Michael Ghosh

684 total citations
28 papers, 361 citations indexed

About

Michael Ghosh is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Immunology. According to data from OpenAlex, Michael Ghosh has authored 28 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 10 papers in Molecular Biology and 10 papers in Immunology. Recurrent topics in Michael Ghosh's work include Immunotherapy and Immune Responses (9 papers), Silicon and Solar Cell Technologies (8 papers) and vaccines and immunoinformatics approaches (8 papers). Michael Ghosh is often cited by papers focused on Immunotherapy and Immune Responses (9 papers), Silicon and Solar Cell Technologies (8 papers) and vaccines and immunoinformatics approaches (8 papers). Michael Ghosh collaborates with scholars based in Germany, Switzerland and India. Michael Ghosh's co-authors include Stefan Stevanović, Hans‐Georg Rammensee, Heiko Schuster, Moreno Di Marco, Linus Backert, Annika Nelde, M. Meier, Ralf Amann, Hanns-Joachim Rziha and Melanie Müller and has published in prestigious journals such as The Journal of Immunology, PLoS Biology and Biotechnology and Bioengineering.

In The Last Decade

Michael Ghosh

28 papers receiving 350 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 Ghosh Germany 11 141 138 85 68 41 28 361
Oliver Ast Switzerland 7 294 2.1× 117 0.8× 196 2.3× 33 0.5× 10 0.2× 11 531
Špela Kos Slovenia 14 159 1.1× 204 1.5× 78 0.9× 59 0.9× 15 0.4× 25 591
Lijuan Lu China 11 119 0.8× 138 1.0× 204 2.4× 40 0.6× 8 0.2× 22 411
Duc Huynh Australia 11 84 0.6× 88 0.6× 86 1.0× 79 1.2× 65 1.6× 18 335
Christoph Drees Germany 11 173 1.2× 170 1.2× 25 0.3× 30 0.4× 104 2.5× 19 426
Stephanie A. Fraser United States 10 146 1.0× 132 1.0× 38 0.4× 21 0.3× 36 0.9× 16 413
Shanshan Lin China 14 88 0.6× 238 1.7× 102 1.2× 43 0.6× 13 0.3× 25 561
Billy Truong United States 6 101 0.7× 145 1.1× 76 0.9× 82 1.2× 13 0.3× 10 519
Seiichi Hirano Japan 13 149 1.1× 756 5.5× 50 0.6× 35 0.5× 15 0.4× 38 987

Countries citing papers authored by Michael Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Michael Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Ghosh

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Ghosh. A scholar is included among the top collaborators of Michael Ghosh 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 Ghosh. Michael Ghosh 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.
Ghosh, Michael, et al.. (2024). Identification and relative abundance of naturally presented and cross-reactive influenza A virus MHC class I-restricted T cell epitopes. Emerging Microbes & Infections. 13(1). 2306959–2306959. 1 indexed citations
2.
Kauffmann, Alexander, Michael Ghosh, Sascha Seils, et al.. (2023). Microstructure and Mechanical Properties of a Precipitation‐Strengthened Fe–Al–Nb Alloy. Advanced Engineering Materials. 26(4). 1 indexed citations
3.
Richetta, Clémence, Anita Kumari, Michael Ghosh, et al.. (2022). The Autophagy Receptor TAX1BP1 ( T6BP ) improves antigen presentation by MHC‐II molecules. EMBO Reports. 23(12). e55470–e55470. 8 indexed citations
4.
Renko, Dolor, David Bouyssié, Emmanuelle Mouton‐Barbosa, et al.. (2021). Isoginkgetin derivative IP2 enhances the adaptive immune response against tumor antigens. Communications Biology. 4(1). 269–269. 14 indexed citations
5.
Ghosh, Michael, et al.. (2021). Mass spectrometry for quality control of bispecific antibodies after SDS‐PAGE in‐gel digestion. Biotechnology and Bioengineering. 118(8). 3069–3075. 3 indexed citations
6.
Ghosh, Michael, Stefan Stevanović, Hans‐Georg Rammensee, et al.. (2021). The dominantly expressed class II molecule from a resistant MHC haplotype presents only a few Marek’s disease virus peptides by using an unprecedented binding motif. PLoS Biology. 19(4). e3001057–e3001057. 12 indexed citations
7.
8.
Ghosh, Michael, Hanna Hartmann, Meike Jakobi, et al.. (2020). The Impact of Biomaterial Cell Contact on the Immunopeptidome. Frontiers in Bioengineering and Biotechnology. 8. 571294–571294. 5 indexed citations
9.
Ghosh, Michael, Moreno Di Marco, & Stefan Stevanović. (2019). Identification of MHC Ligands and Establishing MHC Class I Peptide Motifs. Methods in molecular biology. 137–147. 8 indexed citations
10.
Bichmann, Leon, Annika Nelde, Michael Ghosh, et al.. (2019). MHCquant: Automated and Reproducible Data Analysis for Immunopeptidomics. Journal of Proteome Research. 18(11). 3876–3884. 31 indexed citations
11.
Ghosh, Michael, Marius Cosmin Codrea, Marcos Tatagiba, et al.. (2018). Measles Virus-Based Treatments Trigger a Pro-inflammatory Cascade and a Distinctive Immunopeptidome in Glioblastoma. Molecular Therapy — Oncolytics. 12. 147–161. 43 indexed citations
12.
Marco, Moreno Di, Heiko Schuster, Linus Backert, et al.. (2017). Unveiling the Peptide Motifs of HLA-C and HLA-G from Naturally Presented Peptides and Generation of Binding Prediction Matrices. The Journal of Immunology. 199(8). 2639–2651. 68 indexed citations
13.
Moulin, Etienne, Karsten Bittkau, Michael Ghosh, et al.. (2015). Comparison of LPCVD and sputter-etched ZnO layers applied as front electrodes in tandem thin-film silicon solar cells. Solar Energy Materials and Solar Cells. 145. 185–192. 10 indexed citations
14.
Meier, M., Ulrich W. Paetzold, Michael Ghosh, & A. Erven. (2014). Nano-imprint lithography for advanced light management concepts in multi-junction solar cells. 2836–2838. 2 indexed citations
15.
Meier, M., et al.. (2014). Fabrication of Light-Scattering Multiscale Textures by Nanoimprinting for the Application to Thin-Film Silicon Solar Cells. IEEE Journal of Photovoltaics. 4(3). 772–777. 13 indexed citations
16.
Meier, M., et al.. (2014). Periodic nano-textures enhance efficiency in multi-junction silicon thin-film solar cells. physica status solidi (a). 212(1). 30–35. 5 indexed citations
17.
Roßberg, M., et al.. (2005). Investigation of Defects in the Edge Region of Multicrystalline Solar Silicon Ingots. Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena. 108-109. 531–538. 7 indexed citations
18.
Lawerenz, A., et al.. (2003). Infrared Transmission Investigations of Rod - Like Defects in Multicrystalline Silicon. Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena. 95-96. 501–506. 9 indexed citations
19.
Lawerenz, A., et al.. (2000). Measurement of the electrical activity of defects in multicrystalline silicon. 1647. 1 indexed citations
20.
Möller, Hans Joachim, et al.. (1995). Oxygen – Induced Microdefects in Multicrystalline Silicon. 1390. 2 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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