Michael Ghosh

722 citations
29 papers · 376 · h-index 12

Impact in

    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

Michael Ghosh

27 papers receiving 365 citations

Peers

Michael Ghosh
Comparison fields: 5 of 70
  • Immunology 137
  • Virology 16
  • Oncology 79
  • Molecular Biology 138
  • Epidemiology 42
Replace Oliver Ast with:
Oliver Ast Switzerland
Brandon Rawlings United States
Ryan Deschner United States
Lian Lam United States
Shanshan Lin China
Chih-Long Chang Taiwan
Špela Kos Slovenia
Ruojie Wang United States
Joshua Glover United States
Nural Orgun United States
Michael Ghosh relative to Oliver Ast Switzerland Oliver Ast's profile →
Citations per field
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Oliver Ast · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Michael Ghosh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Ghosh Line = papers co-authored together Michael Ghosh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201770
2 201843
3 201933
4 202025
5 202024
6
An indigenously developed method for sweat collection and estimation of chloride for diagnosis of cystic fibrosis.
200222
7 201418
8 202215
9 202114
10 202113
11 201413
12 201511
13 20039
14 20058
15 20228
16 20198
17
Clinical course after mitral valve replacement.
19918
18 20206
19 20215
20 20145

About Michael Ghosh

Michael Ghosh is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Immunology, Biomedical Engineering and Epidemiology, having authored 29 papers that have together received 376 indexed citations. Recurring topics across this work include Silicon and Solar Cell Technologies (8 papers), Immunotherapy and Immune Responses (8 papers), Thin-Film Transistor Technologies (8 papers), vaccines and immunoinformatics approaches (7 papers), Nanowire Synthesis and Applications (4 papers), T-cell and B-cell Immunology (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Advanced Surface Polishing Techniques (2 papers). The work is most often cited by research in Immunology (137 citations), Virology (16 citations), Oncology (79 citations), Molecular Biology (138 citations) and Epidemiology (42 citations). Michael Ghosh has collaborated with scholars based in Germany, Switzerland and India. Frequent co-authors include Stefan Stevanović, Hans‐Georg Rammensee, Heiko Schuster, Moreno Di Marco, Linus Backert, M. Meier, Annika Nelde, Ralf Amann, Melanie Müller and Hanns-Joachim Rziha. Their work appears in journals such as Solar Energy Materials and Solar Cells, Frontiers in Bioengineering and Biotechnology, The Journal of Immunology, Journal for ImmunoTherapy of Cancer and Biotechnology and Bioengineering.

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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