Daniel B. Zwick

499 citations
11 papers · 392 · h-index 10

Impact in

Papers in

    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 3
    • Immunodeficiency and Autoimmune Disorders 2
    • Glycosylation and Glycoproteins Research 3
    • Ubiquitin and proteasome pathways 1
    • Pluripotent Stem Cells Research 1

Daniel B. Zwick

11 papers receiving 390 citations

Peers

Daniel B. Zwick
Comparison fields: 5 of 66
  • Immunology 112
  • Biomaterials 44
  • Transplantation 8
  • Cell Biology 48
  • Molecular Biology 192
Replace Laura de Miguel with:
Laura de Miguel Spain
Nikolaos Dimitrakakis United States
Jingyi Qiu United States
Shay Bracha United States
Armin Ahmadi United States
Vinod Nadella India
Paul Machillot France
Dina B. AbuSamra United States
Fabien Dalonneau France
Daniel B. Zwick relative to Laura de Miguel Spain Laura de Miguel's profile →
Citations per field
00.5×
Laura de Miguel · 1×
Citations per year

Countries citing papers authored by Daniel B. Zwick

Since Specialization
Citations

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

Fields of papers citing papers by Daniel B. Zwick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel B. Zwick. 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 Daniel B. Zwick. The network helps show where Daniel B. Zwick may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2012136
2 201571
3 201950
4 202129
5 201927
6 201319
7 202016
8 201916
9 202213
10 201913
11 20242

About Daniel B. Zwick

Daniel B. Zwick is a scholar working on Immunology, Molecular Biology, Organic Chemistry, Virology and Oncology, having authored 11 papers that have together received 392 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers), Glycosylation and Glycoproteins Research (3 papers), Immunotherapy and Immune Responses (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Ubiquitin and proteasome pathways (1 paper), Diabetes and associated disorders (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Immunology (112 citations), Biomaterials (44 citations), Transplantation (8 citations), Cell Biology (48 citations) and Molecular Biology (192 citations). Daniel B. Zwick has collaborated with scholars based in United States and Japan. Frequent co-authors include Laura L. Kiessling, Nitasha R. Bennett, Stephen A. Morin, Paul J. Wrighton, Song Jin, Samira Musah, Adam H. Courtney, Mohammad Murshid Alam, Anna Valujskikh and Robert L. Fairchild. Their work appears in journals such as Biomacromolecules, American Journal of Transplantation, ACS Chemical Biology, ACS Nano and JCI Insight.

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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