Michael Notter

4.0k total citations
69 papers, 2.1k citations indexed

About

Michael Notter is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Michael Notter has authored 69 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 14 papers in Oncology and 13 papers in Molecular Biology. Recurrent topics in Michael Notter's work include Immune Cell Function and Interaction (12 papers), Immunotherapy and Immune Responses (11 papers) and Glycosylation and Glycoproteins Research (6 papers). Michael Notter is often cited by papers focused on Immune Cell Function and Interaction (12 papers), Immunotherapy and Immune Responses (11 papers) and Glycosylation and Glycoproteins Research (6 papers). Michael Notter collaborates with scholars based in Germany, United States and Switzerland. Michael Notter's co-authors include Michael Sittinger, Jochen Ringe, Christian Kaps, Michaela Endres, Katja Neumann, Kristin Andreas, Gerd R Burmester, Sandra Strassburg, Eveline Geiser and John D. E. Gabrieli and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

Michael Notter

68 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Notter Germany 25 521 516 363 351 285 69 2.1k
Lucio Díaz‐Flores Spain 28 1.1k 2.1× 436 0.8× 618 1.7× 244 0.7× 231 0.8× 129 3.1k
Cornelia Brendel Germany 28 776 1.5× 683 1.3× 598 1.6× 210 0.6× 450 1.6× 82 2.6k
Bernard L. Maria United States 33 1.4k 2.6× 794 1.5× 412 1.1× 211 0.6× 144 0.5× 104 4.3k
Erja Kerkelä Finland 27 1.3k 2.5× 481 0.9× 366 1.0× 76 0.2× 180 0.6× 52 2.5k
Daniel L. Coutu Canada 18 499 1.0× 346 0.7× 191 0.5× 65 0.2× 128 0.4× 25 1.4k
Claire M. Edwards United Kingdom 28 917 1.8× 172 0.3× 938 2.6× 104 0.3× 246 0.9× 81 2.8k
Nao Kobayashi Japan 26 938 1.8× 345 0.7× 276 0.8× 39 0.1× 136 0.5× 92 3.1k
Tadanori Tomita United States 43 1.5k 2.8× 1.9k 3.6× 433 1.2× 296 0.8× 129 0.5× 217 5.9k
Sowmya Viswanathan Canada 25 1.1k 2.0× 1.6k 3.0× 505 1.4× 513 1.5× 425 1.5× 97 3.3k
Joerg‐Christian Tonn Germany 29 729 1.4× 1.7k 3.2× 620 1.7× 61 0.2× 214 0.8× 111 3.6k

Countries citing papers authored by Michael Notter

Since Specialization
Citations

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

Fields of papers citing papers by Michael Notter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Notter

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

All Works

20 of 20 papers shown
1.
Notter, Michael, Peer Herholz, Sandra Da Costa, et al.. (2022). fMRIflows: A Consortium of Fully Automatic Univariate and Multivariate fMRI Processing Pipelines. Brain Topography. 36(2). 172–191. 5 indexed citations
2.
Franceschiello, Benedetta, Lorenzo Di Sopra, Silvio Ionta, et al.. (2020). 3-Dimensional magnetic resonance imaging of the freely moving human eye. Progress in Neurobiology. 194. 101885–101885. 7 indexed citations
3.
Notter, Michael, et al.. (2019). AtlasReader: A Python package to generate coordinate tables, region labels, and informative figures from statistical MRI images. The Journal of Open Source Software. 4(34). 1257–1257. 26 indexed citations
4.
Knebel, Jean‐François & Michael Notter. (2018). STEN 2.0: Statistical Toolbox for Electrical Neuroimaging. Figshare. 2 indexed citations
5.
Notter, Michael & Micah M. Murray. (2017). Pupillometry Analyzer: a lightweight matlab tool to pre-process pupillometry data. Figshare. 1 indexed citations
6.
Notter, Michael, Michael Hanke, Micah M. Murray, & Eveline Geiser. (2017). Encoding of Auditory Temporal Gestalt in the Human Brain. Cerebral Cortex. 29(2). 475–484. 10 indexed citations
8.
Knebel, Jean‐François & Michael Notter. (2012). STEN 1.0: Statistical Toolbox for Electrical Neuroimaging. Figshare. 3 indexed citations
9.
Andreas, Kristin, Radostina Georgieva, Mechthild Ladwig, et al.. (2012). Highly efficient magnetic stem cell labeling with citrate-coated superparamagnetic iron oxide nanoparticles for MRI tracking. Biomaterials. 33(18). 4515–4525. 182 indexed citations
10.
Geiser, Eveline, Michael Notter, & John D. E. Gabrieli. (2012). A Corticostriatal Neural System Enhances Auditory Perception through Temporal Context Processing. Journal of Neuroscience. 32(18). 6177–6182. 85 indexed citations
11.
Luminari, Stefano, Antonella Montanini, Dolores Caballero, et al.. (2011). patients with diffuse large B-cell lymphoma (DLBCL): results from the phase II EUR018 trial. Annals of Oncology. 1 indexed citations
12.
Luminari, Stefano, Antonella Montanini, Dolores Caballero, et al.. (2009). Nonpegylated liposomal doxorubicin (Myocet™) combination (R-COMP) chemotherapy in elderly patients with diffuse large B-cell lymphoma (DLBCL): results from the phase II EUR018 trial. Annals of Oncology. 21(7). 1492–1499. 70 indexed citations
13.
Schmidt‐Hieber, Martin, et al.. (2006). Hydrops lysosomalis generalisatus – an underestimated side effect of hydroxyethyl starch therapy?. European Journal Of Haematology. 77(1). 83–85. 23 indexed citations
14.
Epple, Hans–Jörg, et al.. (2003). HIV-positiver Patient mit Panzytopenie und massiver Splenomegalie. Der Internist. 44(8). 1031–1036. 2 indexed citations
15.
Rieder, Harald, et al.. (1998). Distinction of eosinophilic leukaemia from idiopathic hypereosinophilic syndrome by analysis of Wilms' tumour gene expression. British Journal of Haematology. 101(2). 325–334. 22 indexed citations
16.
Kunzendorf, Ulrich, Thomas Pohl, Silvia Bulfone‐Paus, et al.. (1996). Suppression of cell-mediated and humoral immune responses by an interleukin-2-immunoglobulin fusion protein in mice.. Journal of Clinical Investigation. 97(5). 1204–1210. 23 indexed citations
17.
Gazit, Zulma, David Weiss, Daniel Shouval, et al.. (1992). Chemo-adoptive immunotherapy of nude mice implanted with human colorectal carcinoma and melanoma cell lines. Cancer Immunology Immunotherapy. 35(2). 135–144. 13 indexed citations
18.
Notter, Michael & Volker Schirrmacher. (1990). Tumor‐specific T‐cell clones recognize different protein determinants of autologous human malignant melanoma cells. International Journal of Cancer. 45(5). 834–841. 15 indexed citations
19.
Notter, Michael, et al.. (1989). [Hyperthermia--a new element in cancer treatment].. PubMed. 78(34). 897–904. 1 indexed citations
20.
Noack, F., Michael Notter, & W. Weiß. (1988). Relaxation dispersion and zero-field spectroscopy of thermotropic and lyotropic liquid crystals by fast field-cycling N.M.R.. Liquid Crystals. 3(6-7). 907–925. 55 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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