Nathaniel J. Schuldt

639 total citations
16 papers, 485 citations indexed

About

Nathaniel J. Schuldt is a scholar working on Immunology, Genetics and Infectious Diseases. According to data from OpenAlex, Nathaniel J. Schuldt has authored 16 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 6 papers in Genetics and 5 papers in Infectious Diseases. Recurrent topics in Nathaniel J. Schuldt's work include Immune Cell Function and Interaction (7 papers), HIV Research and Treatment (5 papers) and Virus-based gene therapy research (5 papers). Nathaniel J. Schuldt is often cited by papers focused on Immune Cell Function and Interaction (7 papers), HIV Research and Treatment (5 papers) and Virus-based gene therapy research (5 papers). Nathaniel J. Schuldt collaborates with scholars based in United States. Nathaniel J. Schuldt's co-authors include Andrea Amalfitano, Sergey S. Seregin, Sarah Godbehere, Bryce A. Binstadt, Yasser A. Aldhamen, Daniel M. Appledorn, Jeannine M. Scott, Jennifer L. Auger, Andrea Amalfitano and Anne Kiang and has published in prestigious journals such as Nature Communications, Blood and The Journal of Immunology.

In The Last Decade

Nathaniel J. Schuldt

15 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathaniel J. Schuldt United States 12 190 189 169 77 76 16 485
Ann Durbin United States 4 351 1.8× 278 1.5× 46 0.3× 116 1.5× 67 0.9× 8 627
Christie Bell United States 8 279 1.5× 65 0.3× 262 1.6× 87 1.1× 50 0.7× 9 523
Tracy Jo Pasieka United States 13 118 0.6× 240 1.3× 68 0.4× 42 0.5× 76 1.0× 15 567
Chaojiang Gu China 12 165 0.9× 72 0.4× 42 0.2× 42 0.5× 119 1.6× 18 467
Lihua Yang United States 13 167 0.9× 157 0.8× 43 0.3× 41 0.5× 22 0.3× 20 513
Pascal Chappert France 14 190 1.0× 315 1.7× 66 0.4× 89 1.2× 93 1.2× 22 578
Bonnie van Wilgenburg United Kingdom 12 171 0.9× 495 2.6× 58 0.3× 64 0.8× 78 1.0× 19 802
Munisch Wadwa Germany 9 146 0.8× 219 1.2× 32 0.2× 43 0.6× 69 0.9× 9 388
Bridget McLaughlin United States 10 165 0.9× 91 0.5× 64 0.4× 116 1.5× 32 0.4× 20 427
Kerstin Wunderlich Germany 18 364 1.9× 130 0.7× 103 0.6× 46 0.6× 51 0.7× 41 814

Countries citing papers authored by Nathaniel J. Schuldt

Since Specialization
Citations

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

Fields of papers citing papers by Nathaniel J. Schuldt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathaniel J. Schuldt

