David Tieri

1.9k total citations · 1 hit paper
14 papers, 949 citations indexed

About

David Tieri is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, David Tieri has authored 14 papers receiving a total of 949 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 6 papers in Molecular Biology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in David Tieri's work include T-cell and B-cell Immunology (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Immune cells in cancer (3 papers). David Tieri is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Immune cells in cancer (3 papers). David Tieri collaborates with scholars based in United States, China and Japan. David Tieri's co-authors include Jun Yan, Xiao Hu, Chuanlin Ding, Corey T. Watson, Xiang Zhang, Eric C. Rouchka, Huang‐Ge Zhang, Robert A. Mitchell, Haixun Guo and Matthew P. Fox and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Immunology.

In The Last Decade

David Tieri

13 papers receiving 943 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Tumor-derived exosomes drive immunosuppressive macrophages in a pre-metastatic niche through glycolytic dominant metabolic reprogramming

2021 413 citations Samantha M. Morrissey, Fan Zhang et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Tieri United States	9	553	477	229	170	110	14	949
Elizabeth K. Duperret United States	18	476 0.9×	474 1.0×	143 0.6×	435 2.6×	56 0.5×	25	1.1k
H. Mytrang United States	10	454 0.8×	378 0.8×	190 0.8×	353 2.1×	26 0.2×	14	963
Paul Mrass Austria	9	630 1.1×	465 1.0×	50 0.2×	232 1.4×	94 0.9×	9	1.2k
David Klinkebiel United States	18	320 0.6×	691 1.4×	163 0.7×	258 1.5×	28 0.3×	35	1.1k
Jasper G. van den Boorn Netherlands	13	698 1.3×	398 0.8×	161 0.7×	155 0.9×	159 1.4×	14	1.2k
Inmoo Rhee South Korea	16	735 1.3×	577 1.2×	121 0.5×	285 1.7×	14 0.1×	30	1.2k
Anita Kulukian United States	9	299 0.5×	801 1.7×	48 0.2×	275 1.6×	60 0.5×	16	1.4k
Yuangang Liu United States	15	169 0.3×	361 0.8×	89 0.4×	189 1.1×	99 0.9×	26	651
Etsuko Fujii United States	15	163 0.3×	141 0.3×	86 0.4×	185 1.1×	180 1.6×	50	643
Karline Guilloteau France	8	315 0.6×	202 0.4×	75 0.3×	172 1.0×	176 1.6×	10	618

Countries citing papers authored by David Tieri

Since Specialization

Citations

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

Fields of papers citing papers by David Tieri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Tieri. 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 David Tieri. The network helps show where David Tieri may publish in the future.

Co-authorship network of co-authors of David Tieri

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

All Works

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14 of 14 papers shown

Shapiro, Jason W., et al.. (2026). Post-COVID impairment of memory T cell responses to community-acquired pathogens can be rectified by activating cellular metabolism. bioRxiv (Cold Spring Harbor Laboratory).

Engelbrecht, Eric, Oscar L. Rodriguez, Kaitlyn Shields, et al.. (2024). Resolving haplotype variation and complex genetic architecture in the human immunoglobulin kappa chain locus in individuals of diverse ancestry. Genes and Immunity. 25(4). 297–306. 6 indexed citations

Rodriguez, Oscar L., Yana Safonova, Kaitlyn Shields, et al.. (2023). Genetic variation in the immunoglobulin heavy chain locus shapes the human antibody repertoire. Nature Communications. 14(1). 4419–4419. 49 indexed citations

Tieri, David, Oscar L. Rodriguez, Nancy Francoeur, et al.. (2023). FLAIRR-Seq: A Method for Single-Molecule Resolution of Near Full-Length Antibody H Chain Repertoires. The Journal of Immunology. 210(10). 1607–1619. 15 indexed citations

Geller, Anne E., Rejeena Shrestha, Matthew R. Woeste, et al.. (2022). The induction of peripheral trained immunity in the pancreas incites anti-tumor activity to control pancreatic cancer progression. Nature Communications. 13(1). 759–759. 64 indexed citations

Qin, Hui, Yihua Cai, Xia Li, et al.. (2022). Dynamic trafficking patterns of IL-17-producing γδ T cells are linked to the recurrence of skin inflammation in psoriasis-like dermatitis. EBioMedicine. 82. 104136–104136. 27 indexed citations

Zhou, Mingqian, Chuanlin Ding, Justin T. Kos, et al.. (2021). Integrin CD11b Negatively Regulates B Cell Receptor Signaling to Shape Humoral Response during Immunization and Autoimmunity. The Journal of Immunology. 207(7). 1785–1797. 3 indexed citations

Morrissey, Samantha M., Fan Zhang, Chuanlin Ding, et al.. (2021). Tumor-derived exosomes drive immunosuppressive macrophages in a pre-metastatic niche through glycolytic dominant metabolic reprogramming. Cell Metabolism. 33(10). 2040–2058.e10. 413 indexed citations breakdown →

Liu, Min, Zan Tong, Chuanlin Ding, et al.. (2020). Transcription factor c-Maf is a checkpoint that programs macrophages in lung cancer. Journal of Clinical Investigation. 130(4). 2081–2096. 129 indexed citations

10.

Polidoro, Rafael B., Joshua E. Denny, Justin T. Kos, et al.. (2020). Gut Microbiota Composition Modulates the Magnitude and Quality of Germinal Centers during Plasmodium Infections. Cell Reports. 33(11). 108503–108503. 21 indexed citations

11.

Morrissey, Samantha M., Fan Zhang, Chenghui Yang, et al.. (2020). Tumor-Derived Exosomes Drive Immunosuppressive Macrophages in a Pre-Metastatic Niche Through NF-Kb Dependent Glycolytic Metabolic Reprogramming. SSRN Electronic Journal. 2 indexed citations

12.

Li, Xiaohong, Eric C. Rouchka, Guy Brock, et al.. (2018). A combined approach with gene-wise normalization improves the analysis of RNA-seq data in human breast cancer subtypes. PLoS ONE. 13(8). e0201813–e0201813. 5 indexed citations

13.

Cai, Yihua, Feng Xue, Chen Quan, et al.. (2018). A Critical Role of the IL-1β–IL-1R Signaling Pathway in Skin Inflammation and Psoriasis Pathogenesis. Journal of Investigative Dermatology. 139(1). 146–156. 204 indexed citations

14.

Ding, Chuanlin, David Tieri, Xiao Hu, et al.. (2018). Transcription Factor STAT3 Serves as a Negative Regulator Controlling IgE Class Switching in Mice. ImmunoHorizons. 2(11). 349–362. 11 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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