Michael Ghosh

684 citations
28 papers · 361 · h-index 11

Impact in

    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Peptidase Inhibition and Analysis

Papers in

Michael Ghosh

28 papers receiving 350 citations

Peers

Michael Ghosh
Comparison fields: 5 of 70
  • Immunology 141
  • Oncology 85
  • Virology 12
  • Molecular Biology 138
  • Genetics 37
Replace Oliver Ast with:
Oliver Ast Switzerland
Špela Kos Slovenia
Brandon Rawlings United States
Ryan Deschner United States
Shanshan Lin China
Stefano Persano Italy
Nural Orgun United States
Baijin Xia China
Marcel Kuiper United Kingdom
Chih-Long Chang Taiwan
Michael Ghosh relative to Oliver Ast Switzerland Oliver Ast's profile →
Citations per field
00.5×1.7×
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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201768
2 201843
3 201931
4 202025
5
An indigenously developed method for sweat collection and estimation of chloride for diagnosis of cystic fibrosis.
200222
6 202020
7 201418
8 202114
9 202214
10 201413
11 202112
12 201510
13 20039
14 20228
15 20198
16
Clinical course after mitral valve replacement.
19918
17 20057
18 20205
19 20145
20 20054

About Michael Ghosh

Michael Ghosh is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Immunology, Biomedical Engineering and Epidemiology, having authored 28 papers that have together received 361 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (9 papers), Thin-Film Transistor Technologies (8 papers), Silicon and Solar Cell Technologies (8 papers), vaccines and immunoinformatics approaches (8 papers), Nanowire Synthesis and Applications (4 papers), T-cell and B-cell Immunology (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Nanofabrication and Lithography Techniques (2 papers). The work is most often cited by research in Immunology (141 citations), Oncology (85 citations), Virology (12 citations), Molecular Biology (138 citations) and Genetics (37 citations). Michael Ghosh has collaborated with scholars based in Germany, Switzerland and India. Frequent co-authors include Stefan Stevanović, Hans‐Georg Rammensee, Moreno Di Marco, Heiko Schuster, Linus Backert, Annika Nelde, M. Meier, Ralf Amann, Melanie Müller and Hanns-Joachim Rziha. Their work appears in journals such as Solar Energy Materials and Solar Cells, Molecular Therapy — Oncolytics, Biotechnology and Bioengineering, Journal of Proteome Research and Molecular & Cellular Proteomics.

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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