Michael Altenbuchinger

1.0k total citations
40 papers, 435 citations indexed

About

Michael Altenbuchinger is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Nuclear and High Energy Physics. According to data from OpenAlex, Michael Altenbuchinger has authored 40 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Pathology and Forensic Medicine and 8 papers in Nuclear and High Energy Physics. Recurrent topics in Michael Altenbuchinger's work include Metabolomics and Mass Spectrometry Studies (10 papers), Lymphoma Diagnosis and Treatment (9 papers) and Particle physics theoretical and experimental studies (7 papers). Michael Altenbuchinger is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (10 papers), Lymphoma Diagnosis and Treatment (9 papers) and Particle physics theoretical and experimental studies (7 papers). Michael Altenbuchinger collaborates with scholars based in Germany, China and United States. Michael Altenbuchinger's co-authors include Li‐Sheng Geng, W. Weise, Helena U. Zacharias, Wolfram Gronwald, Rainer Spang, Peter J. Oefner, John Quackenbush, Antoine Weihs, Hans J. Grabe and Waltraud X. Schulze and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.

In The Last Decade

Michael Altenbuchinger

38 papers receiving 428 citations

Peers

Michael Altenbuchinger

NHEP

PFM

ONCOL

Hesam Dashti United States

Chase Cockrell United States

Hajime Fukuda Japan

Sang Chul Kim South Korea

Júlio A. Mignaco Brazil

Yuhao Qin China

Yufan Wang China

Ivan Petrović Serbia

Adrien Le Guennec United Kingdom

Hesam Dashti United States

Michael Altenbuchinger

276 ×1.8

29 ×0.2

NHEP

42 ×1.3

5 ×0.2

PFM

14 ×0.6

ONCOL

Citations per year, relative to Michael Altenbuchinger Michael Altenbuchinger (= 1×) peers Hesam Dashti

Countries citing papers authored by Michael Altenbuchinger

Since Specialization

Citations

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

Fields of papers citing papers by Michael Altenbuchinger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Altenbuchinger

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

Schäfer, Andreas, et al.. (2025). FACT: Federated Adaptive Cross Training. Knowledge-Based Systems. 320. 113655–113655.

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

Schäfer, Andreas, Tim Beißbarth, Anagha Joshi, et al.. (2024). Adaptive digital tissue deconvolution. Bioinformatics. 40(Supplement_1). i100–i109. 1 indexed citations

Lohmayer, Robert, Marouen Ben Guebila, Andreas Schäfer, et al.. (2024). Spatial Cellular Networks from omics data with SpaCeNet. Genome Research. 34(9). 1371–1383. 4 indexed citations

Seifert, Nicole, Sarah Reinke, Julia Richter, et al.. (2024). T-cell diversity and exclusion of blood-derived T-cells in the tumor microenvironment of classical Hodgkin Lymphoma. Leukemia. 39(3). 684–693. 1 indexed citations

Seifert, Nicole, Deepak Vangala, Sabine Seidel, et al.. (2023). Treatment Strategies and Prognostic Factors in Secondary Central Nervous System Lymphoma: A Multicenter Study of 124 Patients. HemaSphere. 7(8). e926–e926. 2 indexed citations

Leich, Ellen, Tobias S. Schmidt, Michael Altenbuchinger, et al.. (2023). Gene expression and copy number profiling of follicular lymphoma biopsies from patients treated with first-line rituximab without chemotherapy. Leukemia & lymphoma. 64(12). 1927–1937. 2 indexed citations

Kotsis, Fruzsina, Michael Altenbuchinger, Jürgen Dönitz, et al.. (2023). Expectation of clinical decision support systems: a survey study among nephrologist end-users. BMC Medical Informatics and Decision Making. 23(1). 239–239. 3 indexed citations

Schmöckel, Sandra M., Christoph‐Martin Geilfus, Waltraud X. Schulze, et al.. (2023). Lipid remodeling of contrasting maize (Zea mays L.) hybrids under repeated drought. Frontiers in Plant Science. 14. 1050079–1050079. 8 indexed citations

10.

Schmidt, Tobias S., Dieter Kube, Peter J. Oefner, et al.. (2023). Anomaly detection in mixed high-dimensional molecular data. Bioinformatics. 39(8). 3 indexed citations

11.

Weighill, Deborah, Rebekka Burkholz, Marouen Ben Guebila, et al.. (2022). DRAGON: Determining Regulatory Associations using Graphical models on multi-Omic Networks. Nucleic Acids Research. 51(3). e15–e15. 8 indexed citations

12.

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

13.

Simeth, Jakob, et al.. (2020). Loss-Function Learning for Digital Tissue Deconvolution. Journal of Computational Biology. 27(3). 342–355. 4 indexed citations

14.

Reinders, Jörg, Michael Altenbuchinger, Julia Richter, et al.. (2020). Platform independent protein-based cell-of-origin subtyping of diffuse large B-cell lymphoma in formalin-fixed paraffin-embedded tissue. Scientific Reports. 10(1). 7876–7876. 6 indexed citations

15.

Schulze, Waltraud X., et al.. (2020). Proteome profiling of repeated drought stress reveals genotype-specific responses and memory effects in maize. Plant Physiology and Biochemistry. 159. 67–79. 30 indexed citations

16.

Wagner, Marcus, Sarah Reinke, Julia Richter, et al.. (2019). Automated macrophage counting in DLBCL tissue samples: a ROF filter based approach. Biological Procedures Online. 21(1). 13–13. 7 indexed citations

17.

Reinke, Sarah, Julia Richter, Falko Fend, et al.. (2018). Round-robin test for the cell-of-origin classification of diffuse large B-cell lymphoma—a feasibility study using full slide staining. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 473(3). 341–349. 3 indexed citations

18.

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

19.

Zacharias, Helena U., Tilo Wettig, Peter J. Oefner, et al.. (2017). Scale-Invariant Biomarker Discovery in Urine and Plasma Metabolite Fingerprints. Journal of Proteome Research. 16(10). 3596–3605. 16 indexed citations

20.

Altenbuchinger, Michael, W. Weise, & Li‐Sheng Geng. (2011). Light quark mass dependence of the D and D s decay constants. 1 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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