Daniel E. Rothschild

680 citations
15 papers · 557 · h-index 11

Impact in

    • IL-33, ST2, and ILC Pathways
    • Immune Response and Inflammation
    • Immune cells in cancer
    • interferon and immune responses
    • NF-κB Signaling Pathways

Papers in

    • Inflammasome and immune disorders 5
    • IL-33, ST2, and ILC Pathways 4
    • Immune Response and Inflammation 3
    • Immune cells in cancer 2

Daniel E. Rothschild

15 papers receiving 553 citations

Peers

Daniel E. Rothschild
Comparison fields: 5 of 80
  • Immunology 176
  • Cancer Research 80
  • Molecular Biology 356
  • Biological Psychiatry 9
  • Neurology 26
Replace Colin C. Anderson with:
Colin C. Anderson United States
Emma Proïcs France
Shubo Zhao Germany
Alena Nareika United States
Janset Onyuru United States
Yan Zou China
Xuezhi Yang China
Mi‐Ae Lim South Korea
Daniel E. Rothschild relative to Colin C. Anderson United States Colin C. Anderson's profile →
Citations per field
00.5×10×20×26.5×
Colin C. Anderson · 1×
Citations per year

Countries citing papers authored by Daniel E. Rothschild

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Rothschild

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2015138
2 201885
3 201470
4 201658
5 201451
6 201444
7 201434
8 201620
9 201718
10 201615
11 201613
12 20245
13 20164
14 20151
15 20151

About Daniel E. Rothschild

Daniel E. Rothschild is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Surgery, having authored 15 papers that have together received 557 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (5 papers), IL-33, ST2, and ILC Pathways (4 papers), NF-κB Signaling Pathways (3 papers), Immune Response and Inflammation (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Cancer-related Molecular Pathways (2 papers), Eosinophilic Esophagitis (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Immunology (176 citations), Cancer Research (80 citations), Molecular Biology (356 citations), Biological Psychiatry (9 citations) and Neurology (26 citations). Daniel E. Rothschild has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Irving C. Allen, Dylan K. McDaniel, Sheryl Coutermarsh‐Ott, Tere Williams, Christopher C. Benz, Bettina Heid, Veronica M. Ringel‐Scaia, Gary K. Scott, Thomas E. Cecere and Martin D. Brand. Their work appears in journals such as The Journal of Immunology, Oncotarget, Nanomedicine Nanotechnology Biology and Medicine, Cellular and Molecular Gastroenterology and Hepatology and Journal of Leukocyte Biology.

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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