John Moschera

1.6k citations
28 papers · 1.4k · h-index 18

Impact in

  • Immunology top 5%
    • interferon and immune responses
    • Immune Cell Function and Interaction
    • Transgenic Plants and Applications

Papers in

John Moschera

28 papers receiving 1.2k citations

Peers

John Moschera
Comparison fields: 5 of 92
  • Immunology 425
  • Biotechnology 142
  • Radiology, Nuclear Medicine and Imaging 306
  • Molecular Biology 806
  • Oncology 206
Replace Elwira Lisowska with:
Elwira Lisowska Poland
Por‐Hsiung Lai United States
Koki Makabe Japan
Rachel B. Kent United States
Ricardo Gutiérrez–Gallego Spain
T.P. Patel United Kingdom
Ursula Dąbrowski Germany
Tomio Ogasawara Japan
Naohisa Kochibe Japan
Ewa Pol Sweden
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Citations per field
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Elwira Lisowska · 1×
Citations per year

Countries citing papers authored by John Moschera

Since Specialization
Citations

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

Fields of papers citing papers by John Moschera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Moschera, 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 John Moschera Line = papers co-authored together John Moschera 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 1985256
2 1979129
3 1981125
4 1975113
5 198198
6 198178
7 198371
8 198363
9 198157
10 197355
11 199237
12 197829
13 197325
14 198625
15 200624
16 199224
17 198121
18 199220
19 199117
20 199816

About John Moschera

John Moschera is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Oncology and Biomedical Engineering, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), Glycosylation and Glycoproteins Research (5 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Protein purification and stability (5 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers), Microfluidic and Bio-sensing Technologies (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Immunology (425 citations), Biotechnology (142 citations), Radiology, Nuclear Medicine and Imaging (306 citations), Molecular Biology (806 citations) and Oncology (206 citations). John Moschera has collaborated with scholars based in United States, Switzerland and Israel. Frequent co-authors include Ward Pigman, Sidney Pestka, Anthony Herp, Stanley J. Stein, Albert M. Wu, M D Summers, Brad L. Ericson, H W Lahm, R Chizzonite and Gale Smith. Their work appears in journals such as Methods in enzymology on CD-ROM/Methods in enzymology, Journal of Chromatography A, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Archives of Biochemistry and Biophysics.

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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