This figure shows the co-authorship network connecting the top 25 collaborators of Nathaniel J. Schuldt. A scholar is included among the top collaborators of Nathaniel J. Schuldt 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 Nathaniel J. Schuldt. Nathaniel J. Schuldt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Lindgren, A., et al.. (2025). Natural microbial exposure populates the maternal fetal interface with diverse T cells. Frontiers in Immunology. 16. 1616491–1616491.
2.
Pierson, Mark, Matthew A. Huggins, Tamara A. Kucaba, et al.. (2023). Natural Microbial Exposure from the Earliest Natural Time Point Enhances Immune Development by Expanding Immune Cell Progenitors and Mature Immune Cells. The Journal of Immunology. 210(11). 1740–1751. 9 indexed citations
3.
Zachs, Daniel P., Sarah J. Offutt, Rachel Stegeman, et al.. (2019). Noninvasive ultrasound stimulation of the spleen to treat inflammatory arthritis. Nature Communications. 10(1). 951–951. 94 indexed citations
4.
Schuldt, Nathaniel J. & Bryce A. Binstadt. (2019). Dual TCR T Cells: Identity Crisis or Multitaskers?. The Journal of Immunology. 202(3). 637–644. 40 indexed citations
5.
Schuldt, Nathaniel J., Jennifer L. Auger, Justin A. Spanier, et al.. (2017). Cutting Edge: Dual TCRα Expression Poses an Autoimmune Hazard by Limiting Regulatory T Cell Generation. The Journal of Immunology. 199(1). 33–38. 19 indexed citations
6.
Schuldt, Nathaniel J., Jennifer L. Auger, Kristin A. Hogquist, & Bryce A. Binstadt. (2015). Bi-Allelic TCRα or β Recombination Enhances T Cell Development but Is Dispensable for Antigen Responses and Experimental Autoimmune Encephalomyelitis. PLoS ONE. 10(12). e0145762–e0145762. 5 indexed citations
7.
Schuldt, Nathaniel J. & Andrea Amalfitano. (2012). Malaria vaccines: Focus on adenovirus based vectors. Vaccine. 30(35). 5191–5198. 27 indexed citations
8.
Schuldt, Nathaniel J., et al.. (2012). Immunogenicity when utilizing adenovirus serotype 4 and 5 vaccines expressing circumsporozoite protein in naïve and Adenovirus (Ad5) immune mice. Malaria Journal. 11(1). 209–209. 10 indexed citations
9.
Aldhamen, Yasser A., Sergey S. Seregin, Nathaniel J. Schuldt, et al.. (2012). Vaccines Expressing the Innate Immune Modulator EAT-2 Elicit Potent Effector Memory T Lymphocyte Responses despite Pre-Existing Vaccine Immunity. The Journal of Immunology. 189(3). 1349–1359. 14 indexed citations
10.
Schuldt, Nathaniel J., Yasser A. Aldhamen, Daniel M. Appledorn, et al.. (2011). Vaccine Platforms Combining Circumsporozoite Protein and Potent Immune Modulators, rEA or EAT-2, Paradoxically Result in Opposing Immune Responses. PLoS ONE. 6(8). e24147–e24147. 12 indexed citations
11.
Appledorn, Daniel M., Yasser A. Aldhamen, William H. DePas, et al.. (2010). A New Adenovirus Based Vaccine Vector Expressing an Eimeria tenella Derived TLR Agonist Improves Cellular Immune Responses to an Antigenic Target. PLoS ONE. 5(3). e9579–e9579. 31 indexed citations
12.
Aldhamen, Yasser A., Daniel M. Appledorn, Sergey S. Seregin, et al.. (2010). Expression of the SLAM Family of Receptors Adapter EAT-2 as a Novel Strategy for Enhancing Beneficial Immune Responses to Vaccine Antigens. The Journal of Immunology. 186(2). 722–732. 32 indexed citations
13.
Seregin, Sergey S., Yasser A. Aldhamen, Daniel M. Appledorn, et al.. (2010). Adenovirus capsid-display of the retro-oriented human complement inhibitor DAF reduces Ad vector–triggered immune responses in vitro and in vivo. Blood. 116(10). 1669–1677. 33 indexed citations
14.
Seregin, Sergey S., Daniel M. Appledorn, Nathaniel J. Schuldt, et al.. (2009). Transient Pretreatment With Glucocorticoid Ablates Innate Toxicity of Systemically Delivered Adenoviral Vectors Without Reducing Efficacy. Molecular Therapy. 17(4). 685–696. 80 indexed citations
15.
Seregin, Sergey S., Yasser A. Aldhamen, Nathaniel J. Schuldt, et al.. (2009). CR1/2 is an important suppressor of Adenovirus-induced innate immune responses and is required for induction of neutralizing antibodies. Gene Therapy. 16(10). 1245–1259. 17 indexed citations
16.
Seregin, Sergey S., Jeannine M. Scott, Nathaniel J. Schuldt, et al.. (2008). Complex interactions with several arms of the complement system dictate innate and humoral immunity to adenoviral vectors. Gene Therapy. 15(24). 1606–1617. 62 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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