University of Regensburg Publication Server (University of Regensburg). 4 indexed citations

13.

Yang, Moon Hee, Gaëlle Laurent, Alexandra S. Bause, et al.. (2013). HDAC6 and SIRT2 Regulate the Acetylation State and Oncogenic Activity of Mutant K-RAS. Molecular Cancer Research. 11(9). 1072–1077. 110 indexed citations

14.

Vockerodt, Martina, Frederike von Bonin, Wolfram Klapper, et al.. (2013). Aberrant Lymphocyte Enhancer–Binding Factor 1 Expression Is Characteristic for Sporadic Burkitt’s Lymphoma. American Journal Of Pathology. 182(4). 1092–1098. 29 indexed citations

15.

Hertwig, Falk, Katharina Meyer, Sebastian Braun, et al.. (2012). Definition of Genetic Events Directing the Development of Distinct Types of Brain Tumors from Postnatal Neural Stem/Progenitor Cells. Cancer Research. 72(13). 3381–3392. 12 indexed citations

16.

Engelmann, Julia C. & Rainer Spang. (2012). A Least Angle Regression Model for the Prediction of Canonical and Non-Canonical miRNA-mRNA Interactions. PLoS ONE. 7(7). e40634–e40634. 19 indexed citations

17.

Lottaz, Claudio, Dagmar Beier, Katharina Meyer, et al.. (2010). Transcriptional Profiles of CD133+ and CD133− Glioblastoma-Derived Cancer Stem Cell Lines Suggest Different Cells of Origin. Cancer Research. 70(5). 2030–2040. 207 indexed citations

18.

Bentink, Stefan, Swen Weßendorf, Carsten Schwäenen, et al.. (2008). Conserved oncogenic module activation patterns (COMAPS) identify biologically homogeneous groups of diffuse large B-cell lymphomas and clearly define Burkitt lymphoma. Annals of Oncology. 19. 83–83. 2 indexed citations

19.

Koczan, Dirk, Hans‐Juergen Thiesen, Saleh Ibrahim, et al.. (2007). Gene Expression Signatures for Tumor Progression, Tumor Subtype, and Tumor Thickness in Laser-Microdissected Melanoma Tissues. Clinical Cancer Research. 13(3). 806–815. 175 indexed citations

20.

Kirschner‐Schwabe, Renate, Claudio Lottaz, Peter Rhein, et al.. (2006). Expression of Late Cell Cycle Genes and an Increased Proliferative Capacity Characterize Very Early Relapse of Childhood Acute Lymphoblastic Leukemia. Clinical Cancer Research. 12(15). 4553–4561. 32 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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