Marc Silverman

1.0k citations
22 papers · 775 · h-index 10

Impact in

  • Immunology top 10%
    • Reproductive System and Pregnancy
    • T-cell and B-cell Immunology
    • Biometric Identification and Security

Papers in

Marc Silverman

16 papers receiving 713 citations

Peers

Marc Silverman
Comparison fields: 5 of 115
  • Immunology 252
  • Signal Processing 119
  • Pathology and Forensic Medicine 132
  • Neurology 55
  • Behavioral Neuroscience 17
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Simon Liu United States
Thomas Hentrich Germany
Tobias Hildebrandt Germany
David Willé Germany
Bao N. Nguyen Australia
Dominik Lutter Germany
Robin R. Johnson United States
Melih Tütüncü Türkiye
Kanji Tanaka Japan
Marc Silverman relative to Simon Liu United States Simon Liu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Marc Silverman

Since Specialization
Citations

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

Fields of papers citing papers by Marc Silverman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Marc Silverman, 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 Marc Silverman Line = papers co-authored together Marc Silverman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001230
2 2001210
3 2001111
4 200475
5 200247
6 200525
7 200716
8 200416
9 200212
10 200211
11 20177
12 20035
13 19995
14 19972
15 20041
16 19991
17
Teamwork and Collaboration in Libraries: Tools for Theory and Practice
20011
18
Tendencias principales en el Marketing de tarjetas
19890
19 20170
20
A Pedagogy of Humanist Moral Education: The Educational Thought of Janusz Korczak
20170

About Marc Silverman

Marc Silverman is a scholar working on Education, Sociology and Political Science, Immunology, Cellular and Molecular Neuroscience and Oncology, having authored 22 papers that have together received 775 indexed citations. Recurring topics across this work include Religious Education and Schools (4 papers), Jewish and Middle Eastern Studies (3 papers), T-cell and B-cell Immunology (3 papers), Pain Mechanisms and Treatments (3 papers), Critical and Liberation Pedagogy (2 papers), Immune Cell Function and Interaction (2 papers), Immunotherapy and Immune Responses (2 papers) and Diverse Education Studies and Reforms (2 papers). The work is most often cited by research in Immunology (252 citations), Signal Processing (119 citations), Pathology and Forensic Medicine (132 citations), Neurology (55 citations) and Behavioral Neuroscience (17 citations). Marc Silverman has collaborated with scholars based in United States, Israel and Poland. Frequent co-authors include Alex Zamora, Agata Matejuk, Halina Offner, Bruce F. Bebo, Atsushi Ito, Amber L. Fyfe‐Johnson, Sue A. Aicher, Arthur A. Vandenbark, Kirsten Adlard and Clayton W. Winkler. Their work appears in journals such as Neuroscience, Journal of Jewish Education, The Journal of Immunology, Brain Research and Religious Education.

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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