Daniel J. Wikenheiser

738 citations
9 papers · 527 · h-index 6

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Immune Cell Function and Interaction 7
    • T-cell and B-cell Immunology 5
    • Immunotherapy and Immune Responses 2
    • Immune Response and Inflammation 2
    • PI3K/AKT/mTOR signaling in cancer 2

Daniel J. Wikenheiser

9 papers receiving 522 citations

Peers

Daniel J. Wikenheiser
Comparison fields: 5 of 65
  • Immunology 359
  • Oncology 97
  • Biological Psychiatry 7
  • Cancer Research 37
  • Genetics 20
Replace Kei Haniuda with:
Kei Haniuda Japan
Magdalena Hagn Australia
Kai Sontheimer Germany
Chien‐Hsiung Yu Australia
Janet Staats United States
Francisco Victorino United States
Kitty P. Cheung United States
Emily Rowell United States
Devangi Mehta United States
Billur Akkaya United States
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Citations per field
00.5×1.5×1.8×
Kei Haniuda · 1×
Citations per year

Countries citing papers authored by Daniel J. Wikenheiser

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Wikenheiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2016209
2 2020192
3 201950
4 201547
5 201811
6 202011
7 20165
8 20251
9 20251

About Daniel J. Wikenheiser

Daniel J. Wikenheiser is a scholar working on Immunology, Molecular Biology, Epidemiology, Genetics and Public Health, Environmental and Occupational Health, having authored 9 papers that have together received 527 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (5 papers), Immunotherapy and Immune Responses (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Immune Response and Inflammation (2 papers), Malaria Research and Control (1 paper), Trypanosoma species research and implications (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Immunology (359 citations), Oncology (97 citations), Biological Psychiatry (7 citations), Cancer Research (37 citations) and Genetics (20 citations). Daniel J. Wikenheiser has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Jason S. Stumhofer, Laura Conter, Nikita Trivedi, Florian Weisel, Wei Luo, William F. Hawse, Mark J. Shlomchik, Debopam Ghosh, B. W. Kennedy and Stephen Joachim. Their work appears in journals such as The Journal of Immunology, Nature Immunology, Frontiers in Immunology, PLoS Pathogens and Journal of Clinical Investigation.

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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