Daniel J. Wikenheiser

712 total citations
9 papers, 514 citations indexed

About

Daniel J. Wikenheiser is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Daniel J. Wikenheiser has authored 9 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Daniel J. Wikenheiser's work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (5 papers) and Immune Response and Inflammation (2 papers). Daniel J. Wikenheiser is often cited by papers focused on Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (5 papers) and Immune Response and Inflammation (2 papers). Daniel J. Wikenheiser collaborates with scholars based in United States, Germany and France. Daniel J. Wikenheiser's co-authors include Jason S. Stumhofer, Mark J. Shlomchik, Laura Conter, Wei Luo, William F. Hawse, Nikita Trivedi, Florian Weisel, B. W. Kennedy, Debopam Ghosh and Steven J. Mullett and has published in prestigious journals such as Journal of Clinical Investigation, Nature Immunology and The Journal of Immunology.

In The Last Decade

Daniel J. Wikenheiser

8 papers receiving 509 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel J. Wikenheiser United States	6	380	109	105	51	47	9	514
Marko Janke Germany	9	415 1.1×	129 1.2×	106 1.0×	36 0.7×	58 1.2×	12	570
Billur Akkaya United States	12	502 1.3×	159 1.5×	149 1.4×	51 1.0×	51 1.1×	21	686
Giovanni A. M. Povoleri United Kingdom	10	375 1.0×	92 0.8×	58 0.6×	26 0.5×	41 0.9×	11	493
Elisaveta Voynova United States	16	450 1.2×	135 1.2×	70 0.7×	52 1.0×	53 1.1×	23	643
Helen Ferry United Kingdom	16	386 1.0×	165 1.5×	64 0.6×	30 0.6×	33 0.7×	27	637
Kai Sontheimer Germany	6	537 1.4×	75 0.7×	184 1.8×	29 0.6×	45 1.0×	7	653
Vishal Sindhava United States	16	499 1.3×	182 1.7×	75 0.7×	109 2.1×	44 0.9×	25	730
Thamara Beyer Germany	8	615 1.6×	102 0.9×	205 2.0×	32 0.6×	57 1.2×	16	768
Ida Lindeman Norway	7	394 1.0×	150 1.4×	73 0.7×	39 0.8×	27 0.6×	12	505
S. Scott Perry United States	13	381 1.0×	182 1.7×	108 1.0×	35 0.7×	26 0.6×	18	603

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-authorship network of co-authors of Daniel J. Wikenheiser

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Wikenheiser. A scholar is included among the top collaborators of Daniel J. Wikenheiser based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel J. Wikenheiser. Daniel J. Wikenheiser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Leibler, Claire, Shuchi Smita, Shinu John, et al.. (2025). Divergent TIR signaling domains in TLR7 and TLR9 control opposing effects on systemic autoimmunity. Journal of Clinical Investigation. 135(21). 1 indexed citations

Jiang, Wenxia, Laura Conter, Daniel J. Wikenheiser, et al.. (2025). PTEN restricts IL-21R signaling in GC B cells and suppresses their differentiation to plasma cells. The Journal of Immunology. 214(11). 2936–2946.

Wikenheiser, Daniel J., et al.. (2020). ICOS signaling promotes a secondary humoral response after re-challenge with Plasmodium chabaudi chabaudi AS. PLoS Pathogens. 16(4). e1008527–e1008527. 11 indexed citations

Weisel, Florian, Steven J. Mullett, Rebecca A. Elsner, et al.. (2020). Germinal center B cells selectively oxidize fatty acids for energy while conducting minimal glycolysis. Nature Immunology. 21(3). 331–342. 190 indexed citations

Luo, Wei, William F. Hawse, Laura Conter, et al.. (2019). The AKT kinase signaling network is rewired by PTEN to control proximal BCR signaling in germinal center B cells. Nature Immunology. 20(6). 736–746. 47 indexed citations

Wikenheiser, Daniel J., et al.. (2018). NK1.1 Expression Defines a Population of CD4+ Effector T Cells Displaying Th1 and Tfh Cell Properties That Support Early Antibody Production During Plasmodium yoelii Infection. Frontiers in Immunology. 9. 2277–2277. 11 indexed citations

Wikenheiser, Daniel J. & Jason S. Stumhofer. (2016). ICOS Co-Stimulation: Friend or Foe?. Frontiers in Immunology. 7. 304–304. 204 indexed citations

Ghosh, Debopam, Daniel J. Wikenheiser, B. W. Kennedy, et al.. (2016). An Atypical Splenic B Cell Progenitor Population Supports Antibody Production during Plasmodium Infection in Mice. The Journal of Immunology. 197(5). 1788–1800. 5 indexed citations

Wikenheiser, Daniel J., Debopam Ghosh, B. W. Kennedy, & Jason S. Stumhofer. (2015). The Costimulatory Molecule ICOS Regulates Host Th1 and Follicular Th Cell Differentiation in Response to Plasmodium chabaudi chabaudi AS Infection. The Journal of Immunology. 196(2). 778–791. 45 indexed citations

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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