Marcel Stern

821 citations
12 papers · 170 · h-index 8

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
    • COVID-19 Clinical Research Studies

Papers in

Marcel Stern

11 papers receiving 167 citations

Peers

Marcel Stern
Comparison fields: 5 of 45
  • Infectious Diseases 122
  • Virology 11
  • Immunology 35
  • Animal Science and Zoology 14
  • Applied Microbiology and Biotechnology 2
Replace Mansi Purwar with:
Mansi Purwar United States
Fabrice Gallais France
Liangzhi Xie China
Serena Messali Italy
Nikesh Tailor Canada
Marissa Fahlberg United States
Hedvig Glans Sweden
Sandro Halwe Germany
Shan-Lu Liu United States
Ilhan Tomris Netherlands
Marcel Stern relative to Mansi Purwar United States Mansi Purwar's profile →
Citations per field
00.5×8.5×
Mansi Purwar · 1×
Citations per year

Countries citing papers authored by Marcel Stern

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Stern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marcel Stern, 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 Marcel Stern Line = papers co-authored together Marcel Stern links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 202140
2 202231
3 202120
4 198517
5 202213
6 202113
7 202010
8 20228
9 20237
10
Human T cell hybridomas producing cytotoxic lymphokines: induction of lymphotoxin release and killer cell activity by anti-CD3 monoclonal antibody or lectins and phorbol ester.
19867
11 20244
12 20250

About Marcel Stern

Marcel Stern is a scholar working on Infectious Diseases, Radiology, Nuclear Medicine and Imaging, Immunology, Molecular Biology and Epidemiology, having authored 12 papers that have together received 170 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Advanced biosensing and bioanalysis techniques (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), Biosensors and Analytical Detection (2 papers), SARS-CoV-2 detection and testing (2 papers), COVID-19 Clinical Research Studies (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Infectious Diseases (122 citations), Virology (11 citations), Immunology (35 citations), Animal Science and Zoology (14 citations) and Applied Microbiology and Biotechnology (2 citations). Marcel Stern has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Oliver T. Keppler, Carl F. Ware, Andreas Osterman, Maximilian Muenchhoff, Lars Kaderali, Bonnie Mills, Alexander Graf, Hanna‐Mari Baldauf, David L. Haviland and Ulrike Protzer. Their work appears in journals such as Medical Microbiology and Immunology, iScience, The Journal of Immunology, Cell Reports and Vaccines.

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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